In [4]:
plt.scatter(df['x'], df['y'])
Out[4]:
<matplotlib.collections.PathCollection at 0x28fbabac050>
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
column_names = ["x", "y"]
df = pd.read_csv(r"C:\Users\fatma\OneDrive\Masaüstü\regression_data.dat", sep=' ', names=column_names)
df.head()
| x | y | |
|---|---|---|
| 0 | 161.8636 | 185.7992 |
| 1 | 205.6503 | 111.4364 |
| 2 | 177.2683 | 134.8142 |
| 3 | 167.1650 | 189.2571 |
| 4 | 207.3360 | 183.1754 |
plt.scatter(df['x'], df['y'])
<matplotlib.collections.PathCollection at 0x28fbabac050>
def linear_regression(W, X):
y_predicted = np.dot(X, W)
return y_predicted
def polynomial_regression(W, X):
w0, w1, w2 = W
y_predicted = w2 * X[:, 2] + w1 * X[:, 1] + w0
return y_predicted
def mean_sqaured_error(Y, y_predicted):
loss = np.mean((Y - y_predicted)**2)
return loss
def training(X, Y, W, model, learning_rate, criterion):
#Zero The Gradients:
gradient = np.zeros(W.shape)
#Run The Model - Forward Pass:
y_predicted = model(W,X)
#Compute The Loss with Mean Squared Error:
loss = criterion(Y, y_predicted)
#Backpropagation:
gradient = -2 * np.dot(X.T, (Y.ravel() - y_predicted))/len(Y)
#Update The Weights:
W = W - learning_rate * gradient
return dict([('weights', W),
('loss', loss),
('predictions', y_predicted)])
def validation(X, Y, W, model, criterion):
#Run The Model - Forward Pass:
y_predicted = model(W,X)
#Compute The Loss with Mean Squared Error:
loss = criterion(Y, y_predicted)
return dict([('weights', W),
('loss', loss),
('predictions', y_predicted)])
def data_loader(df, degree):
column_names = ["x", "y"]
df = pd.read_csv(r"C:\Users\fatma\OneDrive\Masaüstü\regression_data.dat", sep=' ', names=column_names)
scaler = MinMaxScaler()
X = scaler.fit_transform(df["x"].values.reshape(-1,1))
Y = scaler.fit_transform(df["y"].values.reshape(-1,1))
df["x"] = X
df["y"] = Y
df['0'] = 1
for i in range(1,degree):
df[str(i)] = df['x'] ** i
X = np.concatenate([df[str(j)].values.reshape(-1, 1) for j in range(0,int(degree))], axis=1)
Y = df["y"].values.reshape(-1,1)
# Assuming you have your features X and labels Y
X_train, X_temp, Y_train, Y_temp = train_test_split(X, Y, test_size=0.4)
# Split the temporary set into validation and test sets
X_val, X_test, Y_val, Y_test = train_test_split(X_temp, Y_temp, test_size=0.6)
return [X_train, Y_train, X_val, Y_val, X_test, Y_test]
def learning_model(df, n_features, model, nb_epoch, learning_rate, criterion):
#The Random Initialization for The Weights:
W = np.random.randn(n_features)
trigger = 0
best_val_loss = float('inf')
data = data_loader(df,n_features)
for epoch in range(nb_epoch):
print("epoch:", epoch + 1)
#Training
train_results = training(data[0], data[1], W, model, learning_rate, criterion)
# Validation
val_results = validation(data[2], data[3], train_results['weights'], model, criterion)
num_epochs = str(nb_epoch)
print(f"Epoch {epoch + 1}/{nb_epoch} - "
f"Train Loss: {train_results['loss']:.4f} - "
f"Val Loss: {val_results['loss']:.4f}")
# Check if the current model is the best so far
if val_results['loss'] < best_val_loss + 0.001:
best_val_loss = val_results['loss']
# Save the model weights
# Update the best weights
best_weights = val_results['weights']
np.save('best_weights.npy', best_weights)
W = best_weights
print("New best model saved." + f"Epoch {epoch + 1}" +f"With loss {best_val_loss}")
training_results = validation(data[0], data[1], best_weights, model, criterion)
test_results = validation(data[4], data[5], best_weights, model, criterion)
if n_features == 3:
test_variance = np.var([validation(X.reshape(1,3), Y, best_weights, model, criterion)['loss'] for X, Y in zip(data[4], data[5])])
else:
test_variance = np.var([validation(X, Y, best_weights, model, criterion)['loss'] for X, Y in zip(data[4], data[5])])
print("Final Test Loss:", test_results['loss'])
return dict([('Test MSE', test_results['loss']),
('Test Variance', test_variance),
('Training SSE', 60*training_results['loss']),
('Weights', test_results['weights']),
('Test Predictions', test_results['predictions']),
('Test Y', data[5]),
('Test X', data[4]),
('Train X', data[0]),
('Train Y' , data[1]),
('Train Predictions',train_results['predictions'])])
linear_reg_model_results = learning_model(df, 2, linear_regression, 20000, 0.5, mean_sqaured_error)
epoch: 1 Epoch 1/20000 - Train Loss: 0.4482 - Val Loss: 0.1258 New best model saved.Epoch 1With loss 0.12583807730116764 epoch: 2 Epoch 2/20000 - Train Loss: 0.1078 - Val Loss: 0.1232 New best model saved.Epoch 2With loss 0.12319007844763315 epoch: 3 Epoch 3/20000 - Train Loss: 0.1040 - Val Loss: 0.1235 New best model saved.Epoch 3With loss 0.12349642829303499 epoch: 4 Epoch 4/20000 - Train Loss: 0.1045 - Val Loss: 0.1238 New best model saved.Epoch 4With loss 0.12376188416511058 epoch: 5 Epoch 5/20000 - Train Loss: 0.1048 - Val Loss: 0.1240 New best model saved.Epoch 5With loss 0.12400900119148967 epoch: 6 Epoch 6/20000 - Train Loss: 0.1051 - Val Loss: 0.1242 New best model saved.Epoch 6With loss 0.12423601671303008 epoch: 7 Epoch 7/20000 - Train Loss: 0.1054 - Val Loss: 0.1244 New best model saved.Epoch 7With loss 0.12444469448553722 epoch: 8 Epoch 8/20000 - Train Loss: 0.1057 - Val Loss: 0.1246 New best model saved.Epoch 8With loss 0.12463641376040206 epoch: 9 Epoch 9/20000 - Train Loss: 0.1059 - Val Loss: 0.1248 New best model saved.Epoch 9With loss 0.1248124851707247 epoch: 10 Epoch 10/20000 - Train Loss: 0.1062 - Val Loss: 0.1250 New best model saved.Epoch 10With loss 0.12497412817781073 epoch: 11 Epoch 11/20000 - Train Loss: 0.1064 - Val Loss: 0.1251 New best model saved.Epoch 11With loss 0.12512247717646596 epoch: 12 Epoch 12/20000 - Train Loss: 0.1066 - Val Loss: 0.1253 New best model saved.Epoch 12With loss 0.12525858551516816 epoch: 13 Epoch 13/20000 - Train Loss: 0.1067 - Val Loss: 0.1254 New best model saved.Epoch 13With loss 0.1253834298547561 epoch: 14 Epoch 14/20000 - Train Loss: 0.1069 - Val Loss: 0.1255 New best model saved.Epoch 14With loss 0.12549791455971382 epoch: 15 Epoch 15/20000 - Train Loss: 0.1070 - Val Loss: 0.1256 New best model saved.Epoch 15With loss 0.12560287606705287 epoch: 16 Epoch 16/20000 - Train Loss: 0.1072 - Val Loss: 0.1257 New best model saved.Epoch 16With loss 0.12569908717603798 epoch: 17 Epoch 17/20000 - Train Loss: 0.1073 - Val Loss: 0.1258 New best model saved.Epoch 17With loss 0.12578726121767403 epoch: 18 Epoch 18/20000 - Train Loss: 0.1074 - Val Loss: 0.1259 New best model saved.Epoch 18With loss 0.1258680560740837 epoch: 19 Epoch 19/20000 - Train Loss: 0.1075 - Val Loss: 0.1259 New best model saved.Epoch 19With loss 0.12594207802701451 epoch: 20 Epoch 20/20000 - Train Loss: 0.1076 - Val Loss: 0.1260 New best model saved.Epoch 20With loss 0.1260098854219662 epoch: 21 Epoch 21/20000 - Train Loss: 0.1077 - Val Loss: 0.1261 New best model saved.Epoch 21With loss 0.12607199214016762 epoch: 22 Epoch 22/20000 - Train Loss: 0.1078 - Val Loss: 0.1261 New best model saved.Epoch 22With loss 0.12612887087513303 epoch: 23 Epoch 23/20000 - Train Loss: 0.1079 - Val Loss: 0.1262 New best model saved.Epoch 23With loss 0.1261809562140169 epoch: 24 Epoch 24/20000 - Train Loss: 0.1079 - Val Loss: 0.1262 New best model saved.Epoch 24With loss 0.12622864752665428 epoch: 25 Epoch 25/20000 - Train Loss: 0.1080 - Val Loss: 0.1263 New best model saved.Epoch 25With loss 0.12627231166717506 epoch: 26 Epoch 26/20000 - Train Loss: 0.1081 - Val Loss: 0.1263 New best model saved.Epoch 26With loss 0.12631228549454418 epoch: 27 Epoch 27/20000 - Train Loss: 0.1081 - Val Loss: 0.1263 New best model saved.Epoch 27With loss 0.1263488782194111 epoch: 28 Epoch 28/20000 - Train Loss: 0.1082 - Val Loss: 0.1264 New best model saved.Epoch 28With loss 0.1263823735853392 epoch: 29 Epoch 29/20000 - Train Loss: 0.1082 - Val Loss: 0.1264 New best model saved.Epoch 29With loss 0.12641303189289863 epoch: 30 Epoch 30/20000 - Train Loss: 0.1082 - Val Loss: 0.1264 New best model saved.Epoch 30With loss 0.1264410918753035 epoch: 31 Epoch 31/20000 - Train Loss: 0.1083 - Val Loss: 0.1265 New best model saved.Epoch 31With loss 0.12646677243430604 epoch: 32 Epoch 32/20000 - Train Loss: 0.1083 - Val Loss: 0.1265 New best model saved.Epoch 32With loss 0.1264902742449616 epoch: 33 Epoch 33/20000 - Train Loss: 0.1083 - Val Loss: 0.1265 New best model saved.Epoch 33With loss 0.12651178123768353 epoch: 34 Epoch 34/20000 - Train Loss: 0.1084 - Val Loss: 0.1265 New best model saved.Epoch 34With loss 0.12653146196574097 epoch: 35 Epoch 35/20000 - Train Loss: 0.1084 - Val Loss: 0.1265 New best model saved.Epoch 35With loss 0.12654947086603446 epoch: 36 Epoch 36/20000 - Train Loss: 0.1084 - Val Loss: 0.1266 New best model saved.Epoch 36With loss 0.12656594942063243 epoch: 37 Epoch 37/20000 - Train Loss: 0.1084 - Val Loss: 0.1266 New best model saved.Epoch 37With loss 0.1265810272261781 epoch: 38 Epoch 38/20000 - Train Loss: 0.1085 - Val Loss: 0.1266 New best model saved.Epoch 38With loss 0.12659482297789076 epoch: 39 Epoch 39/20000 - Train Loss: 0.1085 - Val Loss: 0.1266 New best model saved.Epoch 39With loss 0.12660744537449775 epoch: 40 Epoch 40/20000 - Train Loss: 0.1085 - Val Loss: 0.1266 New best model saved.Epoch 40With loss 0.1266189939500471 epoch: 41 Epoch 41/20000 - Train Loss: 0.1085 - Val Loss: 0.1266 New best model saved.Epoch 41With loss 0.12662955983817353 epoch: 42 Epoch 42/20000 - Train Loss: 0.1085 - Val Loss: 0.1266 New best model saved.Epoch 42With loss 0.12663922647402368 epoch: 43 Epoch 43/20000 - Train Loss: 0.1085 - Val Loss: 0.1266 New best model saved.Epoch 43With loss 0.12664807023869268 epoch: 44 Epoch 44/20000 - Train Loss: 0.1085 - Val Loss: 0.1267 New best model saved.Epoch 44With loss 0.12665616105068694 epoch: 45 Epoch 45/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 45With loss 0.12666356290860534 epoch: 46 Epoch 46/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 46With loss 0.1266703343889282 epoch: 47 Epoch 47/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 47With loss 0.12667652910251448 epoch: 48 Epoch 48/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 48With loss 0.1266821961131392 epoch: 49 Epoch 49/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 49With loss 0.12668738032114865 epoch: 50 Epoch 50/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 50With loss 0.12669212281507602 epoch: 51 Epoch 51/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 51With loss 0.12669646119383765 epoch: 52 Epoch 52/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 52With loss 0.1267004298619267 epoch: 53 Epoch 53/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 53With loss 0.12670406029982867 epoch: 54 Epoch 54/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 54With loss 0.12670738131170695 epoch: 55 Epoch 55/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 55With loss 0.1267104192522424 epoch: 56 Epoch 56/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 56With loss 0.12671319823435975 epoch: 57 Epoch 57/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 57With loss 0.12671574031943153 epoch: 58 Epoch 58/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 58With loss 0.12671806569142346 epoch: 59 Epoch 59/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 59With loss 0.12672019281632332 epoch: 60 Epoch 60/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 60With loss 0.12672213858808629 epoch: 61 Epoch 61/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 61With loss 0.1267239184622282 epoch: 62 Epoch 62/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 62With loss 0.12672554657810448 epoch: 63 Epoch 63/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 63With loss 0.12672703587082654 epoch: 64 Epoch 64/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 64With loss 0.12672839817368886 epoch: 65 Epoch 65/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 65With loss 0.12672964431190648 epoch: 66 Epoch 66/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 66With loss 0.12673078418839673 epoch: 67 Epoch 67/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 67With loss 0.12673182686227744 epoch: 68 Epoch 68/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 68With loss 0.12673278062069682 epoch: 69 Epoch 69/20000 - Train Loss: 0.1086 - Val Loss: 0.1267 New best model saved.Epoch 69With loss 0.12673365304456002 epoch: 70 Epoch 70/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 70With loss 0.12673445106866912 epoch: 71 Epoch 71/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 71With loss 0.12673518103674913 epoch: 72 Epoch 72/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 72With loss 0.1267358487517944 epoch: 73 Epoch 73/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 73With loss 0.1267364595221323 epoch: 74 Epoch 74/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 74With loss 0.12673701820356684 epoch: 75 Epoch 75/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 75With loss 0.1267375292379361 epoch: 76 Epoch 76/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 76With loss 0.1267379966883872 epoch: 77 Epoch 77/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 77With loss 0.12673842427164828 epoch: 78 Epoch 78/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 78With loss 0.12673881538755224 epoch: 79 Epoch 79/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 79With loss 0.12673917314604663 epoch: 80 Epoch 80/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 80With loss 0.12673950039190227 epoch: 81 Epoch 81/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 81With loss 0.12673979972731772 epoch: 82 Epoch 82/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 82With loss 0.1267400735325978 epoch: 83 Epoch 83/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 83With loss 0.12674032398506985 epoch: 84 Epoch 84/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 84With loss 0.12674055307638893 epoch: 85 Epoch 85/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 85With loss 0.1267407626283673 epoch: 86 Epoch 86/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 86With loss 0.12674095430745597 epoch: 87 Epoch 87/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 87With loss 0.12674112963799095 epoch: 88 Epoch 88/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 88With loss 0.12674129001431106 epoch: 89 Epoch 89/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 89With loss 0.12674143671184263 epoch: 90 Epoch 90/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 90With loss 0.1267415708972395 epoch: 91 Epoch 91/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 91With loss 0.12674169363765797 epoch: 92 Epoch 92/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 92With loss 0.12674180590924178 epoch: 93 Epoch 93/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 93With loss 0.12674190860488324 epoch: 94 Epoch 94/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 94With loss 0.1267420025413228 epoch: 95 Epoch 95/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 95With loss 0.12674208846564322 epoch: 96 Epoch 96/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 96With loss 0.12674216706120997 epoch: 97 Epoch 97/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 97With loss 0.1267422389531052 epoch: 98 Epoch 98/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 98With loss 0.1267423047130986 epoch: 99 Epoch 99/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 99With loss 0.12674236486419352 epoch: 100 Epoch 100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 100With loss 0.12674241988478657 epoch: 101 Epoch 101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 101With loss 0.12674247021247165 epoch: 102 Epoch 102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 102With loss 0.12674251624751998 epoch: 103 Epoch 103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 103With loss 0.12674255835606313 epoch: 104 Epoch 104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 104With loss 0.12674259687300482 epoch: 105 Epoch 105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 105With loss 0.12674263210468434 epoch: 106 Epoch 106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 106With loss 0.12674266433131265 epoch: 107 Epoch 107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 107With loss 0.12674269380920092 epoch: 108 Epoch 108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 108With loss 0.1267427207727989 epoch: 109 Epoch 109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 109With loss 0.12674274543655964 epoch: 110 Epoch 110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 110With loss 0.12674276799664472 epoch: 111 Epoch 111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 111With loss 0.12674278863248473 epoch: 112 Epoch 112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 112With loss 0.1267428075082059 epoch: 113 Epoch 113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 113With loss 0.12674282477393572 epoch: 114 Epoch 114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 114With loss 0.1267428405669968 epoch: 115 Epoch 115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 115With loss 0.12674285501299903 epoch: 116 Epoch 116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 116With loss 0.1267428682268385 epoch: 117 Epoch 117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 117With loss 0.1267428803136116 epoch: 118 Epoch 118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 118With loss 0.12674289136945044 epoch: 119 Epoch 119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 119With loss 0.12674290148228776 epoch: 120 Epoch 120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 120With loss 0.12674291073255622 epoch: 121 Epoch 121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 121With loss 0.12674291919382796 epoch: 122 Epoch 122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 122With loss 0.12674292693339995 epoch: 123 Epoch 123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 123With loss 0.1267429340128291 epoch: 124 Epoch 124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 124With loss 0.12674294048842186 epoch: 125 Epoch 125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 125With loss 0.12674294641168207 epoch: 126 Epoch 126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 126With loss 0.12674295182972067 epoch: 127 Epoch 127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 127With loss 0.1267429567856302 epoch: 128 Epoch 128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 128With loss 0.1267429613188277 epoch: 129 Epoch 129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 129With loss 0.12674296546536817 epoch: 130 Epoch 130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 130With loss 0.12674296925823134 epoch: 131 Epoch 131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 131With loss 0.1267429727275839 epoch: 132 Epoch 132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 132With loss 0.12674297590101954 epoch: 133 Epoch 133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 133With loss 0.12674297880377836 epoch: 134 Epoch 134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 134With loss 0.1267429814589476 epoch: 135 Epoch 135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 135With loss 0.12674298388764527 epoch: 136 Epoch 136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 136With loss 0.12674298610918824 epoch: 137 Epoch 137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 137With loss 0.12674298814124557 epoch: 138 Epoch 138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 138With loss 0.12674298999997943 epoch: 139 Epoch 139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 139With loss 0.12674299170017334 epoch: 140 Epoch 140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 140With loss 0.12674299325534988 epoch: 141 Epoch 141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 141With loss 0.12674299467787828 epoch: 142 Epoch 142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 142With loss 0.12674299597907268 epoch: 143 Epoch 143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 143With loss 0.12674299716928222 epoch: 144 Epoch 144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 144With loss 0.1267429982579733 epoch: 145 Epoch 145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 145With loss 0.12674299925380492 epoch: 146 Epoch 146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 146With loss 0.12674300016469747 epoch: 147 Epoch 147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 147With loss 0.1267430009978958 epoch: 148 Epoch 148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 148With loss 0.12674300176002676 epoch: 149 Epoch 149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 149With loss 0.12674300245715212 epoch: 150 Epoch 150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 150With loss 0.1267430030948164 epoch: 151 Epoch 151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 151With loss 0.12674300367809135 epoch: 152 Epoch 152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 152With loss 0.1267430042116161 epoch: 153 Epoch 153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 153With loss 0.12674300469963404 epoch: 154 Epoch 154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 154With loss 0.1267430051460267 epoch: 155 Epoch 155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 155With loss 0.12674300555434448 epoch: 156 Epoch 156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 156With loss 0.12674300592783494 epoch: 157 Epoch 157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 157With loss 0.12674300626946866 epoch: 158 Epoch 158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 158With loss 0.12674300658196286 epoch: 159 Epoch 159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 159With loss 0.126743006867803 epoch: 160 Epoch 160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 160With loss 0.1267430071292625 epoch: 161 Epoch 161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 161With loss 0.12674300736842092 epoch: 162 Epoch 162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 162With loss 0.1267430075871804 epoch: 163 Epoch 163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 163With loss 0.1267430077872809 epoch: 164 Epoch 164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 164With loss 0.12674300797031388 epoch: 165 Epoch 165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 165With loss 0.12674300813773515 epoch: 166 Epoch 166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 166With loss 0.12674300829087626 epoch: 167 Epoch 167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 167With loss 0.12674300843095526 epoch: 168 Epoch 168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 168With loss 0.1267430085590863 epoch: 169 Epoch 169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 169With loss 0.1267430086762884 epoch: 170 Epoch 170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 170With loss 0.12674300878349387 epoch: 171 Epoch 171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 171With loss 0.1267430088815552 epoch: 172 Epoch 172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 172With loss 0.12674300897125249 epoch: 173 Epoch 173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 173With loss 0.12674300905329905 epoch: 174 Epoch 174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 174With loss 0.12674300912834752 epoch: 175 Epoch 175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 175With loss 0.12674300919699472 epoch: 176 Epoch 176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 176With loss 0.1267430092597867 epoch: 177 Epoch 177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 177With loss 0.12674300931722288 epoch: 178 Epoch 178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 178With loss 0.12674300936976002 epoch: 179 Epoch 179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 179With loss 0.12674300941781605 epoch: 180 Epoch 180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 180With loss 0.12674300946177314 epoch: 181 Epoch 181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 181With loss 0.12674300950198097 epoch: 182 Epoch 182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 182With loss 0.12674300953875925 epoch: 183 Epoch 183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 183With loss 0.12674300957240053 epoch: 184 Epoch 184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 184With loss 0.12674300960317242 epoch: 185 Epoch 185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 185With loss 0.12674300963131963 epoch: 186 Epoch 186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 186With loss 0.12674300965706603 epoch: 187 Epoch 187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 187With loss 0.1267430096806164 epoch: 188 Epoch 188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 188With loss 0.12674300970215802 epoch: 189 Epoch 189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 189With loss 0.12674300972186228 epoch: 190 Epoch 190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 190With loss 0.1267430097398859 epoch: 191 Epoch 191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 191With loss 0.12674300975637215 epoch: 192 Epoch 192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 192With loss 0.12674300977145225 epoch: 193 Epoch 193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 193With loss 0.1267430097852461 epoch: 194 Epoch 194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 194With loss 0.1267430097978634 epoch: 195 Epoch 195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 195With loss 0.1267430098094045 epoch: 196 Epoch 196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 196With loss 0.12674300981996123 epoch: 197 Epoch 197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 197With loss 0.1267430098296175 epoch: 198 Epoch 198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 198With loss 0.12674300983845016 epoch: 199 Epoch 199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 199With loss 0.12674300984652942 epoch: 200 Epoch 200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 200With loss 0.1267430098539196 epoch: 201 Epoch 201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 201With loss 0.1267430098606794 epoch: 202 Epoch 202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 202With loss 0.12674300986686265 epoch: 203 Epoch 203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 203With loss 0.1267430098725185 epoch: 204 Epoch 204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 204With loss 0.12674300987769194 epoch: 205 Epoch 205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 205With loss 0.12674300988242407 epoch: 206 Epoch 206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 206With loss 0.1267430098867526 epoch: 207 Epoch 207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 207With loss 0.12674300989071197 epoch: 208 Epoch 208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 208With loss 0.12674300989433357 epoch: 209 Epoch 209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 209With loss 0.1267430098976463 epoch: 210 Epoch 210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 210With loss 0.12674300990067647 epoch: 211 Epoch 211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 211With loss 0.12674300990344817 epoch: 212 Epoch 212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 212With loss 0.12674300990598347 epoch: 213 Epoch 213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 213With loss 0.12674300990830253 epoch: 214 Epoch 214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 214With loss 0.12674300991042375 epoch: 215 Epoch 215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 215With loss 0.1267430099123641 epoch: 216 Epoch 216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 216With loss 0.1267430099141389 epoch: 217 Epoch 217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 217With loss 0.12674300991576232 epoch: 218 Epoch 218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 218With loss 0.12674300991724727 epoch: 219 Epoch 219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 219With loss 0.12674300991860557 epoch: 220 Epoch 220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 220With loss 0.12674300991984805 epoch: 221 Epoch 221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 221With loss 0.1267430099209845 epoch: 222 Epoch 222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 222With loss 0.12674300992202406 epoch: 223 Epoch 223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 223With loss 0.12674300992297494 epoch: 224 Epoch 224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 224With loss 0.12674300992384469 epoch: 225 Epoch 225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 225With loss 0.12674300992464027 epoch: 226 Epoch 226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 226With loss 0.126743009925368 epoch: 227 Epoch 227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 227With loss 0.12674300992603366 epoch: 228 Epoch 228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 228With loss 0.12674300992664253 epoch: 229 Epoch 229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 229With loss 0.12674300992719945 epoch: 230 Epoch 230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 230With loss 0.12674300992770887 epoch: 231 Epoch 231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 231With loss 0.1267430099281749 epoch: 232 Epoch 232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 232With loss 0.12674300992860113 epoch: 233 Epoch 233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 233With loss 0.126743009928991 epoch: 234 Epoch 234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 234With loss 0.12674300992934762 epoch: 235 Epoch 235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 235With loss 0.12674300992967386 epoch: 236 Epoch 236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 236With loss 0.12674300992997223 epoch: 237 Epoch 237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 237With loss 0.12674300993024518 epoch: 238 Epoch 238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 238With loss 0.12674300993049484 epoch: 239 Epoch 239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 239With loss 0.1267430099307232 epoch: 240 Epoch 240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 240With loss 0.12674300993093207 epoch: 241 Epoch 241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 241With loss 0.12674300993112314 epoch: 242 Epoch 242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 242With loss 0.12674300993129792 epoch: 243 Epoch 243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 243With loss 0.1267430099314578 epoch: 244 Epoch 244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 244With loss 0.12674300993160398 epoch: 245 Epoch 245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 245With loss 0.12674300993173776 epoch: 246 Epoch 246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 246With loss 0.1267430099318601 epoch: 247 Epoch 247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 247With loss 0.12674300993197202 epoch: 248 Epoch 248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 248With loss 0.12674300993207438 epoch: 249 Epoch 249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 249With loss 0.12674300993216803 epoch: 250 Epoch 250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 250With loss 0.12674300993225368 epoch: 251 Epoch 251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 251With loss 0.126743009932332 epoch: 252 Epoch 252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 252With loss 0.12674300993240367 epoch: 253 Epoch 253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 253With loss 0.1267430099324692 epoch: 254 Epoch 254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 254With loss 0.12674300993252918 epoch: 255 Epoch 255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 255With loss 0.12674300993258403 epoch: 256 Epoch 256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 256With loss 0.12674300993263415 epoch: 257 Epoch 257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 257With loss 0.12674300993268006 epoch: 258 Epoch 258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 258With loss 0.12674300993272203 epoch: 259 Epoch 259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 259With loss 0.12674300993276044 epoch: 260 Epoch 260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 260With loss 0.12674300993279553 epoch: 261 Epoch 261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 261With loss 0.12674300993282767 epoch: 262 Epoch 262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 262With loss 0.12674300993285703 epoch: 263 Epoch 263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 263With loss 0.12674300993288393 epoch: 264 Epoch 264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 264With loss 0.1267430099329085 epoch: 265 Epoch 265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 265With loss 0.126743009932931 epoch: 266 Epoch 266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 266With loss 0.12674300993295157 epoch: 267 Epoch 267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 267With loss 0.12674300993297039 epoch: 268 Epoch 268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 268With loss 0.1267430099329876 epoch: 269 Epoch 269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 269With loss 0.12674300993300333 epoch: 270 Epoch 270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 270With loss 0.12674300993301774 epoch: 271 Epoch 271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 271With loss 0.1267430099330309 epoch: 272 Epoch 272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 272With loss 0.12674300993304294 epoch: 273 Epoch 273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 273With loss 0.12674300993305396 epoch: 274 Epoch 274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 274With loss 0.12674300993306406 epoch: 275 Epoch 275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 275With loss 0.12674300993307328 epoch: 276 Epoch 276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 276With loss 0.12674300993308169 epoch: 277 Epoch 277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 277With loss 0.12674300993308943 epoch: 278 Epoch 278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 278With loss 0.12674300993309648 epoch: 279 Epoch 279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 279With loss 0.12674300993310295 epoch: 280 Epoch 280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 280With loss 0.12674300993310883 epoch: 281 Epoch 281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 281With loss 0.12674300993311421 epoch: 282 Epoch 282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 282With loss 0.12674300993311916 epoch: 283 Epoch 283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 283With loss 0.12674300993312368 epoch: 284 Epoch 284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 284With loss 0.12674300993312784 epoch: 285 Epoch 285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 285With loss 0.12674300993313162 epoch: 286 Epoch 286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 286With loss 0.1267430099331351 epoch: 287 Epoch 287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 287With loss 0.12674300993313825 epoch: 288 Epoch 288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 288With loss 0.12674300993314114 epoch: 289 Epoch 289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 289With loss 0.12674300993314377 epoch: 290 Epoch 290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 290With loss 0.1267430099331462 epoch: 291 Epoch 291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 291With loss 0.1267430099331484 epoch: 292 Epoch 292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 292With loss 0.1267430099331504 epoch: 293 Epoch 293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 293With loss 0.12674300993315227 epoch: 294 Epoch 294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 294With loss 0.126743009933154 epoch: 295 Epoch 295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 295With loss 0.12674300993315551 epoch: 296 Epoch 296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 296With loss 0.12674300993315696 epoch: 297 Epoch 297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 297With loss 0.12674300993315823 epoch: 298 Epoch 298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 298With loss 0.12674300993315943 epoch: 299 Epoch 299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 299With loss 0.1267430099331605 epoch: 300 Epoch 300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 300With loss 0.12674300993316148 epoch: 301 Epoch 301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 301With loss 0.1267430099331624 epoch: 302 Epoch 302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 302With loss 0.12674300993316326 epoch: 303 Epoch 303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 303With loss 0.126743009933164 epoch: 304 Epoch 304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 304With loss 0.1267430099331647 epoch: 305 Epoch 305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 305With loss 0.12674300993316534 epoch: 306 Epoch 306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 306With loss 0.1267430099331659 epoch: 307 Epoch 307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 307With loss 0.12674300993316642 epoch: 308 Epoch 308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 308With loss 0.12674300993316692 epoch: 309 Epoch 309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 309With loss 0.1267430099331674 epoch: 310 Epoch 310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 310With loss 0.12674300993316778 epoch: 311 Epoch 311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 311With loss 0.12674300993316814 epoch: 312 Epoch 312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 312With loss 0.12674300993316848 epoch: 313 Epoch 313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 313With loss 0.1267430099331688 epoch: 314 Epoch 314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 314With loss 0.12674300993316912 epoch: 315 Epoch 315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 315With loss 0.12674300993316936 epoch: 316 Epoch 316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 316With loss 0.12674300993316956 epoch: 317 Epoch 317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 317With loss 0.1267430099331698 epoch: 318 Epoch 318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 318With loss 0.12674300993317 epoch: 319 Epoch 319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 319With loss 0.12674300993317017 epoch: 320 Epoch 320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 320With loss 0.12674300993317036 epoch: 321 Epoch 321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 321With loss 0.1267430099331705 epoch: 322 Epoch 322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 322With loss 0.12674300993317064 epoch: 323 Epoch 323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 323With loss 0.12674300993317078 epoch: 324 Epoch 324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 324With loss 0.1267430099331709 epoch: 325 Epoch 325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 325With loss 0.126743009933171 epoch: 326 Epoch 326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 326With loss 0.1267430099331711 epoch: 327 Epoch 327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 327With loss 0.1267430099331712 epoch: 328 Epoch 328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 328With loss 0.12674300993317125 epoch: 329 Epoch 329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 329With loss 0.12674300993317134 epoch: 330 Epoch 330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 330With loss 0.1267430099331714 epoch: 331 Epoch 331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 331With loss 0.1267430099331715 epoch: 332 Epoch 332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 332With loss 0.12674300993317153 epoch: 333 Epoch 333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 333With loss 0.12674300993317156 epoch: 334 Epoch 334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 334With loss 0.12674300993317164 epoch: 335 Epoch 335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 335With loss 0.12674300993317167 epoch: 336 Epoch 336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 336With loss 0.12674300993317172 epoch: 337 Epoch 337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 337With loss 0.12674300993317175 epoch: 338 Epoch 338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 338With loss 0.12674300993317178 epoch: 339 Epoch 339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 339With loss 0.12674300993317184 epoch: 340 Epoch 340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 340With loss 0.12674300993317184 epoch: 341 Epoch 341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 341With loss 0.1267430099331719 epoch: 342 Epoch 342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 342With loss 0.1267430099331719 epoch: 343 Epoch 343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 343With loss 0.1267430099331719 epoch: 344 Epoch 344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 344With loss 0.12674300993317195 epoch: 345 Epoch 345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 345With loss 0.12674300993317195 epoch: 346 Epoch 346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 346With loss 0.12674300993317195 epoch: 347 Epoch 347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 347With loss 0.12674300993317197 epoch: 348 Epoch 348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 348With loss 0.126743009933172 epoch: 349 Epoch 349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 349With loss 0.126743009933172 epoch: 350 Epoch 350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 350With loss 0.126743009933172 epoch: 351 Epoch 351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 351With loss 0.12674300993317203 epoch: 352 Epoch 352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 352With loss 0.12674300993317203 epoch: 353 Epoch 353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 353With loss 0.12674300993317206 epoch: 354 Epoch 354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 354With loss 0.12674300993317206 epoch: 355 Epoch 355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 355With loss 0.12674300993317206 epoch: 356 Epoch 356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 356With loss 0.12674300993317208 epoch: 357 Epoch 357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 357With loss 0.1267430099331721 epoch: 358 Epoch 358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 358With loss 0.1267430099331721 epoch: 359 Epoch 359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 359With loss 0.1267430099331721 epoch: 360 Epoch 360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 360With loss 0.1267430099331721 epoch: 361 Epoch 361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 361With loss 0.1267430099331721 epoch: 362 Epoch 362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 362With loss 0.1267430099331721 epoch: 363 Epoch 363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 363With loss 0.1267430099331721 epoch: 364 Epoch 364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 364With loss 0.1267430099331721 epoch: 365 Epoch 365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 365With loss 0.1267430099331721 epoch: 366 Epoch 366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 366With loss 0.1267430099331721 epoch: 367 Epoch 367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 367With loss 0.1267430099331721 epoch: 368 Epoch 368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 368With loss 0.1267430099331721 epoch: 369 Epoch 369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 369With loss 0.1267430099331721 epoch: 370 Epoch 370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 370With loss 0.1267430099331721 epoch: 371 Epoch 371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 371With loss 0.1267430099331721 epoch: 372 Epoch 372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 372With loss 0.1267430099331721 epoch: 373 Epoch 373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 373With loss 0.1267430099331721 epoch: 374 Epoch 374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 374With loss 0.1267430099331721 epoch: 375 Epoch 375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 375With loss 0.1267430099331721 epoch: 376 Epoch 376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 376With loss 0.1267430099331721 epoch: 377 Epoch 377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 377With loss 0.1267430099331721 epoch: 378 Epoch 378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 378With loss 0.1267430099331721 epoch: 379 Epoch 379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 379With loss 0.1267430099331721 epoch: 380 Epoch 380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 380With loss 0.1267430099331721 epoch: 381 Epoch 381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 381With loss 0.1267430099331721 epoch: 382 Epoch 382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 382With loss 0.1267430099331721 epoch: 383 Epoch 383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 383With loss 0.1267430099331721 epoch: 384 Epoch 384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 384With loss 0.1267430099331721 epoch: 385 Epoch 385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 385With loss 0.1267430099331721 epoch: 386 Epoch 386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 386With loss 0.1267430099331721 epoch: 387 Epoch 387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 387With loss 0.1267430099331721 epoch: 388 Epoch 388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 388With loss 0.1267430099331721 epoch: 389 Epoch 389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 389With loss 0.1267430099331721 epoch: 390 Epoch 390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 390With loss 0.1267430099331721 epoch: 391 Epoch 391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 391With loss 0.1267430099331721 epoch: 392 Epoch 392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 392With loss 0.1267430099331721 epoch: 393 Epoch 393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 393With loss 0.1267430099331721 epoch: 394 Epoch 394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 394With loss 0.1267430099331721 epoch: 395 Epoch 395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 395With loss 0.1267430099331721 epoch: 396 Epoch 396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 396With loss 0.1267430099331721 epoch: 397 Epoch 397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 397With loss 0.1267430099331721 epoch: 398 Epoch 398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 398With loss 0.1267430099331721 epoch: 399 Epoch 399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 399With loss 0.1267430099331721 epoch: 400 Epoch 400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 400With loss 0.1267430099331721 epoch: 401 Epoch 401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 401With loss 0.1267430099331721 epoch: 402 Epoch 402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 402With loss 0.1267430099331721 epoch: 403 Epoch 403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 403With loss 0.1267430099331721 epoch: 404 Epoch 404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 404With loss 0.1267430099331721 epoch: 405 Epoch 405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 405With loss 0.1267430099331721 epoch: 406 Epoch 406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 406With loss 0.1267430099331721 epoch: 407 Epoch 407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 407With loss 0.1267430099331721 epoch: 408 Epoch 408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 408With loss 0.1267430099331721 epoch: 409 Epoch 409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 409With loss 0.1267430099331721 epoch: 410 Epoch 410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 410With loss 0.1267430099331721 epoch: 411 Epoch 411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 411With loss 0.1267430099331721 epoch: 412 Epoch 412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 412With loss 0.1267430099331721 epoch: 413 Epoch 413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 413With loss 0.1267430099331721 epoch: 414 Epoch 414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 414With loss 0.1267430099331721 epoch: 415 Epoch 415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 415With loss 0.1267430099331721 epoch: 416 Epoch 416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 416With loss 0.1267430099331721 epoch: 417 Epoch 417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 417With loss 0.1267430099331721 epoch: 418 Epoch 418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 418With loss 0.1267430099331721 epoch: 419 Epoch 419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 419With loss 0.1267430099331721 epoch: 420 Epoch 420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 420With loss 0.1267430099331721 epoch: 421 Epoch 421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 421With loss 0.1267430099331721 epoch: 422 Epoch 422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 422With loss 0.1267430099331721 epoch: 423 Epoch 423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 423With loss 0.1267430099331721 epoch: 424 Epoch 424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 424With loss 0.1267430099331721 epoch: 425 Epoch 425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 425With loss 0.1267430099331721 epoch: 426 Epoch 426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 426With loss 0.1267430099331721 epoch: 427 Epoch 427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 427With loss 0.1267430099331721 epoch: 428 Epoch 428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 428With loss 0.1267430099331721 epoch: 429 Epoch 429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 429With loss 0.1267430099331721 epoch: 430 Epoch 430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 430With loss 0.1267430099331721 epoch: 431 Epoch 431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 431With loss 0.1267430099331721 epoch: 432 Epoch 432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 432With loss 0.1267430099331721 epoch: 433 Epoch 433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 433With loss 0.1267430099331721 epoch: 434 Epoch 434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 434With loss 0.1267430099331721 epoch: 435 Epoch 435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 435With loss 0.1267430099331721 epoch: 436 Epoch 436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 436With loss 0.1267430099331721 epoch: 437 Epoch 437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 437With loss 0.1267430099331721 epoch: 438 Epoch 438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 438With loss 0.1267430099331721 epoch: 439 Epoch 439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 439With loss 0.1267430099331721 epoch: 440 Epoch 440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 440With loss 0.1267430099331721 epoch: 441 Epoch 441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 441With loss 0.1267430099331721 epoch: 442 Epoch 442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 442With loss 0.1267430099331721 epoch: 443 Epoch 443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 443With loss 0.1267430099331721 epoch: 444 Epoch 444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 444With loss 0.1267430099331721 epoch: 445 Epoch 445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 445With loss 0.1267430099331721 epoch: 446 Epoch 446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 446With loss 0.1267430099331721 epoch: 447 Epoch 447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 447With loss 0.1267430099331721 epoch: 448 Epoch 448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 448With loss 0.1267430099331721 epoch: 449 Epoch 449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 449With loss 0.1267430099331721 epoch: 450 Epoch 450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 450With loss 0.1267430099331721 epoch: 451 Epoch 451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 451With loss 0.1267430099331721 epoch: 452 Epoch 452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 452With loss 0.1267430099331721 epoch: 453 Epoch 453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 453With loss 0.1267430099331721 epoch: 454 Epoch 454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 454With loss 0.1267430099331721 epoch: 455 Epoch 455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 455With loss 0.1267430099331721 epoch: 456 Epoch 456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 456With loss 0.1267430099331721 epoch: 457 Epoch 457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 457With loss 0.1267430099331721 epoch: 458 Epoch 458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 458With loss 0.1267430099331721 epoch: 459 Epoch 459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 459With loss 0.1267430099331721 epoch: 460 Epoch 460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 460With loss 0.1267430099331721 epoch: 461 Epoch 461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 461With loss 0.1267430099331721 epoch: 462 Epoch 462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 462With loss 0.1267430099331721 epoch: 463 Epoch 463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 463With loss 0.1267430099331721 epoch: 464 Epoch 464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 464With loss 0.1267430099331721 epoch: 465 Epoch 465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 465With loss 0.1267430099331721 epoch: 466 Epoch 466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 466With loss 0.1267430099331721 epoch: 467 Epoch 467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 467With loss 0.1267430099331721 epoch: 468 Epoch 468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 468With loss 0.1267430099331721 epoch: 469 Epoch 469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 469With loss 0.1267430099331721 epoch: 470 Epoch 470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 470With loss 0.1267430099331721 epoch: 471 Epoch 471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 471With loss 0.1267430099331721 epoch: 472 Epoch 472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 472With loss 0.1267430099331721 epoch: 473 Epoch 473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 473With loss 0.1267430099331721 epoch: 474 Epoch 474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 474With loss 0.1267430099331721 epoch: 475 Epoch 475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 475With loss 0.1267430099331721 epoch: 476 Epoch 476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 476With loss 0.1267430099331721 epoch: 477 Epoch 477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 477With loss 0.1267430099331721 epoch: 478 Epoch 478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 478With loss 0.1267430099331721 epoch: 479 Epoch 479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 479With loss 0.1267430099331721 epoch: 480 Epoch 480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 480With loss 0.1267430099331721 epoch: 481 Epoch 481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 481With loss 0.1267430099331721 epoch: 482 Epoch 482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 482With loss 0.1267430099331721 epoch: 483 Epoch 483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 483With loss 0.1267430099331721 epoch: 484 Epoch 484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 484With loss 0.1267430099331721 epoch: 485 Epoch 485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 485With loss 0.1267430099331721 epoch: 486 Epoch 486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 486With loss 0.1267430099331721 epoch: 487 Epoch 487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 487With loss 0.1267430099331721 epoch: 488 Epoch 488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 488With loss 0.1267430099331721 epoch: 489 Epoch 489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 489With loss 0.1267430099331721 epoch: 490 Epoch 490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 490With loss 0.1267430099331721 epoch: 491 Epoch 491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 491With loss 0.1267430099331721 epoch: 492 Epoch 492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 492With loss 0.1267430099331721 epoch: 493 Epoch 493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 493With loss 0.1267430099331721 epoch: 494 Epoch 494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 494With loss 0.1267430099331721 epoch: 495 Epoch 495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 495With loss 0.1267430099331721 epoch: 496 Epoch 496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 496With loss 0.1267430099331721 epoch: 497 Epoch 497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 497With loss 0.1267430099331721 epoch: 498 Epoch 498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 498With loss 0.1267430099331721 epoch: 499 Epoch 499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 499With loss 0.1267430099331721 epoch: 500 Epoch 500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 500With loss 0.1267430099331721 epoch: 501 Epoch 501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 501With loss 0.1267430099331721 epoch: 502 Epoch 502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 502With loss 0.1267430099331721 epoch: 503 Epoch 503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 503With loss 0.1267430099331721 epoch: 504 Epoch 504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 504With loss 0.1267430099331721 epoch: 505 Epoch 505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 505With loss 0.1267430099331721 epoch: 506 Epoch 506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 506With loss 0.1267430099331721 epoch: 507 Epoch 507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 507With loss 0.1267430099331721 epoch: 508 Epoch 508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 508With loss 0.1267430099331721 epoch: 509 Epoch 509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 509With loss 0.1267430099331721 epoch: 510 Epoch 510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 510With loss 0.1267430099331721 epoch: 511 Epoch 511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 511With loss 0.1267430099331721 epoch: 512 Epoch 512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 512With loss 0.1267430099331721 epoch: 513 Epoch 513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 513With loss 0.1267430099331721 epoch: 514 Epoch 514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 514With loss 0.1267430099331721 epoch: 515 Epoch 515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 515With loss 0.1267430099331721 epoch: 516 Epoch 516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 516With loss 0.1267430099331721 epoch: 517 Epoch 517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 517With loss 0.1267430099331721 epoch: 518 Epoch 518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 518With loss 0.1267430099331721 epoch: 519 Epoch 519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 519With loss 0.1267430099331721 epoch: 520 Epoch 520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 520With loss 0.1267430099331721 epoch: 521 Epoch 521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 521With loss 0.1267430099331721 epoch: 522 Epoch 522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 522With loss 0.1267430099331721 epoch: 523 Epoch 523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 523With loss 0.1267430099331721 epoch: 524 Epoch 524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 524With loss 0.1267430099331721 epoch: 525 Epoch 525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 525With loss 0.1267430099331721 epoch: 526 Epoch 526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 526With loss 0.1267430099331721 epoch: 527 Epoch 527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 527With loss 0.1267430099331721 epoch: 528 Epoch 528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 528With loss 0.1267430099331721 epoch: 529 Epoch 529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 529With loss 0.1267430099331721 epoch: 530 Epoch 530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 530With loss 0.1267430099331721 epoch: 531 Epoch 531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 531With loss 0.1267430099331721 epoch: 532 Epoch 532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 532With loss 0.1267430099331721 epoch: 533 Epoch 533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 533With loss 0.1267430099331721 epoch: 534 Epoch 534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 534With loss 0.1267430099331721 epoch: 535 Epoch 535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 535With loss 0.1267430099331721 epoch: 536 Epoch 536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 536With loss 0.1267430099331721 epoch: 537 Epoch 537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 537With loss 0.1267430099331721 epoch: 538 Epoch 538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 538With loss 0.1267430099331721 epoch: 539 Epoch 539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 539With loss 0.1267430099331721 epoch: 540 Epoch 540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 540With loss 0.1267430099331721 epoch: 541 Epoch 541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 541With loss 0.1267430099331721 epoch: 542 Epoch 542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 542With loss 0.1267430099331721 epoch: 543 Epoch 543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 543With loss 0.1267430099331721 epoch: 544 Epoch 544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 544With loss 0.1267430099331721 epoch: 545 Epoch 545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 545With loss 0.1267430099331721 epoch: 546 Epoch 546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 546With loss 0.1267430099331721 epoch: 547 Epoch 547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 547With loss 0.1267430099331721 epoch: 548 Epoch 548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 548With loss 0.1267430099331721 epoch: 549 Epoch 549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 549With loss 0.1267430099331721 epoch: 550 Epoch 550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 550With loss 0.1267430099331721 epoch: 551 Epoch 551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 551With loss 0.1267430099331721 epoch: 552 Epoch 552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 552With loss 0.1267430099331721 epoch: 553 Epoch 553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 553With loss 0.1267430099331721 epoch: 554 Epoch 554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 554With loss 0.1267430099331721 epoch: 555 Epoch 555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 555With loss 0.1267430099331721 epoch: 556 Epoch 556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 556With loss 0.1267430099331721 epoch: 557 Epoch 557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 557With loss 0.1267430099331721 epoch: 558 Epoch 558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 558With loss 0.1267430099331721 epoch: 559 Epoch 559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 559With loss 0.1267430099331721 epoch: 560 Epoch 560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 560With loss 0.1267430099331721 epoch: 561 Epoch 561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 561With loss 0.1267430099331721 epoch: 562 Epoch 562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 562With loss 0.1267430099331721 epoch: 563 Epoch 563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 563With loss 0.1267430099331721 epoch: 564 Epoch 564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 564With loss 0.1267430099331721 epoch: 565 Epoch 565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 565With loss 0.1267430099331721 epoch: 566 Epoch 566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 566With loss 0.1267430099331721 epoch: 567 Epoch 567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 567With loss 0.1267430099331721 epoch: 568 Epoch 568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 568With loss 0.1267430099331721 epoch: 569 Epoch 569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 569With loss 0.1267430099331721 epoch: 570 Epoch 570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 570With loss 0.1267430099331721 epoch: 571 Epoch 571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 571With loss 0.1267430099331721 epoch: 572 Epoch 572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 572With loss 0.1267430099331721 epoch: 573 Epoch 573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 573With loss 0.1267430099331721 epoch: 574 Epoch 574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 574With loss 0.1267430099331721 epoch: 575 Epoch 575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 575With loss 0.1267430099331721 epoch: 576 Epoch 576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 576With loss 0.1267430099331721 epoch: 577 Epoch 577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 577With loss 0.1267430099331721 epoch: 578 Epoch 578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 578With loss 0.1267430099331721 epoch: 579 Epoch 579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 579With loss 0.1267430099331721 epoch: 580 Epoch 580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 580With loss 0.1267430099331721 epoch: 581 Epoch 581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 581With loss 0.1267430099331721 epoch: 582 Epoch 582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 582With loss 0.1267430099331721 epoch: 583 Epoch 583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 583With loss 0.1267430099331721 epoch: 584 Epoch 584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 584With loss 0.1267430099331721 epoch: 585 Epoch 585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 585With loss 0.1267430099331721 epoch: 586 Epoch 586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 586With loss 0.1267430099331721 epoch: 587 Epoch 587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 587With loss 0.1267430099331721 epoch: 588 Epoch 588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 588With loss 0.1267430099331721 epoch: 589 Epoch 589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 589With loss 0.1267430099331721 epoch: 590 Epoch 590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 590With loss 0.1267430099331721 epoch: 591 Epoch 591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 591With loss 0.1267430099331721 epoch: 592 Epoch 592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 592With loss 0.1267430099331721 epoch: 593 Epoch 593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 593With loss 0.1267430099331721 epoch: 594 Epoch 594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 594With loss 0.1267430099331721 epoch: 595 Epoch 595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 595With loss 0.1267430099331721 epoch: 596 Epoch 596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 596With loss 0.1267430099331721 epoch: 597 Epoch 597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 597With loss 0.1267430099331721 epoch: 598 Epoch 598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 598With loss 0.1267430099331721 epoch: 599 Epoch 599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 599With loss 0.1267430099331721 epoch: 600 Epoch 600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 600With loss 0.1267430099331721 epoch: 601 Epoch 601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 601With loss 0.1267430099331721 epoch: 602 Epoch 602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 602With loss 0.1267430099331721 epoch: 603 Epoch 603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 603With loss 0.1267430099331721 epoch: 604 Epoch 604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 604With loss 0.1267430099331721 epoch: 605 Epoch 605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 605With loss 0.1267430099331721 epoch: 606 Epoch 606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 606With loss 0.1267430099331721 epoch: 607 Epoch 607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 607With loss 0.1267430099331721 epoch: 608 Epoch 608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 608With loss 0.1267430099331721 epoch: 609 Epoch 609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 609With loss 0.1267430099331721 epoch: 610 Epoch 610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 610With loss 0.1267430099331721 epoch: 611 Epoch 611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 611With loss 0.1267430099331721 epoch: 612 Epoch 612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 612With loss 0.1267430099331721 epoch: 613 Epoch 613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 613With loss 0.1267430099331721 epoch: 614 Epoch 614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 614With loss 0.1267430099331721 epoch: 615 Epoch 615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 615With loss 0.1267430099331721 epoch: 616 Epoch 616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 616With loss 0.1267430099331721 epoch: 617 Epoch 617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 617With loss 0.1267430099331721 epoch: 618 Epoch 618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 618With loss 0.1267430099331721 epoch: 619 Epoch 619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 619With loss 0.1267430099331721 epoch: 620 Epoch 620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 620With loss 0.1267430099331721 epoch: 621 Epoch 621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 621With loss 0.1267430099331721 epoch: 622 Epoch 622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 622With loss 0.1267430099331721 epoch: 623 Epoch 623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 623With loss 0.1267430099331721 epoch: 624 Epoch 624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 624With loss 0.1267430099331721 epoch: 625 Epoch 625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 625With loss 0.1267430099331721 epoch: 626 Epoch 626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 626With loss 0.1267430099331721 epoch: 627 Epoch 627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 627With loss 0.1267430099331721 epoch: 628 Epoch 628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 628With loss 0.1267430099331721 epoch: 629 Epoch 629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 629With loss 0.1267430099331721 epoch: 630 Epoch 630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 630With loss 0.1267430099331721 epoch: 631 Epoch 631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 631With loss 0.1267430099331721 epoch: 632 Epoch 632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 632With loss 0.1267430099331721 epoch: 633 Epoch 633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 633With loss 0.1267430099331721 epoch: 634 Epoch 634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 634With loss 0.1267430099331721 epoch: 635 Epoch 635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 635With loss 0.1267430099331721 epoch: 636 Epoch 636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 636With loss 0.1267430099331721 epoch: 637 Epoch 637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 637With loss 0.1267430099331721 epoch: 638 Epoch 638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 638With loss 0.1267430099331721 epoch: 639 Epoch 639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 639With loss 0.1267430099331721 epoch: 640 Epoch 640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 640With loss 0.1267430099331721 epoch: 641 Epoch 641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 641With loss 0.1267430099331721 epoch: 642 Epoch 642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 642With loss 0.1267430099331721 epoch: 643 Epoch 643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 643With loss 0.1267430099331721 epoch: 644 Epoch 644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 644With loss 0.1267430099331721 epoch: 645 Epoch 645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 645With loss 0.1267430099331721 epoch: 646 Epoch 646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 646With loss 0.1267430099331721 epoch: 647 Epoch 647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 647With loss 0.1267430099331721 epoch: 648 Epoch 648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 648With loss 0.1267430099331721 epoch: 649 Epoch 649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 649With loss 0.1267430099331721 epoch: 650 Epoch 650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 650With loss 0.1267430099331721 epoch: 651 Epoch 651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 651With loss 0.1267430099331721 epoch: 652 Epoch 652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 652With loss 0.1267430099331721 epoch: 653 Epoch 653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 653With loss 0.1267430099331721 epoch: 654 Epoch 654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 654With loss 0.1267430099331721 epoch: 655 Epoch 655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 655With loss 0.1267430099331721 epoch: 656 Epoch 656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 656With loss 0.1267430099331721 epoch: 657 Epoch 657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 657With loss 0.1267430099331721 epoch: 658 Epoch 658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 658With loss 0.1267430099331721 epoch: 659 Epoch 659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 659With loss 0.1267430099331721 epoch: 660 Epoch 660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 660With loss 0.1267430099331721 epoch: 661 Epoch 661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 661With loss 0.1267430099331721 epoch: 662 Epoch 662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 662With loss 0.1267430099331721 epoch: 663 Epoch 663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 663With loss 0.1267430099331721 epoch: 664 Epoch 664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 664With loss 0.1267430099331721 epoch: 665 Epoch 665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 665With loss 0.1267430099331721 epoch: 666 Epoch 666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 666With loss 0.1267430099331721 epoch: 667 Epoch 667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 667With loss 0.1267430099331721 epoch: 668 Epoch 668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 668With loss 0.1267430099331721 epoch: 669 Epoch 669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 669With loss 0.1267430099331721 epoch: 670 Epoch 670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 670With loss 0.1267430099331721 epoch: 671 Epoch 671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 671With loss 0.1267430099331721 epoch: 672 Epoch 672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 672With loss 0.1267430099331721 epoch: 673 Epoch 673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 673With loss 0.1267430099331721 epoch: 674 Epoch 674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 674With loss 0.1267430099331721 epoch: 675 Epoch 675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 675With loss 0.1267430099331721 epoch: 676 Epoch 676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 676With loss 0.1267430099331721 epoch: 677 Epoch 677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 677With loss 0.1267430099331721 epoch: 678 Epoch 678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 678With loss 0.1267430099331721 epoch: 679 Epoch 679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 679With loss 0.1267430099331721 epoch: 680 Epoch 680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 680With loss 0.1267430099331721 epoch: 681 Epoch 681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 681With loss 0.1267430099331721 epoch: 682 Epoch 682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 682With loss 0.1267430099331721 epoch: 683 Epoch 683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 683With loss 0.1267430099331721 epoch: 684 Epoch 684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 684With loss 0.1267430099331721 epoch: 685 Epoch 685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 685With loss 0.1267430099331721 epoch: 686 Epoch 686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 686With loss 0.1267430099331721 epoch: 687 Epoch 687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 687With loss 0.1267430099331721 epoch: 688 Epoch 688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 688With loss 0.1267430099331721 epoch: 689 Epoch 689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 689With loss 0.1267430099331721 epoch: 690 Epoch 690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 690With loss 0.1267430099331721 epoch: 691 Epoch 691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 691With loss 0.1267430099331721 epoch: 692 Epoch 692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 692With loss 0.1267430099331721 epoch: 693 Epoch 693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 693With loss 0.1267430099331721 epoch: 694 Epoch 694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 694With loss 0.1267430099331721 epoch: 695 Epoch 695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 695With loss 0.1267430099331721 epoch: 696 Epoch 696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 696With loss 0.1267430099331721 epoch: 697 Epoch 697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 697With loss 0.1267430099331721 epoch: 698 Epoch 698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 698With loss 0.1267430099331721 epoch: 699 Epoch 699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 699With loss 0.1267430099331721 epoch: 700 Epoch 700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 700With loss 0.1267430099331721 epoch: 701 Epoch 701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 701With loss 0.1267430099331721 epoch: 702 Epoch 702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 702With loss 0.1267430099331721 epoch: 703 Epoch 703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 703With loss 0.1267430099331721 epoch: 704 Epoch 704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 704With loss 0.1267430099331721 epoch: 705 Epoch 705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 705With loss 0.1267430099331721 epoch: 706 Epoch 706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 706With loss 0.1267430099331721 epoch: 707 Epoch 707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 707With loss 0.1267430099331721 epoch: 708 Epoch 708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 708With loss 0.1267430099331721 epoch: 709 Epoch 709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 709With loss 0.1267430099331721 epoch: 710 Epoch 710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 710With loss 0.1267430099331721 epoch: 711 Epoch 711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 711With loss 0.1267430099331721 epoch: 712 Epoch 712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 712With loss 0.1267430099331721 epoch: 713 Epoch 713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 713With loss 0.1267430099331721 epoch: 714 Epoch 714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 714With loss 0.1267430099331721 epoch: 715 Epoch 715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 715With loss 0.1267430099331721 epoch: 716 Epoch 716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 716With loss 0.1267430099331721 epoch: 717 Epoch 717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 717With loss 0.1267430099331721 epoch: 718 Epoch 718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 718With loss 0.1267430099331721 epoch: 719 Epoch 719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 719With loss 0.1267430099331721 epoch: 720 Epoch 720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 720With loss 0.1267430099331721 epoch: 721 Epoch 721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 721With loss 0.1267430099331721 epoch: 722 Epoch 722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 722With loss 0.1267430099331721 epoch: 723 Epoch 723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 723With loss 0.1267430099331721 epoch: 724 Epoch 724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 724With loss 0.1267430099331721 epoch: 725 Epoch 725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 725With loss 0.1267430099331721 epoch: 726 Epoch 726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 726With loss 0.1267430099331721 epoch: 727 Epoch 727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 727With loss 0.1267430099331721 epoch: 728 Epoch 728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 728With loss 0.1267430099331721 epoch: 729 Epoch 729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 729With loss 0.1267430099331721 epoch: 730 Epoch 730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 730With loss 0.1267430099331721 epoch: 731 Epoch 731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 731With loss 0.1267430099331721 epoch: 732 Epoch 732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 732With loss 0.1267430099331721 epoch: 733 Epoch 733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 733With loss 0.1267430099331721 epoch: 734 Epoch 734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 734With loss 0.1267430099331721 epoch: 735 Epoch 735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 735With loss 0.1267430099331721 epoch: 736 Epoch 736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 736With loss 0.1267430099331721 epoch: 737 Epoch 737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 737With loss 0.1267430099331721 epoch: 738 Epoch 738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 738With loss 0.1267430099331721 epoch: 739 Epoch 739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 739With loss 0.1267430099331721 epoch: 740 Epoch 740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 740With loss 0.1267430099331721 epoch: 741 Epoch 741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 741With loss 0.1267430099331721 epoch: 742 Epoch 742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 742With loss 0.1267430099331721 epoch: 743 Epoch 743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 743With loss 0.1267430099331721 epoch: 744 Epoch 744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 744With loss 0.1267430099331721 epoch: 745 Epoch 745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 745With loss 0.1267430099331721 epoch: 746 Epoch 746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 746With loss 0.1267430099331721 epoch: 747 Epoch 747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 747With loss 0.1267430099331721 epoch: 748 Epoch 748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 748With loss 0.1267430099331721 epoch: 749 Epoch 749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 749With loss 0.1267430099331721 epoch: 750 Epoch 750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 750With loss 0.1267430099331721 epoch: 751 Epoch 751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 751With loss 0.1267430099331721 epoch: 752 Epoch 752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 752With loss 0.1267430099331721 epoch: 753 Epoch 753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 753With loss 0.1267430099331721 epoch: 754 Epoch 754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 754With loss 0.1267430099331721 epoch: 755 Epoch 755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 755With loss 0.1267430099331721 epoch: 756 Epoch 756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 756With loss 0.1267430099331721 epoch: 757 Epoch 757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 757With loss 0.1267430099331721 epoch: 758 Epoch 758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 758With loss 0.1267430099331721 epoch: 759 Epoch 759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 759With loss 0.1267430099331721 epoch: 760 Epoch 760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 760With loss 0.1267430099331721 epoch: 761 Epoch 761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 761With loss 0.1267430099331721 epoch: 762 Epoch 762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 762With loss 0.1267430099331721 epoch: 763 Epoch 763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 763With loss 0.1267430099331721 epoch: 764 Epoch 764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 764With loss 0.1267430099331721 epoch: 765 Epoch 765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 765With loss 0.1267430099331721 epoch: 766 Epoch 766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 766With loss 0.1267430099331721 epoch: 767 Epoch 767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 767With loss 0.1267430099331721 epoch: 768 Epoch 768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 768With loss 0.1267430099331721 epoch: 769 Epoch 769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 769With loss 0.1267430099331721 epoch: 770 Epoch 770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 770With loss 0.1267430099331721 epoch: 771 Epoch 771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 771With loss 0.1267430099331721 epoch: 772 Epoch 772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 772With loss 0.1267430099331721 epoch: 773 Epoch 773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 773With loss 0.1267430099331721 epoch: 774 Epoch 774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 774With loss 0.1267430099331721 epoch: 775 Epoch 775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 775With loss 0.1267430099331721 epoch: 776 Epoch 776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 776With loss 0.1267430099331721 epoch: 777 Epoch 777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 777With loss 0.1267430099331721 epoch: 778 Epoch 778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 778With loss 0.1267430099331721 epoch: 779 Epoch 779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 779With loss 0.1267430099331721 epoch: 780 Epoch 780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 780With loss 0.1267430099331721 epoch: 781 Epoch 781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 781With loss 0.1267430099331721 epoch: 782 Epoch 782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 782With loss 0.1267430099331721 epoch: 783 Epoch 783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 783With loss 0.1267430099331721 epoch: 784 Epoch 784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 784With loss 0.1267430099331721 epoch: 785 Epoch 785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 785With loss 0.1267430099331721 epoch: 786 Epoch 786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 786With loss 0.1267430099331721 epoch: 787 Epoch 787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 787With loss 0.1267430099331721 epoch: 788 Epoch 788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 788With loss 0.1267430099331721 epoch: 789 Epoch 789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 789With loss 0.1267430099331721 epoch: 790 Epoch 790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 790With loss 0.1267430099331721 epoch: 791 Epoch 791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 791With loss 0.1267430099331721 epoch: 792 Epoch 792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 792With loss 0.1267430099331721 epoch: 793 Epoch 793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 793With loss 0.1267430099331721 epoch: 794 Epoch 794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 794With loss 0.1267430099331721 epoch: 795 Epoch 795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 795With loss 0.1267430099331721 epoch: 796 Epoch 796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 796With loss 0.1267430099331721 epoch: 797 Epoch 797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 797With loss 0.1267430099331721 epoch: 798 Epoch 798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 798With loss 0.1267430099331721 epoch: 799 Epoch 799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 799With loss 0.1267430099331721 epoch: 800 Epoch 800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 800With loss 0.1267430099331721 epoch: 801 Epoch 801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 801With loss 0.1267430099331721 epoch: 802 Epoch 802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 802With loss 0.1267430099331721 epoch: 803 Epoch 803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 803With loss 0.1267430099331721 epoch: 804 Epoch 804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 804With loss 0.1267430099331721 epoch: 805 Epoch 805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 805With loss 0.1267430099331721 epoch: 806 Epoch 806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 806With loss 0.1267430099331721 epoch: 807 Epoch 807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 807With loss 0.1267430099331721 epoch: 808 Epoch 808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 808With loss 0.1267430099331721 epoch: 809 Epoch 809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 809With loss 0.1267430099331721 epoch: 810 Epoch 810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 810With loss 0.1267430099331721 epoch: 811 Epoch 811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 811With loss 0.1267430099331721 epoch: 812 Epoch 812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 812With loss 0.1267430099331721 epoch: 813 Epoch 813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 813With loss 0.1267430099331721 epoch: 814 Epoch 814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 814With loss 0.1267430099331721 epoch: 815 Epoch 815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 815With loss 0.1267430099331721 epoch: 816 Epoch 816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 816With loss 0.1267430099331721 epoch: 817 Epoch 817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 817With loss 0.1267430099331721 epoch: 818 Epoch 818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 818With loss 0.1267430099331721 epoch: 819 Epoch 819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 819With loss 0.1267430099331721 epoch: 820 Epoch 820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 820With loss 0.1267430099331721 epoch: 821 Epoch 821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 821With loss 0.1267430099331721 epoch: 822 Epoch 822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 822With loss 0.1267430099331721 epoch: 823 Epoch 823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 823With loss 0.1267430099331721 epoch: 824 Epoch 824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 824With loss 0.1267430099331721 epoch: 825 Epoch 825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 825With loss 0.1267430099331721 epoch: 826 Epoch 826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 826With loss 0.1267430099331721 epoch: 827 Epoch 827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 827With loss 0.1267430099331721 epoch: 828 Epoch 828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 828With loss 0.1267430099331721 epoch: 829 Epoch 829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 829With loss 0.1267430099331721 epoch: 830 Epoch 830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 830With loss 0.1267430099331721 epoch: 831 Epoch 831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 831With loss 0.1267430099331721 epoch: 832 Epoch 832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 832With loss 0.1267430099331721 epoch: 833 Epoch 833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 833With loss 0.1267430099331721 epoch: 834 Epoch 834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 834With loss 0.1267430099331721 epoch: 835 Epoch 835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 835With loss 0.1267430099331721 epoch: 836 Epoch 836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 836With loss 0.1267430099331721 epoch: 837 Epoch 837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 837With loss 0.1267430099331721 epoch: 838 Epoch 838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 838With loss 0.1267430099331721 epoch: 839 Epoch 839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 839With loss 0.1267430099331721 epoch: 840 Epoch 840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 840With loss 0.1267430099331721 epoch: 841 Epoch 841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 841With loss 0.1267430099331721 epoch: 842 Epoch 842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 842With loss 0.1267430099331721 epoch: 843 Epoch 843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 843With loss 0.1267430099331721 epoch: 844 Epoch 844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 844With loss 0.1267430099331721 epoch: 845 Epoch 845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 845With loss 0.1267430099331721 epoch: 846 Epoch 846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 846With loss 0.1267430099331721 epoch: 847 Epoch 847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 847With loss 0.1267430099331721 epoch: 848 Epoch 848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 848With loss 0.1267430099331721 epoch: 849 Epoch 849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 849With loss 0.1267430099331721 epoch: 850 Epoch 850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 850With loss 0.1267430099331721 epoch: 851 Epoch 851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 851With loss 0.1267430099331721 epoch: 852 Epoch 852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 852With loss 0.1267430099331721 epoch: 853 Epoch 853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 853With loss 0.1267430099331721 epoch: 854 Epoch 854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 854With loss 0.1267430099331721 epoch: 855 Epoch 855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 855With loss 0.1267430099331721 epoch: 856 Epoch 856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 856With loss 0.1267430099331721 epoch: 857 Epoch 857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 857With loss 0.1267430099331721 epoch: 858 Epoch 858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 858With loss 0.1267430099331721 epoch: 859 Epoch 859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 859With loss 0.1267430099331721 epoch: 860 Epoch 860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 860With loss 0.1267430099331721 epoch: 861 Epoch 861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 861With loss 0.1267430099331721 epoch: 862 Epoch 862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 862With loss 0.1267430099331721 epoch: 863 Epoch 863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 863With loss 0.1267430099331721 epoch: 864 Epoch 864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 864With loss 0.1267430099331721 epoch: 865 Epoch 865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 865With loss 0.1267430099331721 epoch: 866 Epoch 866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 866With loss 0.1267430099331721 epoch: 867 Epoch 867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 867With loss 0.1267430099331721 epoch: 868 Epoch 868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 868With loss 0.1267430099331721 epoch: 869 Epoch 869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 869With loss 0.1267430099331721 epoch: 870 Epoch 870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 870With loss 0.1267430099331721 epoch: 871 Epoch 871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 871With loss 0.1267430099331721 epoch: 872 Epoch 872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 872With loss 0.1267430099331721 epoch: 873 Epoch 873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 873With loss 0.1267430099331721 epoch: 874 Epoch 874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 874With loss 0.1267430099331721 epoch: 875 Epoch 875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 875With loss 0.1267430099331721 epoch: 876 Epoch 876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 876With loss 0.1267430099331721 epoch: 877 Epoch 877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 877With loss 0.1267430099331721 epoch: 878 Epoch 878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 878With loss 0.1267430099331721 epoch: 879 Epoch 879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 879With loss 0.1267430099331721 epoch: 880 Epoch 880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 880With loss 0.1267430099331721 epoch: 881 Epoch 881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 881With loss 0.1267430099331721 epoch: 882 Epoch 882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 882With loss 0.1267430099331721 epoch: 883 Epoch 883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 883With loss 0.1267430099331721 epoch: 884 Epoch 884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 884With loss 0.1267430099331721 epoch: 885 Epoch 885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 885With loss 0.1267430099331721 epoch: 886 Epoch 886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 886With loss 0.1267430099331721 epoch: 887 Epoch 887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 887With loss 0.1267430099331721 epoch: 888 Epoch 888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 888With loss 0.1267430099331721 epoch: 889 Epoch 889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 889With loss 0.1267430099331721 epoch: 890 Epoch 890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 890With loss 0.1267430099331721 epoch: 891 Epoch 891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 891With loss 0.1267430099331721 epoch: 892 Epoch 892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 892With loss 0.1267430099331721 epoch: 893 Epoch 893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 893With loss 0.1267430099331721 epoch: 894 Epoch 894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 894With loss 0.1267430099331721 epoch: 895 Epoch 895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 895With loss 0.1267430099331721 epoch: 896 Epoch 896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 896With loss 0.1267430099331721 epoch: 897 Epoch 897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 897With loss 0.1267430099331721 epoch: 898 Epoch 898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 898With loss 0.1267430099331721 epoch: 899 Epoch 899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 899With loss 0.1267430099331721 epoch: 900 Epoch 900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 900With loss 0.1267430099331721 epoch: 901 Epoch 901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 901With loss 0.1267430099331721 epoch: 902 Epoch 902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 902With loss 0.1267430099331721 epoch: 903 Epoch 903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 903With loss 0.1267430099331721 epoch: 904 Epoch 904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 904With loss 0.1267430099331721 epoch: 905 Epoch 905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 905With loss 0.1267430099331721 epoch: 906 Epoch 906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 906With loss 0.1267430099331721 epoch: 907 Epoch 907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 907With loss 0.1267430099331721 epoch: 908 Epoch 908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 908With loss 0.1267430099331721 epoch: 909 Epoch 909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 909With loss 0.1267430099331721 epoch: 910 Epoch 910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 910With loss 0.1267430099331721 epoch: 911 Epoch 911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 911With loss 0.1267430099331721 epoch: 912 Epoch 912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 912With loss 0.1267430099331721 epoch: 913 Epoch 913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 913With loss 0.1267430099331721 epoch: 914 Epoch 914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 914With loss 0.1267430099331721 epoch: 915 Epoch 915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 915With loss 0.1267430099331721 epoch: 916 Epoch 916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 916With loss 0.1267430099331721 epoch: 917 Epoch 917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 917With loss 0.1267430099331721 epoch: 918 Epoch 918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 918With loss 0.1267430099331721 epoch: 919 Epoch 919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 919With loss 0.1267430099331721 epoch: 920 Epoch 920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 920With loss 0.1267430099331721 epoch: 921 Epoch 921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 921With loss 0.1267430099331721 epoch: 922 Epoch 922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 922With loss 0.1267430099331721 epoch: 923 Epoch 923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 923With loss 0.1267430099331721 epoch: 924 Epoch 924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 924With loss 0.1267430099331721 epoch: 925 Epoch 925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 925With loss 0.1267430099331721 epoch: 926 Epoch 926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 926With loss 0.1267430099331721 epoch: 927 Epoch 927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 927With loss 0.1267430099331721 epoch: 928 Epoch 928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 928With loss 0.1267430099331721 epoch: 929 Epoch 929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 929With loss 0.1267430099331721 epoch: 930 Epoch 930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 930With loss 0.1267430099331721 epoch: 931 Epoch 931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 931With loss 0.1267430099331721 epoch: 932 Epoch 932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 932With loss 0.1267430099331721 epoch: 933 Epoch 933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 933With loss 0.1267430099331721 epoch: 934 Epoch 934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 934With loss 0.1267430099331721 epoch: 935 Epoch 935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 935With loss 0.1267430099331721 epoch: 936 Epoch 936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 936With loss 0.1267430099331721 epoch: 937 Epoch 937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 937With loss 0.1267430099331721 epoch: 938 Epoch 938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 938With loss 0.1267430099331721 epoch: 939 Epoch 939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 939With loss 0.1267430099331721 epoch: 940 Epoch 940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 940With loss 0.1267430099331721 epoch: 941 Epoch 941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 941With loss 0.1267430099331721 epoch: 942 Epoch 942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 942With loss 0.1267430099331721 epoch: 943 Epoch 943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 943With loss 0.1267430099331721 epoch: 944 Epoch 944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 944With loss 0.1267430099331721 epoch: 945 Epoch 945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 945With loss 0.1267430099331721 epoch: 946 Epoch 946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 946With loss 0.1267430099331721 epoch: 947 Epoch 947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 947With loss 0.1267430099331721 epoch: 948 Epoch 948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 948With loss 0.1267430099331721 epoch: 949 Epoch 949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 949With loss 0.1267430099331721 epoch: 950 Epoch 950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 950With loss 0.1267430099331721 epoch: 951 Epoch 951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 951With loss 0.1267430099331721 epoch: 952 Epoch 952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 952With loss 0.1267430099331721 epoch: 953 Epoch 953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 953With loss 0.1267430099331721 epoch: 954 Epoch 954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 954With loss 0.1267430099331721 epoch: 955 Epoch 955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 955With loss 0.1267430099331721 epoch: 956 Epoch 956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 956With loss 0.1267430099331721 epoch: 957 Epoch 957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 957With loss 0.1267430099331721 epoch: 958 Epoch 958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 958With loss 0.1267430099331721 epoch: 959 Epoch 959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 959With loss 0.1267430099331721 epoch: 960 Epoch 960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 960With loss 0.1267430099331721 epoch: 961 Epoch 961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 961With loss 0.1267430099331721 epoch: 962 Epoch 962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 962With loss 0.1267430099331721 epoch: 963 Epoch 963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 963With loss 0.1267430099331721 epoch: 964 Epoch 964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 964With loss 0.1267430099331721 epoch: 965 Epoch 965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 965With loss 0.1267430099331721 epoch: 966 Epoch 966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 966With loss 0.1267430099331721 epoch: 967 Epoch 967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 967With loss 0.1267430099331721 epoch: 968 Epoch 968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 968With loss 0.1267430099331721 epoch: 969 Epoch 969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 969With loss 0.1267430099331721 epoch: 970 Epoch 970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 970With loss 0.1267430099331721 epoch: 971 Epoch 971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 971With loss 0.1267430099331721 epoch: 972 Epoch 972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 972With loss 0.1267430099331721 epoch: 973 Epoch 973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 973With loss 0.1267430099331721 epoch: 974 Epoch 974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 974With loss 0.1267430099331721 epoch: 975 Epoch 975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 975With loss 0.1267430099331721 epoch: 976 Epoch 976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 976With loss 0.1267430099331721 epoch: 977 Epoch 977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 977With loss 0.1267430099331721 epoch: 978 Epoch 978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 978With loss 0.1267430099331721 epoch: 979 Epoch 979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 979With loss 0.1267430099331721 epoch: 980 Epoch 980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 980With loss 0.1267430099331721 epoch: 981 Epoch 981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 981With loss 0.1267430099331721 epoch: 982 Epoch 982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 982With loss 0.1267430099331721 epoch: 983 Epoch 983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 983With loss 0.1267430099331721 epoch: 984 Epoch 984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 984With loss 0.1267430099331721 epoch: 985 Epoch 985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 985With loss 0.1267430099331721 epoch: 986 Epoch 986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 986With loss 0.1267430099331721 epoch: 987 Epoch 987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 987With loss 0.1267430099331721 epoch: 988 Epoch 988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 988With loss 0.1267430099331721 epoch: 989 Epoch 989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 989With loss 0.1267430099331721 epoch: 990 Epoch 990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 990With loss 0.1267430099331721 epoch: 991 Epoch 991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 991With loss 0.1267430099331721 epoch: 992 Epoch 992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 992With loss 0.1267430099331721 epoch: 993 Epoch 993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 993With loss 0.1267430099331721 epoch: 994 Epoch 994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 994With loss 0.1267430099331721 epoch: 995 Epoch 995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 995With loss 0.1267430099331721 epoch: 996 Epoch 996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 996With loss 0.1267430099331721 epoch: 997 Epoch 997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 997With loss 0.1267430099331721 epoch: 998 Epoch 998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 998With loss 0.1267430099331721 epoch: 999 Epoch 999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 999With loss 0.1267430099331721 epoch: 1000 Epoch 1000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1000With loss 0.1267430099331721 epoch: 1001 Epoch 1001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1001With loss 0.1267430099331721 epoch: 1002 Epoch 1002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1002With loss 0.1267430099331721 epoch: 1003 Epoch 1003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1003With loss 0.1267430099331721 epoch: 1004 Epoch 1004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1004With loss 0.1267430099331721 epoch: 1005 Epoch 1005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1005With loss 0.1267430099331721 epoch: 1006 Epoch 1006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1006With loss 0.1267430099331721 epoch: 1007 Epoch 1007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1007With loss 0.1267430099331721 epoch: 1008 Epoch 1008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1008With loss 0.1267430099331721 epoch: 1009 Epoch 1009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1009With loss 0.1267430099331721 epoch: 1010 Epoch 1010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1010With loss 0.1267430099331721 epoch: 1011 Epoch 1011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1011With loss 0.1267430099331721 epoch: 1012 Epoch 1012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1012With loss 0.1267430099331721 epoch: 1013 Epoch 1013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1013With loss 0.1267430099331721 epoch: 1014 Epoch 1014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1014With loss 0.1267430099331721 epoch: 1015 Epoch 1015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1015With loss 0.1267430099331721 epoch: 1016 Epoch 1016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1016With loss 0.1267430099331721 epoch: 1017 Epoch 1017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1017With loss 0.1267430099331721 epoch: 1018 Epoch 1018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1018With loss 0.1267430099331721 epoch: 1019 Epoch 1019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1019With loss 0.1267430099331721 epoch: 1020 Epoch 1020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1020With loss 0.1267430099331721 epoch: 1021 Epoch 1021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1021With loss 0.1267430099331721 epoch: 1022 Epoch 1022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1022With loss 0.1267430099331721 epoch: 1023 Epoch 1023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1023With loss 0.1267430099331721 epoch: 1024 Epoch 1024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1024With loss 0.1267430099331721 epoch: 1025 Epoch 1025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1025With loss 0.1267430099331721 epoch: 1026 Epoch 1026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1026With loss 0.1267430099331721 epoch: 1027 Epoch 1027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1027With loss 0.1267430099331721 epoch: 1028 Epoch 1028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1028With loss 0.1267430099331721 epoch: 1029 Epoch 1029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1029With loss 0.1267430099331721 epoch: 1030 Epoch 1030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1030With loss 0.1267430099331721 epoch: 1031 Epoch 1031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1031With loss 0.1267430099331721 epoch: 1032 Epoch 1032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1032With loss 0.1267430099331721 epoch: 1033 Epoch 1033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1033With loss 0.1267430099331721 epoch: 1034 Epoch 1034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1034With loss 0.1267430099331721 epoch: 1035 Epoch 1035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1035With loss 0.1267430099331721 epoch: 1036 Epoch 1036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1036With loss 0.1267430099331721 epoch: 1037 Epoch 1037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1037With loss 0.1267430099331721 epoch: 1038 Epoch 1038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1038With loss 0.1267430099331721 epoch: 1039 Epoch 1039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1039With loss 0.1267430099331721 epoch: 1040 Epoch 1040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1040With loss 0.1267430099331721 epoch: 1041 Epoch 1041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1041With loss 0.1267430099331721 epoch: 1042 Epoch 1042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1042With loss 0.1267430099331721 epoch: 1043 Epoch 1043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1043With loss 0.1267430099331721 epoch: 1044 Epoch 1044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1044With loss 0.1267430099331721 epoch: 1045 Epoch 1045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1045With loss 0.1267430099331721 epoch: 1046 Epoch 1046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1046With loss 0.1267430099331721 epoch: 1047 Epoch 1047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1047With loss 0.1267430099331721 epoch: 1048 Epoch 1048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1048With loss 0.1267430099331721 epoch: 1049 Epoch 1049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1049With loss 0.1267430099331721 epoch: 1050 Epoch 1050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1050With loss 0.1267430099331721 epoch: 1051 Epoch 1051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1051With loss 0.1267430099331721 epoch: 1052 Epoch 1052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1052With loss 0.1267430099331721 epoch: 1053 Epoch 1053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1053With loss 0.1267430099331721 epoch: 1054 Epoch 1054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1054With loss 0.1267430099331721 epoch: 1055 Epoch 1055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1055With loss 0.1267430099331721 epoch: 1056 Epoch 1056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1056With loss 0.1267430099331721 epoch: 1057 Epoch 1057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1057With loss 0.1267430099331721 epoch: 1058 Epoch 1058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1058With loss 0.1267430099331721 epoch: 1059 Epoch 1059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1059With loss 0.1267430099331721 epoch: 1060 Epoch 1060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1060With loss 0.1267430099331721 epoch: 1061 Epoch 1061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1061With loss 0.1267430099331721 epoch: 1062 Epoch 1062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1062With loss 0.1267430099331721 epoch: 1063 Epoch 1063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1063With loss 0.1267430099331721 epoch: 1064 Epoch 1064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1064With loss 0.1267430099331721 epoch: 1065 Epoch 1065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1065With loss 0.1267430099331721 epoch: 1066 Epoch 1066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1066With loss 0.1267430099331721 epoch: 1067 Epoch 1067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1067With loss 0.1267430099331721 epoch: 1068 Epoch 1068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1068With loss 0.1267430099331721 epoch: 1069 Epoch 1069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1069With loss 0.1267430099331721 epoch: 1070 Epoch 1070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1070With loss 0.1267430099331721 epoch: 1071 Epoch 1071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1071With loss 0.1267430099331721 epoch: 1072 Epoch 1072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1072With loss 0.1267430099331721 epoch: 1073 Epoch 1073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1073With loss 0.1267430099331721 epoch: 1074 Epoch 1074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1074With loss 0.1267430099331721 epoch: 1075 Epoch 1075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1075With loss 0.1267430099331721 epoch: 1076 Epoch 1076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1076With loss 0.1267430099331721 epoch: 1077 Epoch 1077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1077With loss 0.1267430099331721 epoch: 1078 Epoch 1078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1078With loss 0.1267430099331721 epoch: 1079 Epoch 1079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1079With loss 0.1267430099331721 epoch: 1080 Epoch 1080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1080With loss 0.1267430099331721 epoch: 1081 Epoch 1081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1081With loss 0.1267430099331721 epoch: 1082 Epoch 1082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1082With loss 0.1267430099331721 epoch: 1083 Epoch 1083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1083With loss 0.1267430099331721 epoch: 1084 Epoch 1084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1084With loss 0.1267430099331721 epoch: 1085 Epoch 1085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1085With loss 0.1267430099331721 epoch: 1086 Epoch 1086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1086With loss 0.1267430099331721 epoch: 1087 Epoch 1087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1087With loss 0.1267430099331721 epoch: 1088 Epoch 1088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1088With loss 0.1267430099331721 epoch: 1089 Epoch 1089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1089With loss 0.1267430099331721 epoch: 1090 Epoch 1090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1090With loss 0.1267430099331721 epoch: 1091 Epoch 1091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1091With loss 0.1267430099331721 epoch: 1092 Epoch 1092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1092With loss 0.1267430099331721 epoch: 1093 Epoch 1093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1093With loss 0.1267430099331721 epoch: 1094 Epoch 1094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1094With loss 0.1267430099331721 epoch: 1095 Epoch 1095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1095With loss 0.1267430099331721 epoch: 1096 Epoch 1096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1096With loss 0.1267430099331721 epoch: 1097 Epoch 1097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1097With loss 0.1267430099331721 epoch: 1098 Epoch 1098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1098With loss 0.1267430099331721 epoch: 1099 Epoch 1099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1099With loss 0.1267430099331721 epoch: 1100 Epoch 1100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1100With loss 0.1267430099331721 epoch: 1101 Epoch 1101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1101With loss 0.1267430099331721 epoch: 1102 Epoch 1102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1102With loss 0.1267430099331721 epoch: 1103 Epoch 1103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1103With loss 0.1267430099331721 epoch: 1104 Epoch 1104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1104With loss 0.1267430099331721 epoch: 1105 Epoch 1105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1105With loss 0.1267430099331721 epoch: 1106 Epoch 1106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1106With loss 0.1267430099331721 epoch: 1107 Epoch 1107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1107With loss 0.1267430099331721 epoch: 1108 Epoch 1108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1108With loss 0.1267430099331721 epoch: 1109 Epoch 1109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1109With loss 0.1267430099331721 epoch: 1110 Epoch 1110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1110With loss 0.1267430099331721 epoch: 1111 Epoch 1111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1111With loss 0.1267430099331721 epoch: 1112 Epoch 1112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1112With loss 0.1267430099331721 epoch: 1113 Epoch 1113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1113With loss 0.1267430099331721 epoch: 1114 Epoch 1114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1114With loss 0.1267430099331721 epoch: 1115 Epoch 1115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1115With loss 0.1267430099331721 epoch: 1116 Epoch 1116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1116With loss 0.1267430099331721 epoch: 1117 Epoch 1117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1117With loss 0.1267430099331721 epoch: 1118 Epoch 1118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1118With loss 0.1267430099331721 epoch: 1119 Epoch 1119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1119With loss 0.1267430099331721 epoch: 1120 Epoch 1120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1120With loss 0.1267430099331721 epoch: 1121 Epoch 1121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1121With loss 0.1267430099331721 epoch: 1122 Epoch 1122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1122With loss 0.1267430099331721 epoch: 1123 Epoch 1123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1123With loss 0.1267430099331721 epoch: 1124 Epoch 1124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1124With loss 0.1267430099331721 epoch: 1125 Epoch 1125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1125With loss 0.1267430099331721 epoch: 1126 Epoch 1126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1126With loss 0.1267430099331721 epoch: 1127 Epoch 1127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1127With loss 0.1267430099331721 epoch: 1128 Epoch 1128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1128With loss 0.1267430099331721 epoch: 1129 Epoch 1129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1129With loss 0.1267430099331721 epoch: 1130 Epoch 1130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1130With loss 0.1267430099331721 epoch: 1131 Epoch 1131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1131With loss 0.1267430099331721 epoch: 1132 Epoch 1132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1132With loss 0.1267430099331721 epoch: 1133 Epoch 1133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1133With loss 0.1267430099331721 epoch: 1134 Epoch 1134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1134With loss 0.1267430099331721 epoch: 1135 Epoch 1135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1135With loss 0.1267430099331721 epoch: 1136 Epoch 1136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1136With loss 0.1267430099331721 epoch: 1137 Epoch 1137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1137With loss 0.1267430099331721 epoch: 1138 Epoch 1138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1138With loss 0.1267430099331721 epoch: 1139 Epoch 1139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1139With loss 0.1267430099331721 epoch: 1140 Epoch 1140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1140With loss 0.1267430099331721 epoch: 1141 Epoch 1141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1141With loss 0.1267430099331721 epoch: 1142 Epoch 1142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1142With loss 0.1267430099331721 epoch: 1143 Epoch 1143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1143With loss 0.1267430099331721 epoch: 1144 Epoch 1144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1144With loss 0.1267430099331721 epoch: 1145 Epoch 1145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1145With loss 0.1267430099331721 epoch: 1146 Epoch 1146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1146With loss 0.1267430099331721 epoch: 1147 Epoch 1147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1147With loss 0.1267430099331721 epoch: 1148 Epoch 1148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1148With loss 0.1267430099331721 epoch: 1149 Epoch 1149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1149With loss 0.1267430099331721 epoch: 1150 Epoch 1150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1150With loss 0.1267430099331721 epoch: 1151 Epoch 1151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1151With loss 0.1267430099331721 epoch: 1152 Epoch 1152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1152With loss 0.1267430099331721 epoch: 1153 Epoch 1153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1153With loss 0.1267430099331721 epoch: 1154 Epoch 1154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1154With loss 0.1267430099331721 epoch: 1155 Epoch 1155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1155With loss 0.1267430099331721 epoch: 1156 Epoch 1156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1156With loss 0.1267430099331721 epoch: 1157 Epoch 1157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1157With loss 0.1267430099331721 epoch: 1158 Epoch 1158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1158With loss 0.1267430099331721 epoch: 1159 Epoch 1159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1159With loss 0.1267430099331721 epoch: 1160 Epoch 1160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1160With loss 0.1267430099331721 epoch: 1161 Epoch 1161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1161With loss 0.1267430099331721 epoch: 1162 Epoch 1162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1162With loss 0.1267430099331721 epoch: 1163 Epoch 1163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1163With loss 0.1267430099331721 epoch: 1164 Epoch 1164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1164With loss 0.1267430099331721 epoch: 1165 Epoch 1165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1165With loss 0.1267430099331721 epoch: 1166 Epoch 1166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1166With loss 0.1267430099331721 epoch: 1167 Epoch 1167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1167With loss 0.1267430099331721 epoch: 1168 Epoch 1168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1168With loss 0.1267430099331721 epoch: 1169 Epoch 1169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1169With loss 0.1267430099331721 epoch: 1170 Epoch 1170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1170With loss 0.1267430099331721 epoch: 1171 Epoch 1171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1171With loss 0.1267430099331721 epoch: 1172 Epoch 1172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1172With loss 0.1267430099331721 epoch: 1173 Epoch 1173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1173With loss 0.1267430099331721 epoch: 1174 Epoch 1174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1174With loss 0.1267430099331721 epoch: 1175 Epoch 1175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1175With loss 0.1267430099331721 epoch: 1176 Epoch 1176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1176With loss 0.1267430099331721 epoch: 1177 Epoch 1177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1177With loss 0.1267430099331721 epoch: 1178 Epoch 1178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1178With loss 0.1267430099331721 epoch: 1179 Epoch 1179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1179With loss 0.1267430099331721 epoch: 1180 Epoch 1180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1180With loss 0.1267430099331721 epoch: 1181 Epoch 1181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1181With loss 0.1267430099331721 epoch: 1182 Epoch 1182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1182With loss 0.1267430099331721 epoch: 1183 Epoch 1183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1183With loss 0.1267430099331721 epoch: 1184 Epoch 1184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1184With loss 0.1267430099331721 epoch: 1185 Epoch 1185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1185With loss 0.1267430099331721 epoch: 1186 Epoch 1186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1186With loss 0.1267430099331721 epoch: 1187 Epoch 1187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1187With loss 0.1267430099331721 epoch: 1188 Epoch 1188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1188With loss 0.1267430099331721 epoch: 1189 Epoch 1189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1189With loss 0.1267430099331721 epoch: 1190 Epoch 1190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1190With loss 0.1267430099331721 epoch: 1191 Epoch 1191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1191With loss 0.1267430099331721 epoch: 1192 Epoch 1192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1192With loss 0.1267430099331721 epoch: 1193 Epoch 1193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1193With loss 0.1267430099331721 epoch: 1194 Epoch 1194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1194With loss 0.1267430099331721 epoch: 1195 Epoch 1195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1195With loss 0.1267430099331721 epoch: 1196 Epoch 1196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1196With loss 0.1267430099331721 epoch: 1197 Epoch 1197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1197With loss 0.1267430099331721 epoch: 1198 Epoch 1198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1198With loss 0.1267430099331721 epoch: 1199 Epoch 1199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1199With loss 0.1267430099331721 epoch: 1200 Epoch 1200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1200With loss 0.1267430099331721 epoch: 1201 Epoch 1201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1201With loss 0.1267430099331721 epoch: 1202 Epoch 1202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1202With loss 0.1267430099331721 epoch: 1203 Epoch 1203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1203With loss 0.1267430099331721 epoch: 1204 Epoch 1204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1204With loss 0.1267430099331721 epoch: 1205 Epoch 1205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1205With loss 0.1267430099331721 epoch: 1206 Epoch 1206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1206With loss 0.1267430099331721 epoch: 1207 Epoch 1207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1207With loss 0.1267430099331721 epoch: 1208 Epoch 1208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1208With loss 0.1267430099331721 epoch: 1209 Epoch 1209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1209With loss 0.1267430099331721 epoch: 1210 Epoch 1210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1210With loss 0.1267430099331721 epoch: 1211 Epoch 1211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1211With loss 0.1267430099331721 epoch: 1212 Epoch 1212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1212With loss 0.1267430099331721 epoch: 1213 Epoch 1213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1213With loss 0.1267430099331721 epoch: 1214 Epoch 1214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1214With loss 0.1267430099331721 epoch: 1215 Epoch 1215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1215With loss 0.1267430099331721 epoch: 1216 Epoch 1216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1216With loss 0.1267430099331721 epoch: 1217 Epoch 1217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1217With loss 0.1267430099331721 epoch: 1218 Epoch 1218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1218With loss 0.1267430099331721 epoch: 1219 Epoch 1219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1219With loss 0.1267430099331721 epoch: 1220 Epoch 1220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1220With loss 0.1267430099331721 epoch: 1221 Epoch 1221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1221With loss 0.1267430099331721 epoch: 1222 Epoch 1222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1222With loss 0.1267430099331721 epoch: 1223 Epoch 1223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1223With loss 0.1267430099331721 epoch: 1224 Epoch 1224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1224With loss 0.1267430099331721 epoch: 1225 Epoch 1225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1225With loss 0.1267430099331721 epoch: 1226 Epoch 1226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1226With loss 0.1267430099331721 epoch: 1227 Epoch 1227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1227With loss 0.1267430099331721 epoch: 1228 Epoch 1228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1228With loss 0.1267430099331721 epoch: 1229 Epoch 1229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1229With loss 0.1267430099331721 epoch: 1230 Epoch 1230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1230With loss 0.1267430099331721 epoch: 1231 Epoch 1231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1231With loss 0.1267430099331721 epoch: 1232 Epoch 1232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1232With loss 0.1267430099331721 epoch: 1233 Epoch 1233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1233With loss 0.1267430099331721 epoch: 1234 Epoch 1234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1234With loss 0.1267430099331721 epoch: 1235 Epoch 1235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1235With loss 0.1267430099331721 epoch: 1236 Epoch 1236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1236With loss 0.1267430099331721 epoch: 1237 Epoch 1237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1237With loss 0.1267430099331721 epoch: 1238 Epoch 1238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1238With loss 0.1267430099331721 epoch: 1239 Epoch 1239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1239With loss 0.1267430099331721 epoch: 1240 Epoch 1240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1240With loss 0.1267430099331721 epoch: 1241 Epoch 1241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1241With loss 0.1267430099331721 epoch: 1242 Epoch 1242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1242With loss 0.1267430099331721 epoch: 1243 Epoch 1243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1243With loss 0.1267430099331721 epoch: 1244 Epoch 1244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1244With loss 0.1267430099331721 epoch: 1245 Epoch 1245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1245With loss 0.1267430099331721 epoch: 1246 Epoch 1246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1246With loss 0.1267430099331721 epoch: 1247 Epoch 1247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1247With loss 0.1267430099331721 epoch: 1248 Epoch 1248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1248With loss 0.1267430099331721 epoch: 1249 Epoch 1249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1249With loss 0.1267430099331721 epoch: 1250 Epoch 1250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1250With loss 0.1267430099331721 epoch: 1251 Epoch 1251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1251With loss 0.1267430099331721 epoch: 1252 Epoch 1252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1252With loss 0.1267430099331721 epoch: 1253 Epoch 1253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1253With loss 0.1267430099331721 epoch: 1254 Epoch 1254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1254With loss 0.1267430099331721 epoch: 1255 Epoch 1255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1255With loss 0.1267430099331721 epoch: 1256 Epoch 1256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1256With loss 0.1267430099331721 epoch: 1257 Epoch 1257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1257With loss 0.1267430099331721 epoch: 1258 Epoch 1258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1258With loss 0.1267430099331721 epoch: 1259 Epoch 1259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1259With loss 0.1267430099331721 epoch: 1260 Epoch 1260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1260With loss 0.1267430099331721 epoch: 1261 Epoch 1261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1261With loss 0.1267430099331721 epoch: 1262 Epoch 1262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1262With loss 0.1267430099331721 epoch: 1263 Epoch 1263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1263With loss 0.1267430099331721 epoch: 1264 Epoch 1264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1264With loss 0.1267430099331721 epoch: 1265 Epoch 1265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1265With loss 0.1267430099331721 epoch: 1266 Epoch 1266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1266With loss 0.1267430099331721 epoch: 1267 Epoch 1267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1267With loss 0.1267430099331721 epoch: 1268 Epoch 1268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1268With loss 0.1267430099331721 epoch: 1269 Epoch 1269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1269With loss 0.1267430099331721 epoch: 1270 Epoch 1270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1270With loss 0.1267430099331721 epoch: 1271 Epoch 1271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1271With loss 0.1267430099331721 epoch: 1272 Epoch 1272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1272With loss 0.1267430099331721 epoch: 1273 Epoch 1273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1273With loss 0.1267430099331721 epoch: 1274 Epoch 1274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1274With loss 0.1267430099331721 epoch: 1275 Epoch 1275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1275With loss 0.1267430099331721 epoch: 1276 Epoch 1276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1276With loss 0.1267430099331721 epoch: 1277 Epoch 1277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1277With loss 0.1267430099331721 epoch: 1278 Epoch 1278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1278With loss 0.1267430099331721 epoch: 1279 Epoch 1279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1279With loss 0.1267430099331721 epoch: 1280 Epoch 1280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1280With loss 0.1267430099331721 epoch: 1281 Epoch 1281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1281With loss 0.1267430099331721 epoch: 1282 Epoch 1282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1282With loss 0.1267430099331721 epoch: 1283 Epoch 1283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1283With loss 0.1267430099331721 epoch: 1284 Epoch 1284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1284With loss 0.1267430099331721 epoch: 1285 Epoch 1285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1285With loss 0.1267430099331721 epoch: 1286 Epoch 1286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1286With loss 0.1267430099331721 epoch: 1287 Epoch 1287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1287With loss 0.1267430099331721 epoch: 1288 Epoch 1288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1288With loss 0.1267430099331721 epoch: 1289 Epoch 1289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1289With loss 0.1267430099331721 epoch: 1290 Epoch 1290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1290With loss 0.1267430099331721 epoch: 1291 Epoch 1291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1291With loss 0.1267430099331721 epoch: 1292 Epoch 1292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1292With loss 0.1267430099331721 epoch: 1293 Epoch 1293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1293With loss 0.1267430099331721 epoch: 1294 Epoch 1294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1294With loss 0.1267430099331721 epoch: 1295 Epoch 1295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1295With loss 0.1267430099331721 epoch: 1296 Epoch 1296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1296With loss 0.1267430099331721 epoch: 1297 Epoch 1297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1297With loss 0.1267430099331721 epoch: 1298 Epoch 1298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1298With loss 0.1267430099331721 epoch: 1299 Epoch 1299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1299With loss 0.1267430099331721 epoch: 1300 Epoch 1300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1300With loss 0.1267430099331721 epoch: 1301 Epoch 1301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1301With loss 0.1267430099331721 epoch: 1302 Epoch 1302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1302With loss 0.1267430099331721 epoch: 1303 Epoch 1303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1303With loss 0.1267430099331721 epoch: 1304 Epoch 1304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1304With loss 0.1267430099331721 epoch: 1305 Epoch 1305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1305With loss 0.1267430099331721 epoch: 1306 Epoch 1306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1306With loss 0.1267430099331721 epoch: 1307 Epoch 1307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1307With loss 0.1267430099331721 epoch: 1308 Epoch 1308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1308With loss 0.1267430099331721 epoch: 1309 Epoch 1309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1309With loss 0.1267430099331721 epoch: 1310 Epoch 1310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1310With loss 0.1267430099331721 epoch: 1311 Epoch 1311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1311With loss 0.1267430099331721 epoch: 1312 Epoch 1312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1312With loss 0.1267430099331721 epoch: 1313 Epoch 1313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1313With loss 0.1267430099331721 epoch: 1314 Epoch 1314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1314With loss 0.1267430099331721 epoch: 1315 Epoch 1315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1315With loss 0.1267430099331721 epoch: 1316 Epoch 1316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1316With loss 0.1267430099331721 epoch: 1317 Epoch 1317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1317With loss 0.1267430099331721 epoch: 1318 Epoch 1318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1318With loss 0.1267430099331721 epoch: 1319 Epoch 1319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1319With loss 0.1267430099331721 epoch: 1320 Epoch 1320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1320With loss 0.1267430099331721 epoch: 1321 Epoch 1321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1321With loss 0.1267430099331721 epoch: 1322 Epoch 1322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1322With loss 0.1267430099331721 epoch: 1323 Epoch 1323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1323With loss 0.1267430099331721 epoch: 1324 Epoch 1324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1324With loss 0.1267430099331721 epoch: 1325 Epoch 1325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1325With loss 0.1267430099331721 epoch: 1326 Epoch 1326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1326With loss 0.1267430099331721 epoch: 1327 Epoch 1327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1327With loss 0.1267430099331721 epoch: 1328 Epoch 1328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1328With loss 0.1267430099331721 epoch: 1329 Epoch 1329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1329With loss 0.1267430099331721 epoch: 1330 Epoch 1330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1330With loss 0.1267430099331721 epoch: 1331 Epoch 1331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1331With loss 0.1267430099331721 epoch: 1332 Epoch 1332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1332With loss 0.1267430099331721 epoch: 1333 Epoch 1333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1333With loss 0.1267430099331721 epoch: 1334 Epoch 1334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1334With loss 0.1267430099331721 epoch: 1335 Epoch 1335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1335With loss 0.1267430099331721 epoch: 1336 Epoch 1336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1336With loss 0.1267430099331721 epoch: 1337 Epoch 1337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1337With loss 0.1267430099331721 epoch: 1338 Epoch 1338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1338With loss 0.1267430099331721 epoch: 1339 Epoch 1339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1339With loss 0.1267430099331721 epoch: 1340 Epoch 1340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1340With loss 0.1267430099331721 epoch: 1341 Epoch 1341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1341With loss 0.1267430099331721 epoch: 1342 Epoch 1342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1342With loss 0.1267430099331721 epoch: 1343 Epoch 1343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1343With loss 0.1267430099331721 epoch: 1344 Epoch 1344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1344With loss 0.1267430099331721 epoch: 1345 Epoch 1345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1345With loss 0.1267430099331721 epoch: 1346 Epoch 1346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1346With loss 0.1267430099331721 epoch: 1347 Epoch 1347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1347With loss 0.1267430099331721 epoch: 1348 Epoch 1348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1348With loss 0.1267430099331721 epoch: 1349 Epoch 1349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1349With loss 0.1267430099331721 epoch: 1350 Epoch 1350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1350With loss 0.1267430099331721 epoch: 1351 Epoch 1351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1351With loss 0.1267430099331721 epoch: 1352 Epoch 1352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1352With loss 0.1267430099331721 epoch: 1353 Epoch 1353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1353With loss 0.1267430099331721 epoch: 1354 Epoch 1354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1354With loss 0.1267430099331721 epoch: 1355 Epoch 1355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1355With loss 0.1267430099331721 epoch: 1356 Epoch 1356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1356With loss 0.1267430099331721 epoch: 1357 Epoch 1357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1357With loss 0.1267430099331721 epoch: 1358 Epoch 1358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1358With loss 0.1267430099331721 epoch: 1359 Epoch 1359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1359With loss 0.1267430099331721 epoch: 1360 Epoch 1360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1360With loss 0.1267430099331721 epoch: 1361 Epoch 1361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1361With loss 0.1267430099331721 epoch: 1362 Epoch 1362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1362With loss 0.1267430099331721 epoch: 1363 Epoch 1363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1363With loss 0.1267430099331721 epoch: 1364 Epoch 1364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1364With loss 0.1267430099331721 epoch: 1365 Epoch 1365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1365With loss 0.1267430099331721 epoch: 1366 Epoch 1366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1366With loss 0.1267430099331721 epoch: 1367 Epoch 1367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1367With loss 0.1267430099331721 epoch: 1368 Epoch 1368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1368With loss 0.1267430099331721 epoch: 1369 Epoch 1369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1369With loss 0.1267430099331721 epoch: 1370 Epoch 1370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1370With loss 0.1267430099331721 epoch: 1371 Epoch 1371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1371With loss 0.1267430099331721 epoch: 1372 Epoch 1372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1372With loss 0.1267430099331721 epoch: 1373 Epoch 1373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1373With loss 0.1267430099331721 epoch: 1374 Epoch 1374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1374With loss 0.1267430099331721 epoch: 1375 Epoch 1375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1375With loss 0.1267430099331721 epoch: 1376 Epoch 1376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1376With loss 0.1267430099331721 epoch: 1377 Epoch 1377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1377With loss 0.1267430099331721 epoch: 1378 Epoch 1378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1378With loss 0.1267430099331721 epoch: 1379 Epoch 1379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1379With loss 0.1267430099331721 epoch: 1380 Epoch 1380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1380With loss 0.1267430099331721 epoch: 1381 Epoch 1381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1381With loss 0.1267430099331721 epoch: 1382 Epoch 1382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1382With loss 0.1267430099331721 epoch: 1383 Epoch 1383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1383With loss 0.1267430099331721 epoch: 1384 Epoch 1384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1384With loss 0.1267430099331721 epoch: 1385 Epoch 1385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1385With loss 0.1267430099331721 epoch: 1386 Epoch 1386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1386With loss 0.1267430099331721 epoch: 1387 Epoch 1387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1387With loss 0.1267430099331721 epoch: 1388 Epoch 1388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1388With loss 0.1267430099331721 epoch: 1389 Epoch 1389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1389With loss 0.1267430099331721 epoch: 1390 Epoch 1390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1390With loss 0.1267430099331721 epoch: 1391 Epoch 1391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1391With loss 0.1267430099331721 epoch: 1392 Epoch 1392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1392With loss 0.1267430099331721 epoch: 1393 Epoch 1393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1393With loss 0.1267430099331721 epoch: 1394 Epoch 1394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1394With loss 0.1267430099331721 epoch: 1395 Epoch 1395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1395With loss 0.1267430099331721 epoch: 1396 Epoch 1396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1396With loss 0.1267430099331721 epoch: 1397 Epoch 1397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1397With loss 0.1267430099331721 epoch: 1398 Epoch 1398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1398With loss 0.1267430099331721 epoch: 1399 Epoch 1399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1399With loss 0.1267430099331721 epoch: 1400 Epoch 1400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1400With loss 0.1267430099331721 epoch: 1401 Epoch 1401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1401With loss 0.1267430099331721 epoch: 1402 Epoch 1402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1402With loss 0.1267430099331721 epoch: 1403 Epoch 1403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1403With loss 0.1267430099331721 epoch: 1404 Epoch 1404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1404With loss 0.1267430099331721 epoch: 1405 Epoch 1405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1405With loss 0.1267430099331721 epoch: 1406 Epoch 1406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1406With loss 0.1267430099331721 epoch: 1407 Epoch 1407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1407With loss 0.1267430099331721 epoch: 1408 Epoch 1408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1408With loss 0.1267430099331721 epoch: 1409 Epoch 1409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1409With loss 0.1267430099331721 epoch: 1410 Epoch 1410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1410With loss 0.1267430099331721 epoch: 1411 Epoch 1411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1411With loss 0.1267430099331721 epoch: 1412 Epoch 1412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1412With loss 0.1267430099331721 epoch: 1413 Epoch 1413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1413With loss 0.1267430099331721 epoch: 1414 Epoch 1414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1414With loss 0.1267430099331721 epoch: 1415 Epoch 1415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1415With loss 0.1267430099331721 epoch: 1416 Epoch 1416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1416With loss 0.1267430099331721 epoch: 1417 Epoch 1417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1417With loss 0.1267430099331721 epoch: 1418 Epoch 1418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1418With loss 0.1267430099331721 epoch: 1419 Epoch 1419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1419With loss 0.1267430099331721 epoch: 1420 Epoch 1420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1420With loss 0.1267430099331721 epoch: 1421 Epoch 1421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1421With loss 0.1267430099331721 epoch: 1422 Epoch 1422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1422With loss 0.1267430099331721 epoch: 1423 Epoch 1423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1423With loss 0.1267430099331721 epoch: 1424 Epoch 1424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1424With loss 0.1267430099331721 epoch: 1425 Epoch 1425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1425With loss 0.1267430099331721 epoch: 1426 Epoch 1426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1426With loss 0.1267430099331721 epoch: 1427 Epoch 1427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1427With loss 0.1267430099331721 epoch: 1428 Epoch 1428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1428With loss 0.1267430099331721 epoch: 1429 Epoch 1429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1429With loss 0.1267430099331721 epoch: 1430 Epoch 1430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1430With loss 0.1267430099331721 epoch: 1431 Epoch 1431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1431With loss 0.1267430099331721 epoch: 1432 Epoch 1432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1432With loss 0.1267430099331721 epoch: 1433 Epoch 1433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1433With loss 0.1267430099331721 epoch: 1434 Epoch 1434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1434With loss 0.1267430099331721 epoch: 1435 Epoch 1435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1435With loss 0.1267430099331721 epoch: 1436 Epoch 1436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1436With loss 0.1267430099331721 epoch: 1437 Epoch 1437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1437With loss 0.1267430099331721 epoch: 1438 Epoch 1438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1438With loss 0.1267430099331721 epoch: 1439 Epoch 1439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1439With loss 0.1267430099331721 epoch: 1440 Epoch 1440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1440With loss 0.1267430099331721 epoch: 1441 Epoch 1441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1441With loss 0.1267430099331721 epoch: 1442 Epoch 1442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1442With loss 0.1267430099331721 epoch: 1443 Epoch 1443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1443With loss 0.1267430099331721 epoch: 1444 Epoch 1444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1444With loss 0.1267430099331721 epoch: 1445 Epoch 1445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1445With loss 0.1267430099331721 epoch: 1446 Epoch 1446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1446With loss 0.1267430099331721 epoch: 1447 Epoch 1447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1447With loss 0.1267430099331721 epoch: 1448 Epoch 1448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1448With loss 0.1267430099331721 epoch: 1449 Epoch 1449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1449With loss 0.1267430099331721 epoch: 1450 Epoch 1450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1450With loss 0.1267430099331721 epoch: 1451 Epoch 1451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1451With loss 0.1267430099331721 epoch: 1452 Epoch 1452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1452With loss 0.1267430099331721 epoch: 1453 Epoch 1453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1453With loss 0.1267430099331721 epoch: 1454 Epoch 1454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1454With loss 0.1267430099331721 epoch: 1455 Epoch 1455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1455With loss 0.1267430099331721 epoch: 1456 Epoch 1456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1456With loss 0.1267430099331721 epoch: 1457 Epoch 1457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1457With loss 0.1267430099331721 epoch: 1458 Epoch 1458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1458With loss 0.1267430099331721 epoch: 1459 Epoch 1459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1459With loss 0.1267430099331721 epoch: 1460 Epoch 1460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1460With loss 0.1267430099331721 epoch: 1461 Epoch 1461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1461With loss 0.1267430099331721 epoch: 1462 Epoch 1462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1462With loss 0.1267430099331721 epoch: 1463 Epoch 1463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1463With loss 0.1267430099331721 epoch: 1464 Epoch 1464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1464With loss 0.1267430099331721 epoch: 1465 Epoch 1465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1465With loss 0.1267430099331721 epoch: 1466 Epoch 1466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1466With loss 0.1267430099331721 epoch: 1467 Epoch 1467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1467With loss 0.1267430099331721 epoch: 1468 Epoch 1468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1468With loss 0.1267430099331721 epoch: 1469 Epoch 1469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1469With loss 0.1267430099331721 epoch: 1470 Epoch 1470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1470With loss 0.1267430099331721 epoch: 1471 Epoch 1471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1471With loss 0.1267430099331721 epoch: 1472 Epoch 1472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1472With loss 0.1267430099331721 epoch: 1473 Epoch 1473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1473With loss 0.1267430099331721 epoch: 1474 Epoch 1474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1474With loss 0.1267430099331721 epoch: 1475 Epoch 1475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1475With loss 0.1267430099331721 epoch: 1476 Epoch 1476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1476With loss 0.1267430099331721 epoch: 1477 Epoch 1477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1477With loss 0.1267430099331721 epoch: 1478 Epoch 1478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1478With loss 0.1267430099331721 epoch: 1479 Epoch 1479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1479With loss 0.1267430099331721 epoch: 1480 Epoch 1480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1480With loss 0.1267430099331721 epoch: 1481 Epoch 1481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1481With loss 0.1267430099331721 epoch: 1482 Epoch 1482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1482With loss 0.1267430099331721 epoch: 1483 Epoch 1483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1483With loss 0.1267430099331721 epoch: 1484 Epoch 1484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1484With loss 0.1267430099331721 epoch: 1485 Epoch 1485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1485With loss 0.1267430099331721 epoch: 1486 Epoch 1486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1486With loss 0.1267430099331721 epoch: 1487 Epoch 1487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1487With loss 0.1267430099331721 epoch: 1488 Epoch 1488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1488With loss 0.1267430099331721 epoch: 1489 Epoch 1489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1489With loss 0.1267430099331721 epoch: 1490 Epoch 1490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1490With loss 0.1267430099331721 epoch: 1491 Epoch 1491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1491With loss 0.1267430099331721 epoch: 1492 Epoch 1492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1492With loss 0.1267430099331721 epoch: 1493 Epoch 1493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1493With loss 0.1267430099331721 epoch: 1494 Epoch 1494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1494With loss 0.1267430099331721 epoch: 1495 Epoch 1495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1495With loss 0.1267430099331721 epoch: 1496 Epoch 1496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1496With loss 0.1267430099331721 epoch: 1497 Epoch 1497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1497With loss 0.1267430099331721 epoch: 1498 Epoch 1498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1498With loss 0.1267430099331721 epoch: 1499 Epoch 1499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1499With loss 0.1267430099331721 epoch: 1500 Epoch 1500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1500With loss 0.1267430099331721 epoch: 1501 Epoch 1501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1501With loss 0.1267430099331721 epoch: 1502 Epoch 1502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1502With loss 0.1267430099331721 epoch: 1503 Epoch 1503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1503With loss 0.1267430099331721 epoch: 1504 Epoch 1504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1504With loss 0.1267430099331721 epoch: 1505 Epoch 1505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1505With loss 0.1267430099331721 epoch: 1506 Epoch 1506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1506With loss 0.1267430099331721 epoch: 1507 Epoch 1507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1507With loss 0.1267430099331721 epoch: 1508 Epoch 1508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1508With loss 0.1267430099331721 epoch: 1509 Epoch 1509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1509With loss 0.1267430099331721 epoch: 1510 Epoch 1510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1510With loss 0.1267430099331721 epoch: 1511 Epoch 1511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1511With loss 0.1267430099331721 epoch: 1512 Epoch 1512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1512With loss 0.1267430099331721 epoch: 1513 Epoch 1513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1513With loss 0.1267430099331721 epoch: 1514 Epoch 1514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1514With loss 0.1267430099331721 epoch: 1515 Epoch 1515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1515With loss 0.1267430099331721 epoch: 1516 Epoch 1516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1516With loss 0.1267430099331721 epoch: 1517 Epoch 1517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1517With loss 0.1267430099331721 epoch: 1518 Epoch 1518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1518With loss 0.1267430099331721 epoch: 1519 Epoch 1519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1519With loss 0.1267430099331721 epoch: 1520 Epoch 1520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1520With loss 0.1267430099331721 epoch: 1521 Epoch 1521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1521With loss 0.1267430099331721 epoch: 1522 Epoch 1522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1522With loss 0.1267430099331721 epoch: 1523 Epoch 1523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1523With loss 0.1267430099331721 epoch: 1524 Epoch 1524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1524With loss 0.1267430099331721 epoch: 1525 Epoch 1525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1525With loss 0.1267430099331721 epoch: 1526 Epoch 1526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1526With loss 0.1267430099331721 epoch: 1527 Epoch 1527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1527With loss 0.1267430099331721 epoch: 1528 Epoch 1528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1528With loss 0.1267430099331721 epoch: 1529 Epoch 1529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1529With loss 0.1267430099331721 epoch: 1530 Epoch 1530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1530With loss 0.1267430099331721 epoch: 1531 Epoch 1531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1531With loss 0.1267430099331721 epoch: 1532 Epoch 1532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1532With loss 0.1267430099331721 epoch: 1533 Epoch 1533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1533With loss 0.1267430099331721 epoch: 1534 Epoch 1534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1534With loss 0.1267430099331721 epoch: 1535 Epoch 1535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1535With loss 0.1267430099331721 epoch: 1536 Epoch 1536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1536With loss 0.1267430099331721 epoch: 1537 Epoch 1537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1537With loss 0.1267430099331721 epoch: 1538 Epoch 1538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1538With loss 0.1267430099331721 epoch: 1539 Epoch 1539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1539With loss 0.1267430099331721 epoch: 1540 Epoch 1540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1540With loss 0.1267430099331721 epoch: 1541 Epoch 1541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1541With loss 0.1267430099331721 epoch: 1542 Epoch 1542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1542With loss 0.1267430099331721 epoch: 1543 Epoch 1543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1543With loss 0.1267430099331721 epoch: 1544 Epoch 1544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1544With loss 0.1267430099331721 epoch: 1545 Epoch 1545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1545With loss 0.1267430099331721 epoch: 1546 Epoch 1546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1546With loss 0.1267430099331721 epoch: 1547 Epoch 1547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1547With loss 0.1267430099331721 epoch: 1548 Epoch 1548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1548With loss 0.1267430099331721 epoch: 1549 Epoch 1549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1549With loss 0.1267430099331721 epoch: 1550 Epoch 1550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1550With loss 0.1267430099331721 epoch: 1551 Epoch 1551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1551With loss 0.1267430099331721 epoch: 1552 Epoch 1552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1552With loss 0.1267430099331721 epoch: 1553 Epoch 1553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1553With loss 0.1267430099331721 epoch: 1554 Epoch 1554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1554With loss 0.1267430099331721 epoch: 1555 Epoch 1555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1555With loss 0.1267430099331721 epoch: 1556 Epoch 1556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1556With loss 0.1267430099331721 epoch: 1557 Epoch 1557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1557With loss 0.1267430099331721 epoch: 1558 Epoch 1558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1558With loss 0.1267430099331721 epoch: 1559 Epoch 1559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1559With loss 0.1267430099331721 epoch: 1560 Epoch 1560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1560With loss 0.1267430099331721 epoch: 1561 Epoch 1561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1561With loss 0.1267430099331721 epoch: 1562 Epoch 1562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1562With loss 0.1267430099331721 epoch: 1563 Epoch 1563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1563With loss 0.1267430099331721 epoch: 1564 Epoch 1564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1564With loss 0.1267430099331721 epoch: 1565 Epoch 1565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1565With loss 0.1267430099331721 epoch: 1566 Epoch 1566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1566With loss 0.1267430099331721 epoch: 1567 Epoch 1567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1567With loss 0.1267430099331721 epoch: 1568 Epoch 1568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1568With loss 0.1267430099331721 epoch: 1569 Epoch 1569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1569With loss 0.1267430099331721 epoch: 1570 Epoch 1570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1570With loss 0.1267430099331721 epoch: 1571 Epoch 1571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1571With loss 0.1267430099331721 epoch: 1572 Epoch 1572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1572With loss 0.1267430099331721 epoch: 1573 Epoch 1573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1573With loss 0.1267430099331721 epoch: 1574 Epoch 1574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1574With loss 0.1267430099331721 epoch: 1575 Epoch 1575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1575With loss 0.1267430099331721 epoch: 1576 Epoch 1576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1576With loss 0.1267430099331721 epoch: 1577 Epoch 1577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1577With loss 0.1267430099331721 epoch: 1578 Epoch 1578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1578With loss 0.1267430099331721 epoch: 1579 Epoch 1579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1579With loss 0.1267430099331721 epoch: 1580 Epoch 1580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1580With loss 0.1267430099331721 epoch: 1581 Epoch 1581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1581With loss 0.1267430099331721 epoch: 1582 Epoch 1582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1582With loss 0.1267430099331721 epoch: 1583 Epoch 1583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1583With loss 0.1267430099331721 epoch: 1584 Epoch 1584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1584With loss 0.1267430099331721 epoch: 1585 Epoch 1585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1585With loss 0.1267430099331721 epoch: 1586 Epoch 1586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1586With loss 0.1267430099331721 epoch: 1587 Epoch 1587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1587With loss 0.1267430099331721 epoch: 1588 Epoch 1588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1588With loss 0.1267430099331721 epoch: 1589 Epoch 1589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1589With loss 0.1267430099331721 epoch: 1590 Epoch 1590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1590With loss 0.1267430099331721 epoch: 1591 Epoch 1591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1591With loss 0.1267430099331721 epoch: 1592 Epoch 1592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1592With loss 0.1267430099331721 epoch: 1593 Epoch 1593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1593With loss 0.1267430099331721 epoch: 1594 Epoch 1594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1594With loss 0.1267430099331721 epoch: 1595 Epoch 1595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1595With loss 0.1267430099331721 epoch: 1596 Epoch 1596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1596With loss 0.1267430099331721 epoch: 1597 Epoch 1597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1597With loss 0.1267430099331721 epoch: 1598 Epoch 1598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1598With loss 0.1267430099331721 epoch: 1599 Epoch 1599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1599With loss 0.1267430099331721 epoch: 1600 Epoch 1600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1600With loss 0.1267430099331721 epoch: 1601 Epoch 1601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1601With loss 0.1267430099331721 epoch: 1602 Epoch 1602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1602With loss 0.1267430099331721 epoch: 1603 Epoch 1603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1603With loss 0.1267430099331721 epoch: 1604 Epoch 1604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1604With loss 0.1267430099331721 epoch: 1605 Epoch 1605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1605With loss 0.1267430099331721 epoch: 1606 Epoch 1606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1606With loss 0.1267430099331721 epoch: 1607 Epoch 1607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1607With loss 0.1267430099331721 epoch: 1608 Epoch 1608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1608With loss 0.1267430099331721 epoch: 1609 Epoch 1609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1609With loss 0.1267430099331721 epoch: 1610 Epoch 1610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1610With loss 0.1267430099331721 epoch: 1611 Epoch 1611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1611With loss 0.1267430099331721 epoch: 1612 Epoch 1612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1612With loss 0.1267430099331721 epoch: 1613 Epoch 1613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1613With loss 0.1267430099331721 epoch: 1614 Epoch 1614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1614With loss 0.1267430099331721 epoch: 1615 Epoch 1615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1615With loss 0.1267430099331721 epoch: 1616 Epoch 1616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1616With loss 0.1267430099331721 epoch: 1617 Epoch 1617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1617With loss 0.1267430099331721 epoch: 1618 Epoch 1618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1618With loss 0.1267430099331721 epoch: 1619 Epoch 1619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1619With loss 0.1267430099331721 epoch: 1620 Epoch 1620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1620With loss 0.1267430099331721 epoch: 1621 Epoch 1621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1621With loss 0.1267430099331721 epoch: 1622 Epoch 1622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1622With loss 0.1267430099331721 epoch: 1623 Epoch 1623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1623With loss 0.1267430099331721 epoch: 1624 Epoch 1624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1624With loss 0.1267430099331721 epoch: 1625 Epoch 1625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1625With loss 0.1267430099331721 epoch: 1626 Epoch 1626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1626With loss 0.1267430099331721 epoch: 1627 Epoch 1627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1627With loss 0.1267430099331721 epoch: 1628 Epoch 1628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1628With loss 0.1267430099331721 epoch: 1629 Epoch 1629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1629With loss 0.1267430099331721 epoch: 1630 Epoch 1630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1630With loss 0.1267430099331721 epoch: 1631 Epoch 1631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1631With loss 0.1267430099331721 epoch: 1632 Epoch 1632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1632With loss 0.1267430099331721 epoch: 1633 Epoch 1633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1633With loss 0.1267430099331721 epoch: 1634 Epoch 1634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1634With loss 0.1267430099331721 epoch: 1635 Epoch 1635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1635With loss 0.1267430099331721 epoch: 1636 Epoch 1636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1636With loss 0.1267430099331721 epoch: 1637 Epoch 1637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1637With loss 0.1267430099331721 epoch: 1638 Epoch 1638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1638With loss 0.1267430099331721 epoch: 1639 Epoch 1639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1639With loss 0.1267430099331721 epoch: 1640 Epoch 1640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1640With loss 0.1267430099331721 epoch: 1641 Epoch 1641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1641With loss 0.1267430099331721 epoch: 1642 Epoch 1642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1642With loss 0.1267430099331721 epoch: 1643 Epoch 1643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1643With loss 0.1267430099331721 epoch: 1644 Epoch 1644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1644With loss 0.1267430099331721 epoch: 1645 Epoch 1645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1645With loss 0.1267430099331721 epoch: 1646 Epoch 1646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1646With loss 0.1267430099331721 epoch: 1647 Epoch 1647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1647With loss 0.1267430099331721 epoch: 1648 Epoch 1648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1648With loss 0.1267430099331721 epoch: 1649 Epoch 1649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1649With loss 0.1267430099331721 epoch: 1650 Epoch 1650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1650With loss 0.1267430099331721 epoch: 1651 Epoch 1651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1651With loss 0.1267430099331721 epoch: 1652 Epoch 1652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1652With loss 0.1267430099331721 epoch: 1653 Epoch 1653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1653With loss 0.1267430099331721 epoch: 1654 Epoch 1654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1654With loss 0.1267430099331721 epoch: 1655 Epoch 1655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1655With loss 0.1267430099331721 epoch: 1656 Epoch 1656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1656With loss 0.1267430099331721 epoch: 1657 Epoch 1657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1657With loss 0.1267430099331721 epoch: 1658 Epoch 1658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1658With loss 0.1267430099331721 epoch: 1659 Epoch 1659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1659With loss 0.1267430099331721 epoch: 1660 Epoch 1660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1660With loss 0.1267430099331721 epoch: 1661 Epoch 1661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1661With loss 0.1267430099331721 epoch: 1662 Epoch 1662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1662With loss 0.1267430099331721 epoch: 1663 Epoch 1663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1663With loss 0.1267430099331721 epoch: 1664 Epoch 1664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1664With loss 0.1267430099331721 epoch: 1665 Epoch 1665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1665With loss 0.1267430099331721 epoch: 1666 Epoch 1666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1666With loss 0.1267430099331721 epoch: 1667 Epoch 1667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1667With loss 0.1267430099331721 epoch: 1668 Epoch 1668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1668With loss 0.1267430099331721 epoch: 1669 Epoch 1669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1669With loss 0.1267430099331721 epoch: 1670 Epoch 1670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1670With loss 0.1267430099331721 epoch: 1671 Epoch 1671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1671With loss 0.1267430099331721 epoch: 1672 Epoch 1672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1672With loss 0.1267430099331721 epoch: 1673 Epoch 1673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1673With loss 0.1267430099331721 epoch: 1674 Epoch 1674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1674With loss 0.1267430099331721 epoch: 1675 Epoch 1675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1675With loss 0.1267430099331721 epoch: 1676 Epoch 1676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1676With loss 0.1267430099331721 epoch: 1677 Epoch 1677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1677With loss 0.1267430099331721 epoch: 1678 Epoch 1678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1678With loss 0.1267430099331721 epoch: 1679 Epoch 1679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1679With loss 0.1267430099331721 epoch: 1680 Epoch 1680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1680With loss 0.1267430099331721 epoch: 1681 Epoch 1681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1681With loss 0.1267430099331721 epoch: 1682 Epoch 1682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1682With loss 0.1267430099331721 epoch: 1683 Epoch 1683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1683With loss 0.1267430099331721 epoch: 1684 Epoch 1684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1684With loss 0.1267430099331721 epoch: 1685 Epoch 1685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1685With loss 0.1267430099331721 epoch: 1686 Epoch 1686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1686With loss 0.1267430099331721 epoch: 1687 Epoch 1687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1687With loss 0.1267430099331721 epoch: 1688 Epoch 1688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1688With loss 0.1267430099331721 epoch: 1689 Epoch 1689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1689With loss 0.1267430099331721 epoch: 1690 Epoch 1690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1690With loss 0.1267430099331721 epoch: 1691 Epoch 1691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1691With loss 0.1267430099331721 epoch: 1692 Epoch 1692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1692With loss 0.1267430099331721 epoch: 1693 Epoch 1693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1693With loss 0.1267430099331721 epoch: 1694 Epoch 1694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1694With loss 0.1267430099331721 epoch: 1695 Epoch 1695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1695With loss 0.1267430099331721 epoch: 1696 Epoch 1696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1696With loss 0.1267430099331721 epoch: 1697 Epoch 1697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1697With loss 0.1267430099331721 epoch: 1698 Epoch 1698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1698With loss 0.1267430099331721 epoch: 1699 Epoch 1699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1699With loss 0.1267430099331721 epoch: 1700 Epoch 1700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1700With loss 0.1267430099331721 epoch: 1701 Epoch 1701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1701With loss 0.1267430099331721 epoch: 1702 Epoch 1702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1702With loss 0.1267430099331721 epoch: 1703 Epoch 1703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1703With loss 0.1267430099331721 epoch: 1704 Epoch 1704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1704With loss 0.1267430099331721 epoch: 1705 Epoch 1705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1705With loss 0.1267430099331721 epoch: 1706 Epoch 1706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1706With loss 0.1267430099331721 epoch: 1707 Epoch 1707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1707With loss 0.1267430099331721 epoch: 1708 Epoch 1708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1708With loss 0.1267430099331721 epoch: 1709 Epoch 1709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1709With loss 0.1267430099331721 epoch: 1710 Epoch 1710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1710With loss 0.1267430099331721 epoch: 1711 Epoch 1711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1711With loss 0.1267430099331721 epoch: 1712 Epoch 1712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1712With loss 0.1267430099331721 epoch: 1713 Epoch 1713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1713With loss 0.1267430099331721 epoch: 1714 Epoch 1714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1714With loss 0.1267430099331721 epoch: 1715 Epoch 1715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1715With loss 0.1267430099331721 epoch: 1716 Epoch 1716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1716With loss 0.1267430099331721 epoch: 1717 Epoch 1717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1717With loss 0.1267430099331721 epoch: 1718 Epoch 1718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1718With loss 0.1267430099331721 epoch: 1719 Epoch 1719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1719With loss 0.1267430099331721 epoch: 1720 Epoch 1720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1720With loss 0.1267430099331721 epoch: 1721 Epoch 1721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1721With loss 0.1267430099331721 epoch: 1722 Epoch 1722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1722With loss 0.1267430099331721 epoch: 1723 Epoch 1723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1723With loss 0.1267430099331721 epoch: 1724 Epoch 1724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1724With loss 0.1267430099331721 epoch: 1725 Epoch 1725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1725With loss 0.1267430099331721 epoch: 1726 Epoch 1726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1726With loss 0.1267430099331721 epoch: 1727 Epoch 1727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1727With loss 0.1267430099331721 epoch: 1728 Epoch 1728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1728With loss 0.1267430099331721 epoch: 1729 Epoch 1729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1729With loss 0.1267430099331721 epoch: 1730 Epoch 1730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1730With loss 0.1267430099331721 epoch: 1731 Epoch 1731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1731With loss 0.1267430099331721 epoch: 1732 Epoch 1732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1732With loss 0.1267430099331721 epoch: 1733 Epoch 1733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1733With loss 0.1267430099331721 epoch: 1734 Epoch 1734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1734With loss 0.1267430099331721 epoch: 1735 Epoch 1735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1735With loss 0.1267430099331721 epoch: 1736 Epoch 1736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1736With loss 0.1267430099331721 epoch: 1737 Epoch 1737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1737With loss 0.1267430099331721 epoch: 1738 Epoch 1738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1738With loss 0.1267430099331721 epoch: 1739 Epoch 1739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1739With loss 0.1267430099331721 epoch: 1740 Epoch 1740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1740With loss 0.1267430099331721 epoch: 1741 Epoch 1741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1741With loss 0.1267430099331721 epoch: 1742 Epoch 1742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1742With loss 0.1267430099331721 epoch: 1743 Epoch 1743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1743With loss 0.1267430099331721 epoch: 1744 Epoch 1744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1744With loss 0.1267430099331721 epoch: 1745 Epoch 1745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1745With loss 0.1267430099331721 epoch: 1746 Epoch 1746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1746With loss 0.1267430099331721 epoch: 1747 Epoch 1747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1747With loss 0.1267430099331721 epoch: 1748 Epoch 1748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1748With loss 0.1267430099331721 epoch: 1749 Epoch 1749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1749With loss 0.1267430099331721 epoch: 1750 Epoch 1750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1750With loss 0.1267430099331721 epoch: 1751 Epoch 1751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1751With loss 0.1267430099331721 epoch: 1752 Epoch 1752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1752With loss 0.1267430099331721 epoch: 1753 Epoch 1753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1753With loss 0.1267430099331721 epoch: 1754 Epoch 1754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1754With loss 0.1267430099331721 epoch: 1755 Epoch 1755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1755With loss 0.1267430099331721 epoch: 1756 Epoch 1756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1756With loss 0.1267430099331721 epoch: 1757 Epoch 1757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1757With loss 0.1267430099331721 epoch: 1758 Epoch 1758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1758With loss 0.1267430099331721 epoch: 1759 Epoch 1759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1759With loss 0.1267430099331721 epoch: 1760 Epoch 1760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1760With loss 0.1267430099331721 epoch: 1761 Epoch 1761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1761With loss 0.1267430099331721 epoch: 1762 Epoch 1762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1762With loss 0.1267430099331721 epoch: 1763 Epoch 1763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1763With loss 0.1267430099331721 epoch: 1764 Epoch 1764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1764With loss 0.1267430099331721 epoch: 1765 Epoch 1765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1765With loss 0.1267430099331721 epoch: 1766 Epoch 1766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1766With loss 0.1267430099331721 epoch: 1767 Epoch 1767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1767With loss 0.1267430099331721 epoch: 1768 Epoch 1768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1768With loss 0.1267430099331721 epoch: 1769 Epoch 1769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1769With loss 0.1267430099331721 epoch: 1770 Epoch 1770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1770With loss 0.1267430099331721 epoch: 1771 Epoch 1771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1771With loss 0.1267430099331721 epoch: 1772 Epoch 1772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1772With loss 0.1267430099331721 epoch: 1773 Epoch 1773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1773With loss 0.1267430099331721 epoch: 1774 Epoch 1774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1774With loss 0.1267430099331721 epoch: 1775 Epoch 1775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1775With loss 0.1267430099331721 epoch: 1776 Epoch 1776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1776With loss 0.1267430099331721 epoch: 1777 Epoch 1777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1777With loss 0.1267430099331721 epoch: 1778 Epoch 1778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1778With loss 0.1267430099331721 epoch: 1779 Epoch 1779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1779With loss 0.1267430099331721 epoch: 1780 Epoch 1780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1780With loss 0.1267430099331721 epoch: 1781 Epoch 1781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1781With loss 0.1267430099331721 epoch: 1782 Epoch 1782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1782With loss 0.1267430099331721 epoch: 1783 Epoch 1783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1783With loss 0.1267430099331721 epoch: 1784 Epoch 1784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1784With loss 0.1267430099331721 epoch: 1785 Epoch 1785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1785With loss 0.1267430099331721 epoch: 1786 Epoch 1786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1786With loss 0.1267430099331721 epoch: 1787 Epoch 1787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1787With loss 0.1267430099331721 epoch: 1788 Epoch 1788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1788With loss 0.1267430099331721 epoch: 1789 Epoch 1789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1789With loss 0.1267430099331721 epoch: 1790 Epoch 1790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1790With loss 0.1267430099331721 epoch: 1791 Epoch 1791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1791With loss 0.1267430099331721 epoch: 1792 Epoch 1792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1792With loss 0.1267430099331721 epoch: 1793 Epoch 1793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1793With loss 0.1267430099331721 epoch: 1794 Epoch 1794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1794With loss 0.1267430099331721 epoch: 1795 Epoch 1795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1795With loss 0.1267430099331721 epoch: 1796 Epoch 1796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1796With loss 0.1267430099331721 epoch: 1797 Epoch 1797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1797With loss 0.1267430099331721 epoch: 1798 Epoch 1798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1798With loss 0.1267430099331721 epoch: 1799 Epoch 1799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1799With loss 0.1267430099331721 epoch: 1800 Epoch 1800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1800With loss 0.1267430099331721 epoch: 1801 Epoch 1801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1801With loss 0.1267430099331721 epoch: 1802 Epoch 1802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1802With loss 0.1267430099331721 epoch: 1803 Epoch 1803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1803With loss 0.1267430099331721 epoch: 1804 Epoch 1804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1804With loss 0.1267430099331721 epoch: 1805 Epoch 1805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1805With loss 0.1267430099331721 epoch: 1806 Epoch 1806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1806With loss 0.1267430099331721 epoch: 1807 Epoch 1807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1807With loss 0.1267430099331721 epoch: 1808 Epoch 1808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1808With loss 0.1267430099331721 epoch: 1809 Epoch 1809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1809With loss 0.1267430099331721 epoch: 1810 Epoch 1810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1810With loss 0.1267430099331721 epoch: 1811 Epoch 1811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1811With loss 0.1267430099331721 epoch: 1812 Epoch 1812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1812With loss 0.1267430099331721 epoch: 1813 Epoch 1813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1813With loss 0.1267430099331721 epoch: 1814 Epoch 1814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1814With loss 0.1267430099331721 epoch: 1815 Epoch 1815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1815With loss 0.1267430099331721 epoch: 1816 Epoch 1816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1816With loss 0.1267430099331721 epoch: 1817 Epoch 1817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1817With loss 0.1267430099331721 epoch: 1818 Epoch 1818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1818With loss 0.1267430099331721 epoch: 1819 Epoch 1819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1819With loss 0.1267430099331721 epoch: 1820 Epoch 1820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1820With loss 0.1267430099331721 epoch: 1821 Epoch 1821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1821With loss 0.1267430099331721 epoch: 1822 Epoch 1822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1822With loss 0.1267430099331721 epoch: 1823 Epoch 1823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1823With loss 0.1267430099331721 epoch: 1824 Epoch 1824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1824With loss 0.1267430099331721 epoch: 1825 Epoch 1825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1825With loss 0.1267430099331721 epoch: 1826 Epoch 1826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1826With loss 0.1267430099331721 epoch: 1827 Epoch 1827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1827With loss 0.1267430099331721 epoch: 1828 Epoch 1828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1828With loss 0.1267430099331721 epoch: 1829 Epoch 1829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1829With loss 0.1267430099331721 epoch: 1830 Epoch 1830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1830With loss 0.1267430099331721 epoch: 1831 Epoch 1831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1831With loss 0.1267430099331721 epoch: 1832 Epoch 1832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1832With loss 0.1267430099331721 epoch: 1833 Epoch 1833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1833With loss 0.1267430099331721 epoch: 1834 Epoch 1834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1834With loss 0.1267430099331721 epoch: 1835 Epoch 1835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1835With loss 0.1267430099331721 epoch: 1836 Epoch 1836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1836With loss 0.1267430099331721 epoch: 1837 Epoch 1837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1837With loss 0.1267430099331721 epoch: 1838 Epoch 1838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1838With loss 0.1267430099331721 epoch: 1839 Epoch 1839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1839With loss 0.1267430099331721 epoch: 1840 Epoch 1840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1840With loss 0.1267430099331721 epoch: 1841 Epoch 1841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1841With loss 0.1267430099331721 epoch: 1842 Epoch 1842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1842With loss 0.1267430099331721 epoch: 1843 Epoch 1843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1843With loss 0.1267430099331721 epoch: 1844 Epoch 1844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1844With loss 0.1267430099331721 epoch: 1845 Epoch 1845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1845With loss 0.1267430099331721 epoch: 1846 Epoch 1846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1846With loss 0.1267430099331721 epoch: 1847 Epoch 1847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1847With loss 0.1267430099331721 epoch: 1848 Epoch 1848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1848With loss 0.1267430099331721 epoch: 1849 Epoch 1849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1849With loss 0.1267430099331721 epoch: 1850 Epoch 1850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1850With loss 0.1267430099331721 epoch: 1851 Epoch 1851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1851With loss 0.1267430099331721 epoch: 1852 Epoch 1852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1852With loss 0.1267430099331721 epoch: 1853 Epoch 1853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1853With loss 0.1267430099331721 epoch: 1854 Epoch 1854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1854With loss 0.1267430099331721 epoch: 1855 Epoch 1855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1855With loss 0.1267430099331721 epoch: 1856 Epoch 1856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1856With loss 0.1267430099331721 epoch: 1857 Epoch 1857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1857With loss 0.1267430099331721 epoch: 1858 Epoch 1858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1858With loss 0.1267430099331721 epoch: 1859 Epoch 1859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1859With loss 0.1267430099331721 epoch: 1860 Epoch 1860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1860With loss 0.1267430099331721 epoch: 1861 Epoch 1861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1861With loss 0.1267430099331721 epoch: 1862 Epoch 1862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1862With loss 0.1267430099331721 epoch: 1863 Epoch 1863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1863With loss 0.1267430099331721 epoch: 1864 Epoch 1864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1864With loss 0.1267430099331721 epoch: 1865 Epoch 1865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1865With loss 0.1267430099331721 epoch: 1866 Epoch 1866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1866With loss 0.1267430099331721 epoch: 1867 Epoch 1867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1867With loss 0.1267430099331721 epoch: 1868 Epoch 1868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1868With loss 0.1267430099331721 epoch: 1869 Epoch 1869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1869With loss 0.1267430099331721 epoch: 1870 Epoch 1870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1870With loss 0.1267430099331721 epoch: 1871 Epoch 1871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1871With loss 0.1267430099331721 epoch: 1872 Epoch 1872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1872With loss 0.1267430099331721 epoch: 1873 Epoch 1873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1873With loss 0.1267430099331721 epoch: 1874 Epoch 1874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1874With loss 0.1267430099331721 epoch: 1875 Epoch 1875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1875With loss 0.1267430099331721 epoch: 1876 Epoch 1876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1876With loss 0.1267430099331721 epoch: 1877 Epoch 1877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1877With loss 0.1267430099331721 epoch: 1878 Epoch 1878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1878With loss 0.1267430099331721 epoch: 1879 Epoch 1879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1879With loss 0.1267430099331721 epoch: 1880 Epoch 1880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1880With loss 0.1267430099331721 epoch: 1881 Epoch 1881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1881With loss 0.1267430099331721 epoch: 1882 Epoch 1882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1882With loss 0.1267430099331721 epoch: 1883 Epoch 1883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1883With loss 0.1267430099331721 epoch: 1884 Epoch 1884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1884With loss 0.1267430099331721 epoch: 1885 Epoch 1885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1885With loss 0.1267430099331721 epoch: 1886 Epoch 1886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1886With loss 0.1267430099331721 epoch: 1887 Epoch 1887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1887With loss 0.1267430099331721 epoch: 1888 Epoch 1888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1888With loss 0.1267430099331721 epoch: 1889 Epoch 1889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1889With loss 0.1267430099331721 epoch: 1890 Epoch 1890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1890With loss 0.1267430099331721 epoch: 1891 Epoch 1891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1891With loss 0.1267430099331721 epoch: 1892 Epoch 1892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1892With loss 0.1267430099331721 epoch: 1893 Epoch 1893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1893With loss 0.1267430099331721 epoch: 1894 Epoch 1894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1894With loss 0.1267430099331721 epoch: 1895 Epoch 1895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1895With loss 0.1267430099331721 epoch: 1896 Epoch 1896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1896With loss 0.1267430099331721 epoch: 1897 Epoch 1897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1897With loss 0.1267430099331721 epoch: 1898 Epoch 1898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1898With loss 0.1267430099331721 epoch: 1899 Epoch 1899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1899With loss 0.1267430099331721 epoch: 1900 Epoch 1900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1900With loss 0.1267430099331721 epoch: 1901 Epoch 1901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1901With loss 0.1267430099331721 epoch: 1902 Epoch 1902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1902With loss 0.1267430099331721 epoch: 1903 Epoch 1903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1903With loss 0.1267430099331721 epoch: 1904 Epoch 1904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1904With loss 0.1267430099331721 epoch: 1905 Epoch 1905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1905With loss 0.1267430099331721 epoch: 1906 Epoch 1906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1906With loss 0.1267430099331721 epoch: 1907 Epoch 1907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1907With loss 0.1267430099331721 epoch: 1908 Epoch 1908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1908With loss 0.1267430099331721 epoch: 1909 Epoch 1909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1909With loss 0.1267430099331721 epoch: 1910 Epoch 1910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1910With loss 0.1267430099331721 epoch: 1911 Epoch 1911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1911With loss 0.1267430099331721 epoch: 1912 Epoch 1912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1912With loss 0.1267430099331721 epoch: 1913 Epoch 1913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1913With loss 0.1267430099331721 epoch: 1914 Epoch 1914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1914With loss 0.1267430099331721 epoch: 1915 Epoch 1915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1915With loss 0.1267430099331721 epoch: 1916 Epoch 1916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1916With loss 0.1267430099331721 epoch: 1917 Epoch 1917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1917With loss 0.1267430099331721 epoch: 1918 Epoch 1918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1918With loss 0.1267430099331721 epoch: 1919 Epoch 1919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1919With loss 0.1267430099331721 epoch: 1920 Epoch 1920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1920With loss 0.1267430099331721 epoch: 1921 Epoch 1921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1921With loss 0.1267430099331721 epoch: 1922 Epoch 1922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1922With loss 0.1267430099331721 epoch: 1923 Epoch 1923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1923With loss 0.1267430099331721 epoch: 1924 Epoch 1924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1924With loss 0.1267430099331721 epoch: 1925 Epoch 1925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1925With loss 0.1267430099331721 epoch: 1926 Epoch 1926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1926With loss 0.1267430099331721 epoch: 1927 Epoch 1927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1927With loss 0.1267430099331721 epoch: 1928 Epoch 1928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1928With loss 0.1267430099331721 epoch: 1929 Epoch 1929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1929With loss 0.1267430099331721 epoch: 1930 Epoch 1930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1930With loss 0.1267430099331721 epoch: 1931 Epoch 1931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1931With loss 0.1267430099331721 epoch: 1932 Epoch 1932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1932With loss 0.1267430099331721 epoch: 1933 Epoch 1933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1933With loss 0.1267430099331721 epoch: 1934 Epoch 1934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1934With loss 0.1267430099331721 epoch: 1935 Epoch 1935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1935With loss 0.1267430099331721 epoch: 1936 Epoch 1936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1936With loss 0.1267430099331721 epoch: 1937 Epoch 1937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1937With loss 0.1267430099331721 epoch: 1938 Epoch 1938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1938With loss 0.1267430099331721 epoch: 1939 Epoch 1939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1939With loss 0.1267430099331721 epoch: 1940 Epoch 1940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1940With loss 0.1267430099331721 epoch: 1941 Epoch 1941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1941With loss 0.1267430099331721 epoch: 1942 Epoch 1942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1942With loss 0.1267430099331721 epoch: 1943 Epoch 1943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1943With loss 0.1267430099331721 epoch: 1944 Epoch 1944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1944With loss 0.1267430099331721 epoch: 1945 Epoch 1945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1945With loss 0.1267430099331721 epoch: 1946 Epoch 1946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1946With loss 0.1267430099331721 epoch: 1947 Epoch 1947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1947With loss 0.1267430099331721 epoch: 1948 Epoch 1948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1948With loss 0.1267430099331721 epoch: 1949 Epoch 1949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1949With loss 0.1267430099331721 epoch: 1950 Epoch 1950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1950With loss 0.1267430099331721 epoch: 1951 Epoch 1951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1951With loss 0.1267430099331721 epoch: 1952 Epoch 1952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1952With loss 0.1267430099331721 epoch: 1953 Epoch 1953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1953With loss 0.1267430099331721 epoch: 1954 Epoch 1954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1954With loss 0.1267430099331721 epoch: 1955 Epoch 1955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1955With loss 0.1267430099331721 epoch: 1956 Epoch 1956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1956With loss 0.1267430099331721 epoch: 1957 Epoch 1957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1957With loss 0.1267430099331721 epoch: 1958 Epoch 1958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1958With loss 0.1267430099331721 epoch: 1959 Epoch 1959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1959With loss 0.1267430099331721 epoch: 1960 Epoch 1960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1960With loss 0.1267430099331721 epoch: 1961 Epoch 1961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1961With loss 0.1267430099331721 epoch: 1962 Epoch 1962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1962With loss 0.1267430099331721 epoch: 1963 Epoch 1963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1963With loss 0.1267430099331721 epoch: 1964 Epoch 1964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1964With loss 0.1267430099331721 epoch: 1965 Epoch 1965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1965With loss 0.1267430099331721 epoch: 1966 Epoch 1966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1966With loss 0.1267430099331721 epoch: 1967 Epoch 1967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1967With loss 0.1267430099331721 epoch: 1968 Epoch 1968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1968With loss 0.1267430099331721 epoch: 1969 Epoch 1969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1969With loss 0.1267430099331721 epoch: 1970 Epoch 1970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1970With loss 0.1267430099331721 epoch: 1971 Epoch 1971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1971With loss 0.1267430099331721 epoch: 1972 Epoch 1972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1972With loss 0.1267430099331721 epoch: 1973 Epoch 1973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1973With loss 0.1267430099331721 epoch: 1974 Epoch 1974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1974With loss 0.1267430099331721 epoch: 1975 Epoch 1975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1975With loss 0.1267430099331721 epoch: 1976 Epoch 1976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1976With loss 0.1267430099331721 epoch: 1977 Epoch 1977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1977With loss 0.1267430099331721 epoch: 1978 Epoch 1978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1978With loss 0.1267430099331721 epoch: 1979 Epoch 1979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1979With loss 0.1267430099331721 epoch: 1980 Epoch 1980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1980With loss 0.1267430099331721 epoch: 1981 Epoch 1981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1981With loss 0.1267430099331721 epoch: 1982 Epoch 1982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1982With loss 0.1267430099331721 epoch: 1983 Epoch 1983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1983With loss 0.1267430099331721 epoch: 1984 Epoch 1984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1984With loss 0.1267430099331721 epoch: 1985 Epoch 1985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1985With loss 0.1267430099331721 epoch: 1986 Epoch 1986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1986With loss 0.1267430099331721 epoch: 1987 Epoch 1987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1987With loss 0.1267430099331721 epoch: 1988 Epoch 1988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1988With loss 0.1267430099331721 epoch: 1989 Epoch 1989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1989With loss 0.1267430099331721 epoch: 1990 Epoch 1990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1990With loss 0.1267430099331721 epoch: 1991 Epoch 1991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1991With loss 0.1267430099331721 epoch: 1992 Epoch 1992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1992With loss 0.1267430099331721 epoch: 1993 Epoch 1993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1993With loss 0.1267430099331721 epoch: 1994 Epoch 1994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1994With loss 0.1267430099331721 epoch: 1995 Epoch 1995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1995With loss 0.1267430099331721 epoch: 1996 Epoch 1996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1996With loss 0.1267430099331721 epoch: 1997 Epoch 1997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1997With loss 0.1267430099331721 epoch: 1998 Epoch 1998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1998With loss 0.1267430099331721 epoch: 1999 Epoch 1999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 1999With loss 0.1267430099331721 epoch: 2000 Epoch 2000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2000With loss 0.1267430099331721 epoch: 2001 Epoch 2001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2001With loss 0.1267430099331721 epoch: 2002 Epoch 2002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2002With loss 0.1267430099331721 epoch: 2003 Epoch 2003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2003With loss 0.1267430099331721 epoch: 2004 Epoch 2004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2004With loss 0.1267430099331721 epoch: 2005 Epoch 2005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2005With loss 0.1267430099331721 epoch: 2006 Epoch 2006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2006With loss 0.1267430099331721 epoch: 2007 Epoch 2007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2007With loss 0.1267430099331721 epoch: 2008 Epoch 2008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2008With loss 0.1267430099331721 epoch: 2009 Epoch 2009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2009With loss 0.1267430099331721 epoch: 2010 Epoch 2010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2010With loss 0.1267430099331721 epoch: 2011 Epoch 2011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2011With loss 0.1267430099331721 epoch: 2012 Epoch 2012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2012With loss 0.1267430099331721 epoch: 2013 Epoch 2013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2013With loss 0.1267430099331721 epoch: 2014 Epoch 2014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2014With loss 0.1267430099331721 epoch: 2015 Epoch 2015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2015With loss 0.1267430099331721 epoch: 2016 Epoch 2016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2016With loss 0.1267430099331721 epoch: 2017 Epoch 2017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2017With loss 0.1267430099331721 epoch: 2018 Epoch 2018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2018With loss 0.1267430099331721 epoch: 2019 Epoch 2019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2019With loss 0.1267430099331721 epoch: 2020 Epoch 2020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2020With loss 0.1267430099331721 epoch: 2021 Epoch 2021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2021With loss 0.1267430099331721 epoch: 2022 Epoch 2022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2022With loss 0.1267430099331721 epoch: 2023 Epoch 2023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2023With loss 0.1267430099331721 epoch: 2024 Epoch 2024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2024With loss 0.1267430099331721 epoch: 2025 Epoch 2025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2025With loss 0.1267430099331721 epoch: 2026 Epoch 2026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2026With loss 0.1267430099331721 epoch: 2027 Epoch 2027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2027With loss 0.1267430099331721 epoch: 2028 Epoch 2028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2028With loss 0.1267430099331721 epoch: 2029 Epoch 2029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2029With loss 0.1267430099331721 epoch: 2030 Epoch 2030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2030With loss 0.1267430099331721 epoch: 2031 Epoch 2031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2031With loss 0.1267430099331721 epoch: 2032 Epoch 2032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2032With loss 0.1267430099331721 epoch: 2033 Epoch 2033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2033With loss 0.1267430099331721 epoch: 2034 Epoch 2034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2034With loss 0.1267430099331721 epoch: 2035 Epoch 2035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2035With loss 0.1267430099331721 epoch: 2036 Epoch 2036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2036With loss 0.1267430099331721 epoch: 2037 Epoch 2037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2037With loss 0.1267430099331721 epoch: 2038 Epoch 2038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2038With loss 0.1267430099331721 epoch: 2039 Epoch 2039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2039With loss 0.1267430099331721 epoch: 2040 Epoch 2040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2040With loss 0.1267430099331721 epoch: 2041 Epoch 2041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2041With loss 0.1267430099331721 epoch: 2042 Epoch 2042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2042With loss 0.1267430099331721 epoch: 2043 Epoch 2043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2043With loss 0.1267430099331721 epoch: 2044 Epoch 2044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2044With loss 0.1267430099331721 epoch: 2045 Epoch 2045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2045With loss 0.1267430099331721 epoch: 2046 Epoch 2046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2046With loss 0.1267430099331721 epoch: 2047 Epoch 2047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2047With loss 0.1267430099331721 epoch: 2048 Epoch 2048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2048With loss 0.1267430099331721 epoch: 2049 Epoch 2049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2049With loss 0.1267430099331721 epoch: 2050 Epoch 2050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2050With loss 0.1267430099331721 epoch: 2051 Epoch 2051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2051With loss 0.1267430099331721 epoch: 2052 Epoch 2052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2052With loss 0.1267430099331721 epoch: 2053 Epoch 2053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2053With loss 0.1267430099331721 epoch: 2054 Epoch 2054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2054With loss 0.1267430099331721 epoch: 2055 Epoch 2055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2055With loss 0.1267430099331721 epoch: 2056 Epoch 2056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2056With loss 0.1267430099331721 epoch: 2057 Epoch 2057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2057With loss 0.1267430099331721 epoch: 2058 Epoch 2058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2058With loss 0.1267430099331721 epoch: 2059 Epoch 2059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2059With loss 0.1267430099331721 epoch: 2060 Epoch 2060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2060With loss 0.1267430099331721 epoch: 2061 Epoch 2061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2061With loss 0.1267430099331721 epoch: 2062 Epoch 2062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2062With loss 0.1267430099331721 epoch: 2063 Epoch 2063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2063With loss 0.1267430099331721 epoch: 2064 Epoch 2064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2064With loss 0.1267430099331721 epoch: 2065 Epoch 2065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2065With loss 0.1267430099331721 epoch: 2066 Epoch 2066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2066With loss 0.1267430099331721 epoch: 2067 Epoch 2067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2067With loss 0.1267430099331721 epoch: 2068 Epoch 2068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2068With loss 0.1267430099331721 epoch: 2069 Epoch 2069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2069With loss 0.1267430099331721 epoch: 2070 Epoch 2070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2070With loss 0.1267430099331721 epoch: 2071 Epoch 2071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2071With loss 0.1267430099331721 epoch: 2072 Epoch 2072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2072With loss 0.1267430099331721 epoch: 2073 Epoch 2073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2073With loss 0.1267430099331721 epoch: 2074 Epoch 2074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2074With loss 0.1267430099331721 epoch: 2075 Epoch 2075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2075With loss 0.1267430099331721 epoch: 2076 Epoch 2076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2076With loss 0.1267430099331721 epoch: 2077 Epoch 2077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2077With loss 0.1267430099331721 epoch: 2078 Epoch 2078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2078With loss 0.1267430099331721 epoch: 2079 Epoch 2079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2079With loss 0.1267430099331721 epoch: 2080 Epoch 2080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2080With loss 0.1267430099331721 epoch: 2081 Epoch 2081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2081With loss 0.1267430099331721 epoch: 2082 Epoch 2082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2082With loss 0.1267430099331721 epoch: 2083 Epoch 2083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2083With loss 0.1267430099331721 epoch: 2084 Epoch 2084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2084With loss 0.1267430099331721 epoch: 2085 Epoch 2085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2085With loss 0.1267430099331721 epoch: 2086 Epoch 2086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2086With loss 0.1267430099331721 epoch: 2087 Epoch 2087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2087With loss 0.1267430099331721 epoch: 2088 Epoch 2088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2088With loss 0.1267430099331721 epoch: 2089 Epoch 2089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2089With loss 0.1267430099331721 epoch: 2090 Epoch 2090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2090With loss 0.1267430099331721 epoch: 2091 Epoch 2091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2091With loss 0.1267430099331721 epoch: 2092 Epoch 2092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2092With loss 0.1267430099331721 epoch: 2093 Epoch 2093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2093With loss 0.1267430099331721 epoch: 2094 Epoch 2094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2094With loss 0.1267430099331721 epoch: 2095 Epoch 2095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2095With loss 0.1267430099331721 epoch: 2096 Epoch 2096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2096With loss 0.1267430099331721 epoch: 2097 Epoch 2097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2097With loss 0.1267430099331721 epoch: 2098 Epoch 2098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2098With loss 0.1267430099331721 epoch: 2099 Epoch 2099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2099With loss 0.1267430099331721 epoch: 2100 Epoch 2100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2100With loss 0.1267430099331721 epoch: 2101 Epoch 2101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2101With loss 0.1267430099331721 epoch: 2102 Epoch 2102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2102With loss 0.1267430099331721 epoch: 2103 Epoch 2103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2103With loss 0.1267430099331721 epoch: 2104 Epoch 2104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2104With loss 0.1267430099331721 epoch: 2105 Epoch 2105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2105With loss 0.1267430099331721 epoch: 2106 Epoch 2106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2106With loss 0.1267430099331721 epoch: 2107 Epoch 2107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2107With loss 0.1267430099331721 epoch: 2108 Epoch 2108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2108With loss 0.1267430099331721 epoch: 2109 Epoch 2109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2109With loss 0.1267430099331721 epoch: 2110 Epoch 2110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2110With loss 0.1267430099331721 epoch: 2111 Epoch 2111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2111With loss 0.1267430099331721 epoch: 2112 Epoch 2112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2112With loss 0.1267430099331721 epoch: 2113 Epoch 2113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2113With loss 0.1267430099331721 epoch: 2114 Epoch 2114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2114With loss 0.1267430099331721 epoch: 2115 Epoch 2115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2115With loss 0.1267430099331721 epoch: 2116 Epoch 2116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2116With loss 0.1267430099331721 epoch: 2117 Epoch 2117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2117With loss 0.1267430099331721 epoch: 2118 Epoch 2118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2118With loss 0.1267430099331721 epoch: 2119 Epoch 2119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2119With loss 0.1267430099331721 epoch: 2120 Epoch 2120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2120With loss 0.1267430099331721 epoch: 2121 Epoch 2121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2121With loss 0.1267430099331721 epoch: 2122 Epoch 2122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2122With loss 0.1267430099331721 epoch: 2123 Epoch 2123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2123With loss 0.1267430099331721 epoch: 2124 Epoch 2124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2124With loss 0.1267430099331721 epoch: 2125 Epoch 2125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2125With loss 0.1267430099331721 epoch: 2126 Epoch 2126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2126With loss 0.1267430099331721 epoch: 2127 Epoch 2127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2127With loss 0.1267430099331721 epoch: 2128 Epoch 2128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2128With loss 0.1267430099331721 epoch: 2129 Epoch 2129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2129With loss 0.1267430099331721 epoch: 2130 Epoch 2130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2130With loss 0.1267430099331721 epoch: 2131 Epoch 2131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2131With loss 0.1267430099331721 epoch: 2132 Epoch 2132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2132With loss 0.1267430099331721 epoch: 2133 Epoch 2133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2133With loss 0.1267430099331721 epoch: 2134 Epoch 2134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2134With loss 0.1267430099331721 epoch: 2135 Epoch 2135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2135With loss 0.1267430099331721 epoch: 2136 Epoch 2136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2136With loss 0.1267430099331721 epoch: 2137 Epoch 2137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2137With loss 0.1267430099331721 epoch: 2138 Epoch 2138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2138With loss 0.1267430099331721 epoch: 2139 Epoch 2139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2139With loss 0.1267430099331721 epoch: 2140 Epoch 2140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2140With loss 0.1267430099331721 epoch: 2141 Epoch 2141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2141With loss 0.1267430099331721 epoch: 2142 Epoch 2142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2142With loss 0.1267430099331721 epoch: 2143 Epoch 2143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2143With loss 0.1267430099331721 epoch: 2144 Epoch 2144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2144With loss 0.1267430099331721 epoch: 2145 Epoch 2145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2145With loss 0.1267430099331721 epoch: 2146 Epoch 2146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2146With loss 0.1267430099331721 epoch: 2147 Epoch 2147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2147With loss 0.1267430099331721 epoch: 2148 Epoch 2148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2148With loss 0.1267430099331721 epoch: 2149 Epoch 2149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2149With loss 0.1267430099331721 epoch: 2150 Epoch 2150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2150With loss 0.1267430099331721 epoch: 2151 Epoch 2151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2151With loss 0.1267430099331721 epoch: 2152 Epoch 2152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2152With loss 0.1267430099331721 epoch: 2153 Epoch 2153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2153With loss 0.1267430099331721 epoch: 2154 Epoch 2154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2154With loss 0.1267430099331721 epoch: 2155 Epoch 2155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2155With loss 0.1267430099331721 epoch: 2156 Epoch 2156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2156With loss 0.1267430099331721 epoch: 2157 Epoch 2157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2157With loss 0.1267430099331721 epoch: 2158 Epoch 2158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2158With loss 0.1267430099331721 epoch: 2159 Epoch 2159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2159With loss 0.1267430099331721 epoch: 2160 Epoch 2160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2160With loss 0.1267430099331721 epoch: 2161 Epoch 2161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2161With loss 0.1267430099331721 epoch: 2162 Epoch 2162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2162With loss 0.1267430099331721 epoch: 2163 Epoch 2163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2163With loss 0.1267430099331721 epoch: 2164 Epoch 2164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2164With loss 0.1267430099331721 epoch: 2165 Epoch 2165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2165With loss 0.1267430099331721 epoch: 2166 Epoch 2166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2166With loss 0.1267430099331721 epoch: 2167 Epoch 2167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2167With loss 0.1267430099331721 epoch: 2168 Epoch 2168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2168With loss 0.1267430099331721 epoch: 2169 Epoch 2169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2169With loss 0.1267430099331721 epoch: 2170 Epoch 2170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2170With loss 0.1267430099331721 epoch: 2171 Epoch 2171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2171With loss 0.1267430099331721 epoch: 2172 Epoch 2172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2172With loss 0.1267430099331721 epoch: 2173 Epoch 2173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2173With loss 0.1267430099331721 epoch: 2174 Epoch 2174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2174With loss 0.1267430099331721 epoch: 2175 Epoch 2175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2175With loss 0.1267430099331721 epoch: 2176 Epoch 2176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2176With loss 0.1267430099331721 epoch: 2177 Epoch 2177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2177With loss 0.1267430099331721 epoch: 2178 Epoch 2178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2178With loss 0.1267430099331721 epoch: 2179 Epoch 2179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2179With loss 0.1267430099331721 epoch: 2180 Epoch 2180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2180With loss 0.1267430099331721 epoch: 2181 Epoch 2181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2181With loss 0.1267430099331721 epoch: 2182 Epoch 2182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2182With loss 0.1267430099331721 epoch: 2183 Epoch 2183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2183With loss 0.1267430099331721 epoch: 2184 Epoch 2184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2184With loss 0.1267430099331721 epoch: 2185 Epoch 2185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2185With loss 0.1267430099331721 epoch: 2186 Epoch 2186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2186With loss 0.1267430099331721 epoch: 2187 Epoch 2187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2187With loss 0.1267430099331721 epoch: 2188 Epoch 2188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2188With loss 0.1267430099331721 epoch: 2189 Epoch 2189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2189With loss 0.1267430099331721 epoch: 2190 Epoch 2190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2190With loss 0.1267430099331721 epoch: 2191 Epoch 2191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2191With loss 0.1267430099331721 epoch: 2192 Epoch 2192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2192With loss 0.1267430099331721 epoch: 2193 Epoch 2193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2193With loss 0.1267430099331721 epoch: 2194 Epoch 2194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2194With loss 0.1267430099331721 epoch: 2195 Epoch 2195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2195With loss 0.1267430099331721 epoch: 2196 Epoch 2196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2196With loss 0.1267430099331721 epoch: 2197 Epoch 2197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2197With loss 0.1267430099331721 epoch: 2198 Epoch 2198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2198With loss 0.1267430099331721 epoch: 2199 Epoch 2199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2199With loss 0.1267430099331721 epoch: 2200 Epoch 2200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2200With loss 0.1267430099331721 epoch: 2201 Epoch 2201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2201With loss 0.1267430099331721 epoch: 2202 Epoch 2202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2202With loss 0.1267430099331721 epoch: 2203 Epoch 2203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2203With loss 0.1267430099331721 epoch: 2204 Epoch 2204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2204With loss 0.1267430099331721 epoch: 2205 Epoch 2205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2205With loss 0.1267430099331721 epoch: 2206 Epoch 2206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2206With loss 0.1267430099331721 epoch: 2207 Epoch 2207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2207With loss 0.1267430099331721 epoch: 2208 Epoch 2208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2208With loss 0.1267430099331721 epoch: 2209 Epoch 2209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2209With loss 0.1267430099331721 epoch: 2210 Epoch 2210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2210With loss 0.1267430099331721 epoch: 2211 Epoch 2211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2211With loss 0.1267430099331721 epoch: 2212 Epoch 2212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2212With loss 0.1267430099331721 epoch: 2213 Epoch 2213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2213With loss 0.1267430099331721 epoch: 2214 Epoch 2214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2214With loss 0.1267430099331721 epoch: 2215 Epoch 2215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2215With loss 0.1267430099331721 epoch: 2216 Epoch 2216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2216With loss 0.1267430099331721 epoch: 2217 Epoch 2217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2217With loss 0.1267430099331721 epoch: 2218 Epoch 2218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2218With loss 0.1267430099331721 epoch: 2219 Epoch 2219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2219With loss 0.1267430099331721 epoch: 2220 Epoch 2220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2220With loss 0.1267430099331721 epoch: 2221 Epoch 2221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2221With loss 0.1267430099331721 epoch: 2222 Epoch 2222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2222With loss 0.1267430099331721 epoch: 2223 Epoch 2223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2223With loss 0.1267430099331721 epoch: 2224 Epoch 2224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2224With loss 0.1267430099331721 epoch: 2225 Epoch 2225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2225With loss 0.1267430099331721 epoch: 2226 Epoch 2226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2226With loss 0.1267430099331721 epoch: 2227 Epoch 2227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2227With loss 0.1267430099331721 epoch: 2228 Epoch 2228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2228With loss 0.1267430099331721 epoch: 2229 Epoch 2229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2229With loss 0.1267430099331721 epoch: 2230 Epoch 2230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2230With loss 0.1267430099331721 epoch: 2231 Epoch 2231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2231With loss 0.1267430099331721 epoch: 2232 Epoch 2232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2232With loss 0.1267430099331721 epoch: 2233 Epoch 2233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2233With loss 0.1267430099331721 epoch: 2234 Epoch 2234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2234With loss 0.1267430099331721 epoch: 2235 Epoch 2235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2235With loss 0.1267430099331721 epoch: 2236 Epoch 2236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2236With loss 0.1267430099331721 epoch: 2237 Epoch 2237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2237With loss 0.1267430099331721 epoch: 2238 Epoch 2238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2238With loss 0.1267430099331721 epoch: 2239 Epoch 2239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2239With loss 0.1267430099331721 epoch: 2240 Epoch 2240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2240With loss 0.1267430099331721 epoch: 2241 Epoch 2241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2241With loss 0.1267430099331721 epoch: 2242 Epoch 2242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2242With loss 0.1267430099331721 epoch: 2243 Epoch 2243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2243With loss 0.1267430099331721 epoch: 2244 Epoch 2244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2244With loss 0.1267430099331721 epoch: 2245 Epoch 2245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2245With loss 0.1267430099331721 epoch: 2246 Epoch 2246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2246With loss 0.1267430099331721 epoch: 2247 Epoch 2247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2247With loss 0.1267430099331721 epoch: 2248 Epoch 2248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2248With loss 0.1267430099331721 epoch: 2249 Epoch 2249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2249With loss 0.1267430099331721 epoch: 2250 Epoch 2250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2250With loss 0.1267430099331721 epoch: 2251 Epoch 2251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2251With loss 0.1267430099331721 epoch: 2252 Epoch 2252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2252With loss 0.1267430099331721 epoch: 2253 Epoch 2253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2253With loss 0.1267430099331721 epoch: 2254 Epoch 2254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2254With loss 0.1267430099331721 epoch: 2255 Epoch 2255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2255With loss 0.1267430099331721 epoch: 2256 Epoch 2256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2256With loss 0.1267430099331721 epoch: 2257 Epoch 2257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2257With loss 0.1267430099331721 epoch: 2258 Epoch 2258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2258With loss 0.1267430099331721 epoch: 2259 Epoch 2259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2259With loss 0.1267430099331721 epoch: 2260 Epoch 2260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2260With loss 0.1267430099331721 epoch: 2261 Epoch 2261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2261With loss 0.1267430099331721 epoch: 2262 Epoch 2262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2262With loss 0.1267430099331721 epoch: 2263 Epoch 2263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2263With loss 0.1267430099331721 epoch: 2264 Epoch 2264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2264With loss 0.1267430099331721 epoch: 2265 Epoch 2265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2265With loss 0.1267430099331721 epoch: 2266 Epoch 2266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2266With loss 0.1267430099331721 epoch: 2267 Epoch 2267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2267With loss 0.1267430099331721 epoch: 2268 Epoch 2268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2268With loss 0.1267430099331721 epoch: 2269 Epoch 2269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2269With loss 0.1267430099331721 epoch: 2270 Epoch 2270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2270With loss 0.1267430099331721 epoch: 2271 Epoch 2271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2271With loss 0.1267430099331721 epoch: 2272 Epoch 2272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2272With loss 0.1267430099331721 epoch: 2273 Epoch 2273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2273With loss 0.1267430099331721 epoch: 2274 Epoch 2274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2274With loss 0.1267430099331721 epoch: 2275 Epoch 2275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2275With loss 0.1267430099331721 epoch: 2276 Epoch 2276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2276With loss 0.1267430099331721 epoch: 2277 Epoch 2277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2277With loss 0.1267430099331721 epoch: 2278 Epoch 2278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2278With loss 0.1267430099331721 epoch: 2279 Epoch 2279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2279With loss 0.1267430099331721 epoch: 2280 Epoch 2280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2280With loss 0.1267430099331721 epoch: 2281 Epoch 2281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2281With loss 0.1267430099331721 epoch: 2282 Epoch 2282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2282With loss 0.1267430099331721 epoch: 2283 Epoch 2283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2283With loss 0.1267430099331721 epoch: 2284 Epoch 2284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2284With loss 0.1267430099331721 epoch: 2285 Epoch 2285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2285With loss 0.1267430099331721 epoch: 2286 Epoch 2286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2286With loss 0.1267430099331721 epoch: 2287 Epoch 2287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2287With loss 0.1267430099331721 epoch: 2288 Epoch 2288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2288With loss 0.1267430099331721 epoch: 2289 Epoch 2289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2289With loss 0.1267430099331721 epoch: 2290 Epoch 2290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2290With loss 0.1267430099331721 epoch: 2291 Epoch 2291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2291With loss 0.1267430099331721 epoch: 2292 Epoch 2292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2292With loss 0.1267430099331721 epoch: 2293 Epoch 2293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2293With loss 0.1267430099331721 epoch: 2294 Epoch 2294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2294With loss 0.1267430099331721 epoch: 2295 Epoch 2295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2295With loss 0.1267430099331721 epoch: 2296 Epoch 2296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2296With loss 0.1267430099331721 epoch: 2297 Epoch 2297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2297With loss 0.1267430099331721 epoch: 2298 Epoch 2298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2298With loss 0.1267430099331721 epoch: 2299 Epoch 2299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2299With loss 0.1267430099331721 epoch: 2300 Epoch 2300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2300With loss 0.1267430099331721 epoch: 2301 Epoch 2301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2301With loss 0.1267430099331721 epoch: 2302 Epoch 2302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2302With loss 0.1267430099331721 epoch: 2303 Epoch 2303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2303With loss 0.1267430099331721 epoch: 2304 Epoch 2304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2304With loss 0.1267430099331721 epoch: 2305 Epoch 2305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2305With loss 0.1267430099331721 epoch: 2306 Epoch 2306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2306With loss 0.1267430099331721 epoch: 2307 Epoch 2307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2307With loss 0.1267430099331721 epoch: 2308 Epoch 2308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2308With loss 0.1267430099331721 epoch: 2309 Epoch 2309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2309With loss 0.1267430099331721 epoch: 2310 Epoch 2310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2310With loss 0.1267430099331721 epoch: 2311 Epoch 2311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2311With loss 0.1267430099331721 epoch: 2312 Epoch 2312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2312With loss 0.1267430099331721 epoch: 2313 Epoch 2313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2313With loss 0.1267430099331721 epoch: 2314 Epoch 2314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2314With loss 0.1267430099331721 epoch: 2315 Epoch 2315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2315With loss 0.1267430099331721 epoch: 2316 Epoch 2316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2316With loss 0.1267430099331721 epoch: 2317 Epoch 2317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2317With loss 0.1267430099331721 epoch: 2318 Epoch 2318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2318With loss 0.1267430099331721 epoch: 2319 Epoch 2319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2319With loss 0.1267430099331721 epoch: 2320 Epoch 2320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2320With loss 0.1267430099331721 epoch: 2321 Epoch 2321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2321With loss 0.1267430099331721 epoch: 2322 Epoch 2322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2322With loss 0.1267430099331721 epoch: 2323 Epoch 2323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2323With loss 0.1267430099331721 epoch: 2324 Epoch 2324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2324With loss 0.1267430099331721 epoch: 2325 Epoch 2325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2325With loss 0.1267430099331721 epoch: 2326 Epoch 2326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2326With loss 0.1267430099331721 epoch: 2327 Epoch 2327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2327With loss 0.1267430099331721 epoch: 2328 Epoch 2328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2328With loss 0.1267430099331721 epoch: 2329 Epoch 2329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2329With loss 0.1267430099331721 epoch: 2330 Epoch 2330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2330With loss 0.1267430099331721 epoch: 2331 Epoch 2331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2331With loss 0.1267430099331721 epoch: 2332 Epoch 2332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2332With loss 0.1267430099331721 epoch: 2333 Epoch 2333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2333With loss 0.1267430099331721 epoch: 2334 Epoch 2334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2334With loss 0.1267430099331721 epoch: 2335 Epoch 2335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2335With loss 0.1267430099331721 epoch: 2336 Epoch 2336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2336With loss 0.1267430099331721 epoch: 2337 Epoch 2337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2337With loss 0.1267430099331721 epoch: 2338 Epoch 2338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2338With loss 0.1267430099331721 epoch: 2339 Epoch 2339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2339With loss 0.1267430099331721 epoch: 2340 Epoch 2340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2340With loss 0.1267430099331721 epoch: 2341 Epoch 2341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2341With loss 0.1267430099331721 epoch: 2342 Epoch 2342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2342With loss 0.1267430099331721 epoch: 2343 Epoch 2343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2343With loss 0.1267430099331721 epoch: 2344 Epoch 2344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2344With loss 0.1267430099331721 epoch: 2345 Epoch 2345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2345With loss 0.1267430099331721 epoch: 2346 Epoch 2346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2346With loss 0.1267430099331721 epoch: 2347 Epoch 2347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2347With loss 0.1267430099331721 epoch: 2348 Epoch 2348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2348With loss 0.1267430099331721 epoch: 2349 Epoch 2349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2349With loss 0.1267430099331721 epoch: 2350 Epoch 2350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2350With loss 0.1267430099331721 epoch: 2351 Epoch 2351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2351With loss 0.1267430099331721 epoch: 2352 Epoch 2352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2352With loss 0.1267430099331721 epoch: 2353 Epoch 2353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2353With loss 0.1267430099331721 epoch: 2354 Epoch 2354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2354With loss 0.1267430099331721 epoch: 2355 Epoch 2355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2355With loss 0.1267430099331721 epoch: 2356 Epoch 2356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2356With loss 0.1267430099331721 epoch: 2357 Epoch 2357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2357With loss 0.1267430099331721 epoch: 2358 Epoch 2358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2358With loss 0.1267430099331721 epoch: 2359 Epoch 2359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2359With loss 0.1267430099331721 epoch: 2360 Epoch 2360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2360With loss 0.1267430099331721 epoch: 2361 Epoch 2361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2361With loss 0.1267430099331721 epoch: 2362 Epoch 2362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2362With loss 0.1267430099331721 epoch: 2363 Epoch 2363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2363With loss 0.1267430099331721 epoch: 2364 Epoch 2364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2364With loss 0.1267430099331721 epoch: 2365 Epoch 2365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2365With loss 0.1267430099331721 epoch: 2366 Epoch 2366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2366With loss 0.1267430099331721 epoch: 2367 Epoch 2367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2367With loss 0.1267430099331721 epoch: 2368 Epoch 2368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2368With loss 0.1267430099331721 epoch: 2369 Epoch 2369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2369With loss 0.1267430099331721 epoch: 2370 Epoch 2370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2370With loss 0.1267430099331721 epoch: 2371 Epoch 2371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2371With loss 0.1267430099331721 epoch: 2372 Epoch 2372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2372With loss 0.1267430099331721 epoch: 2373 Epoch 2373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2373With loss 0.1267430099331721 epoch: 2374 Epoch 2374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2374With loss 0.1267430099331721 epoch: 2375 Epoch 2375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2375With loss 0.1267430099331721 epoch: 2376 Epoch 2376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2376With loss 0.1267430099331721 epoch: 2377 Epoch 2377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2377With loss 0.1267430099331721 epoch: 2378 Epoch 2378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2378With loss 0.1267430099331721 epoch: 2379 Epoch 2379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2379With loss 0.1267430099331721 epoch: 2380 Epoch 2380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2380With loss 0.1267430099331721 epoch: 2381 Epoch 2381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2381With loss 0.1267430099331721 epoch: 2382 Epoch 2382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2382With loss 0.1267430099331721 epoch: 2383 Epoch 2383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2383With loss 0.1267430099331721 epoch: 2384 Epoch 2384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2384With loss 0.1267430099331721 epoch: 2385 Epoch 2385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2385With loss 0.1267430099331721 epoch: 2386 Epoch 2386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2386With loss 0.1267430099331721 epoch: 2387 Epoch 2387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2387With loss 0.1267430099331721 epoch: 2388 Epoch 2388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2388With loss 0.1267430099331721 epoch: 2389 Epoch 2389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2389With loss 0.1267430099331721 epoch: 2390 Epoch 2390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2390With loss 0.1267430099331721 epoch: 2391 Epoch 2391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2391With loss 0.1267430099331721 epoch: 2392 Epoch 2392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2392With loss 0.1267430099331721 epoch: 2393 Epoch 2393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2393With loss 0.1267430099331721 epoch: 2394 Epoch 2394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2394With loss 0.1267430099331721 epoch: 2395 Epoch 2395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2395With loss 0.1267430099331721 epoch: 2396 Epoch 2396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2396With loss 0.1267430099331721 epoch: 2397 Epoch 2397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2397With loss 0.1267430099331721 epoch: 2398 Epoch 2398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2398With loss 0.1267430099331721 epoch: 2399 Epoch 2399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2399With loss 0.1267430099331721 epoch: 2400 Epoch 2400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2400With loss 0.1267430099331721 epoch: 2401 Epoch 2401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2401With loss 0.1267430099331721 epoch: 2402 Epoch 2402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2402With loss 0.1267430099331721 epoch: 2403 Epoch 2403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2403With loss 0.1267430099331721 epoch: 2404 Epoch 2404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2404With loss 0.1267430099331721 epoch: 2405 Epoch 2405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2405With loss 0.1267430099331721 epoch: 2406 Epoch 2406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2406With loss 0.1267430099331721 epoch: 2407 Epoch 2407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2407With loss 0.1267430099331721 epoch: 2408 Epoch 2408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2408With loss 0.1267430099331721 epoch: 2409 Epoch 2409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2409With loss 0.1267430099331721 epoch: 2410 Epoch 2410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2410With loss 0.1267430099331721 epoch: 2411 Epoch 2411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2411With loss 0.1267430099331721 epoch: 2412 Epoch 2412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2412With loss 0.1267430099331721 epoch: 2413 Epoch 2413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2413With loss 0.1267430099331721 epoch: 2414 Epoch 2414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2414With loss 0.1267430099331721 epoch: 2415 Epoch 2415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2415With loss 0.1267430099331721 epoch: 2416 Epoch 2416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2416With loss 0.1267430099331721 epoch: 2417 Epoch 2417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2417With loss 0.1267430099331721 epoch: 2418 Epoch 2418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2418With loss 0.1267430099331721 epoch: 2419 Epoch 2419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2419With loss 0.1267430099331721 epoch: 2420 Epoch 2420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2420With loss 0.1267430099331721 epoch: 2421 Epoch 2421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2421With loss 0.1267430099331721 epoch: 2422 Epoch 2422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2422With loss 0.1267430099331721 epoch: 2423 Epoch 2423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2423With loss 0.1267430099331721 epoch: 2424 Epoch 2424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2424With loss 0.1267430099331721 epoch: 2425 Epoch 2425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2425With loss 0.1267430099331721 epoch: 2426 Epoch 2426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2426With loss 0.1267430099331721 epoch: 2427 Epoch 2427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2427With loss 0.1267430099331721 epoch: 2428 Epoch 2428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2428With loss 0.1267430099331721 epoch: 2429 Epoch 2429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2429With loss 0.1267430099331721 epoch: 2430 Epoch 2430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2430With loss 0.1267430099331721 epoch: 2431 Epoch 2431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2431With loss 0.1267430099331721 epoch: 2432 Epoch 2432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2432With loss 0.1267430099331721 epoch: 2433 Epoch 2433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2433With loss 0.1267430099331721 epoch: 2434 Epoch 2434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2434With loss 0.1267430099331721 epoch: 2435 Epoch 2435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2435With loss 0.1267430099331721 epoch: 2436 Epoch 2436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2436With loss 0.1267430099331721 epoch: 2437 Epoch 2437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2437With loss 0.1267430099331721 epoch: 2438 Epoch 2438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2438With loss 0.1267430099331721 epoch: 2439 Epoch 2439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2439With loss 0.1267430099331721 epoch: 2440 Epoch 2440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2440With loss 0.1267430099331721 epoch: 2441 Epoch 2441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2441With loss 0.1267430099331721 epoch: 2442 Epoch 2442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2442With loss 0.1267430099331721 epoch: 2443 Epoch 2443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2443With loss 0.1267430099331721 epoch: 2444 Epoch 2444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2444With loss 0.1267430099331721 epoch: 2445 Epoch 2445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2445With loss 0.1267430099331721 epoch: 2446 Epoch 2446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2446With loss 0.1267430099331721 epoch: 2447 Epoch 2447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2447With loss 0.1267430099331721 epoch: 2448 Epoch 2448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2448With loss 0.1267430099331721 epoch: 2449 Epoch 2449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2449With loss 0.1267430099331721 epoch: 2450 Epoch 2450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2450With loss 0.1267430099331721 epoch: 2451 Epoch 2451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2451With loss 0.1267430099331721 epoch: 2452 Epoch 2452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2452With loss 0.1267430099331721 epoch: 2453 Epoch 2453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2453With loss 0.1267430099331721 epoch: 2454 Epoch 2454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2454With loss 0.1267430099331721 epoch: 2455 Epoch 2455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2455With loss 0.1267430099331721 epoch: 2456 Epoch 2456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2456With loss 0.1267430099331721 epoch: 2457 Epoch 2457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2457With loss 0.1267430099331721 epoch: 2458 Epoch 2458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2458With loss 0.1267430099331721 epoch: 2459 Epoch 2459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2459With loss 0.1267430099331721 epoch: 2460 Epoch 2460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2460With loss 0.1267430099331721 epoch: 2461 Epoch 2461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2461With loss 0.1267430099331721 epoch: 2462 Epoch 2462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2462With loss 0.1267430099331721 epoch: 2463 Epoch 2463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2463With loss 0.1267430099331721 epoch: 2464 Epoch 2464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2464With loss 0.1267430099331721 epoch: 2465 Epoch 2465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2465With loss 0.1267430099331721 epoch: 2466 Epoch 2466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2466With loss 0.1267430099331721 epoch: 2467 Epoch 2467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2467With loss 0.1267430099331721 epoch: 2468 Epoch 2468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2468With loss 0.1267430099331721 epoch: 2469 Epoch 2469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2469With loss 0.1267430099331721 epoch: 2470 Epoch 2470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2470With loss 0.1267430099331721 epoch: 2471 Epoch 2471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2471With loss 0.1267430099331721 epoch: 2472 Epoch 2472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2472With loss 0.1267430099331721 epoch: 2473 Epoch 2473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2473With loss 0.1267430099331721 epoch: 2474 Epoch 2474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2474With loss 0.1267430099331721 epoch: 2475 Epoch 2475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2475With loss 0.1267430099331721 epoch: 2476 Epoch 2476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2476With loss 0.1267430099331721 epoch: 2477 Epoch 2477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2477With loss 0.1267430099331721 epoch: 2478 Epoch 2478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2478With loss 0.1267430099331721 epoch: 2479 Epoch 2479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2479With loss 0.1267430099331721 epoch: 2480 Epoch 2480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2480With loss 0.1267430099331721 epoch: 2481 Epoch 2481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2481With loss 0.1267430099331721 epoch: 2482 Epoch 2482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2482With loss 0.1267430099331721 epoch: 2483 Epoch 2483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2483With loss 0.1267430099331721 epoch: 2484 Epoch 2484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2484With loss 0.1267430099331721 epoch: 2485 Epoch 2485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2485With loss 0.1267430099331721 epoch: 2486 Epoch 2486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2486With loss 0.1267430099331721 epoch: 2487 Epoch 2487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2487With loss 0.1267430099331721 epoch: 2488 Epoch 2488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2488With loss 0.1267430099331721 epoch: 2489 Epoch 2489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2489With loss 0.1267430099331721 epoch: 2490 Epoch 2490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2490With loss 0.1267430099331721 epoch: 2491 Epoch 2491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2491With loss 0.1267430099331721 epoch: 2492 Epoch 2492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2492With loss 0.1267430099331721 epoch: 2493 Epoch 2493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2493With loss 0.1267430099331721 epoch: 2494 Epoch 2494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2494With loss 0.1267430099331721 epoch: 2495 Epoch 2495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2495With loss 0.1267430099331721 epoch: 2496 Epoch 2496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2496With loss 0.1267430099331721 epoch: 2497 Epoch 2497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2497With loss 0.1267430099331721 epoch: 2498 Epoch 2498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2498With loss 0.1267430099331721 epoch: 2499 Epoch 2499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2499With loss 0.1267430099331721 epoch: 2500 Epoch 2500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2500With loss 0.1267430099331721 epoch: 2501 Epoch 2501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2501With loss 0.1267430099331721 epoch: 2502 Epoch 2502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2502With loss 0.1267430099331721 epoch: 2503 Epoch 2503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2503With loss 0.1267430099331721 epoch: 2504 Epoch 2504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2504With loss 0.1267430099331721 epoch: 2505 Epoch 2505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2505With loss 0.1267430099331721 epoch: 2506 Epoch 2506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2506With loss 0.1267430099331721 epoch: 2507 Epoch 2507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2507With loss 0.1267430099331721 epoch: 2508 Epoch 2508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2508With loss 0.1267430099331721 epoch: 2509 Epoch 2509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2509With loss 0.1267430099331721 epoch: 2510 Epoch 2510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2510With loss 0.1267430099331721 epoch: 2511 Epoch 2511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2511With loss 0.1267430099331721 epoch: 2512 Epoch 2512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2512With loss 0.1267430099331721 epoch: 2513 Epoch 2513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2513With loss 0.1267430099331721 epoch: 2514 Epoch 2514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2514With loss 0.1267430099331721 epoch: 2515 Epoch 2515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2515With loss 0.1267430099331721 epoch: 2516 Epoch 2516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2516With loss 0.1267430099331721 epoch: 2517 Epoch 2517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2517With loss 0.1267430099331721 epoch: 2518 Epoch 2518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2518With loss 0.1267430099331721 epoch: 2519 Epoch 2519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2519With loss 0.1267430099331721 epoch: 2520 Epoch 2520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2520With loss 0.1267430099331721 epoch: 2521 Epoch 2521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2521With loss 0.1267430099331721 epoch: 2522 Epoch 2522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2522With loss 0.1267430099331721 epoch: 2523 Epoch 2523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2523With loss 0.1267430099331721 epoch: 2524 Epoch 2524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2524With loss 0.1267430099331721 epoch: 2525 Epoch 2525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2525With loss 0.1267430099331721 epoch: 2526 Epoch 2526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2526With loss 0.1267430099331721 epoch: 2527 Epoch 2527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2527With loss 0.1267430099331721 epoch: 2528 Epoch 2528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2528With loss 0.1267430099331721 epoch: 2529 Epoch 2529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2529With loss 0.1267430099331721 epoch: 2530 Epoch 2530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2530With loss 0.1267430099331721 epoch: 2531 Epoch 2531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2531With loss 0.1267430099331721 epoch: 2532 Epoch 2532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2532With loss 0.1267430099331721 epoch: 2533 Epoch 2533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2533With loss 0.1267430099331721 epoch: 2534 Epoch 2534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2534With loss 0.1267430099331721 epoch: 2535 Epoch 2535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2535With loss 0.1267430099331721 epoch: 2536 Epoch 2536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2536With loss 0.1267430099331721 epoch: 2537 Epoch 2537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2537With loss 0.1267430099331721 epoch: 2538 Epoch 2538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2538With loss 0.1267430099331721 epoch: 2539 Epoch 2539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2539With loss 0.1267430099331721 epoch: 2540 Epoch 2540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2540With loss 0.1267430099331721 epoch: 2541 Epoch 2541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2541With loss 0.1267430099331721 epoch: 2542 Epoch 2542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2542With loss 0.1267430099331721 epoch: 2543 Epoch 2543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2543With loss 0.1267430099331721 epoch: 2544 Epoch 2544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2544With loss 0.1267430099331721 epoch: 2545 Epoch 2545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2545With loss 0.1267430099331721 epoch: 2546 Epoch 2546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2546With loss 0.1267430099331721 epoch: 2547 Epoch 2547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2547With loss 0.1267430099331721 epoch: 2548 Epoch 2548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2548With loss 0.1267430099331721 epoch: 2549 Epoch 2549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2549With loss 0.1267430099331721 epoch: 2550 Epoch 2550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2550With loss 0.1267430099331721 epoch: 2551 Epoch 2551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2551With loss 0.1267430099331721 epoch: 2552 Epoch 2552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2552With loss 0.1267430099331721 epoch: 2553 Epoch 2553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2553With loss 0.1267430099331721 epoch: 2554 Epoch 2554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2554With loss 0.1267430099331721 epoch: 2555 Epoch 2555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2555With loss 0.1267430099331721 epoch: 2556 Epoch 2556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2556With loss 0.1267430099331721 epoch: 2557 Epoch 2557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2557With loss 0.1267430099331721 epoch: 2558 Epoch 2558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2558With loss 0.1267430099331721 epoch: 2559 Epoch 2559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2559With loss 0.1267430099331721 epoch: 2560 Epoch 2560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2560With loss 0.1267430099331721 epoch: 2561 Epoch 2561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2561With loss 0.1267430099331721 epoch: 2562 Epoch 2562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2562With loss 0.1267430099331721 epoch: 2563 Epoch 2563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2563With loss 0.1267430099331721 epoch: 2564 Epoch 2564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2564With loss 0.1267430099331721 epoch: 2565 Epoch 2565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2565With loss 0.1267430099331721 epoch: 2566 Epoch 2566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2566With loss 0.1267430099331721 epoch: 2567 Epoch 2567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2567With loss 0.1267430099331721 epoch: 2568 Epoch 2568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2568With loss 0.1267430099331721 epoch: 2569 Epoch 2569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2569With loss 0.1267430099331721 epoch: 2570 Epoch 2570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2570With loss 0.1267430099331721 epoch: 2571 Epoch 2571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2571With loss 0.1267430099331721 epoch: 2572 Epoch 2572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2572With loss 0.1267430099331721 epoch: 2573 Epoch 2573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2573With loss 0.1267430099331721 epoch: 2574 Epoch 2574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2574With loss 0.1267430099331721 epoch: 2575 Epoch 2575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2575With loss 0.1267430099331721 epoch: 2576 Epoch 2576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2576With loss 0.1267430099331721 epoch: 2577 Epoch 2577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2577With loss 0.1267430099331721 epoch: 2578 Epoch 2578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2578With loss 0.1267430099331721 epoch: 2579 Epoch 2579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2579With loss 0.1267430099331721 epoch: 2580 Epoch 2580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2580With loss 0.1267430099331721 epoch: 2581 Epoch 2581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2581With loss 0.1267430099331721 epoch: 2582 Epoch 2582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2582With loss 0.1267430099331721 epoch: 2583 Epoch 2583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2583With loss 0.1267430099331721 epoch: 2584 Epoch 2584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2584With loss 0.1267430099331721 epoch: 2585 Epoch 2585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2585With loss 0.1267430099331721 epoch: 2586 Epoch 2586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2586With loss 0.1267430099331721 epoch: 2587 Epoch 2587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2587With loss 0.1267430099331721 epoch: 2588 Epoch 2588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2588With loss 0.1267430099331721 epoch: 2589 Epoch 2589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2589With loss 0.1267430099331721 epoch: 2590 Epoch 2590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2590With loss 0.1267430099331721 epoch: 2591 Epoch 2591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2591With loss 0.1267430099331721 epoch: 2592 Epoch 2592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2592With loss 0.1267430099331721 epoch: 2593 Epoch 2593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2593With loss 0.1267430099331721 epoch: 2594 Epoch 2594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2594With loss 0.1267430099331721 epoch: 2595 Epoch 2595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2595With loss 0.1267430099331721 epoch: 2596 Epoch 2596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2596With loss 0.1267430099331721 epoch: 2597 Epoch 2597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2597With loss 0.1267430099331721 epoch: 2598 Epoch 2598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2598With loss 0.1267430099331721 epoch: 2599 Epoch 2599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2599With loss 0.1267430099331721 epoch: 2600 Epoch 2600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2600With loss 0.1267430099331721 epoch: 2601 Epoch 2601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2601With loss 0.1267430099331721 epoch: 2602 Epoch 2602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2602With loss 0.1267430099331721 epoch: 2603 Epoch 2603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2603With loss 0.1267430099331721 epoch: 2604 Epoch 2604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2604With loss 0.1267430099331721 epoch: 2605 Epoch 2605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2605With loss 0.1267430099331721 epoch: 2606 Epoch 2606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2606With loss 0.1267430099331721 epoch: 2607 Epoch 2607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2607With loss 0.1267430099331721 epoch: 2608 Epoch 2608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2608With loss 0.1267430099331721 epoch: 2609 Epoch 2609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2609With loss 0.1267430099331721 epoch: 2610 Epoch 2610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2610With loss 0.1267430099331721 epoch: 2611 Epoch 2611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2611With loss 0.1267430099331721 epoch: 2612 Epoch 2612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2612With loss 0.1267430099331721 epoch: 2613 Epoch 2613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2613With loss 0.1267430099331721 epoch: 2614 Epoch 2614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2614With loss 0.1267430099331721 epoch: 2615 Epoch 2615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2615With loss 0.1267430099331721 epoch: 2616 Epoch 2616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2616With loss 0.1267430099331721 epoch: 2617 Epoch 2617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2617With loss 0.1267430099331721 epoch: 2618 Epoch 2618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2618With loss 0.1267430099331721 epoch: 2619 Epoch 2619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2619With loss 0.1267430099331721 epoch: 2620 Epoch 2620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2620With loss 0.1267430099331721 epoch: 2621 Epoch 2621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2621With loss 0.1267430099331721 epoch: 2622 Epoch 2622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2622With loss 0.1267430099331721 epoch: 2623 Epoch 2623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2623With loss 0.1267430099331721 epoch: 2624 Epoch 2624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2624With loss 0.1267430099331721 epoch: 2625 Epoch 2625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2625With loss 0.1267430099331721 epoch: 2626 Epoch 2626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2626With loss 0.1267430099331721 epoch: 2627 Epoch 2627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2627With loss 0.1267430099331721 epoch: 2628 Epoch 2628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2628With loss 0.1267430099331721 epoch: 2629 Epoch 2629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2629With loss 0.1267430099331721 epoch: 2630 Epoch 2630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2630With loss 0.1267430099331721 epoch: 2631 Epoch 2631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2631With loss 0.1267430099331721 epoch: 2632 Epoch 2632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2632With loss 0.1267430099331721 epoch: 2633 Epoch 2633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2633With loss 0.1267430099331721 epoch: 2634 Epoch 2634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2634With loss 0.1267430099331721 epoch: 2635 Epoch 2635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2635With loss 0.1267430099331721 epoch: 2636 Epoch 2636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2636With loss 0.1267430099331721 epoch: 2637 Epoch 2637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2637With loss 0.1267430099331721 epoch: 2638 Epoch 2638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2638With loss 0.1267430099331721 epoch: 2639 Epoch 2639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2639With loss 0.1267430099331721 epoch: 2640 Epoch 2640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2640With loss 0.1267430099331721 epoch: 2641 Epoch 2641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2641With loss 0.1267430099331721 epoch: 2642 Epoch 2642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2642With loss 0.1267430099331721 epoch: 2643 Epoch 2643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2643With loss 0.1267430099331721 epoch: 2644 Epoch 2644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2644With loss 0.1267430099331721 epoch: 2645 Epoch 2645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2645With loss 0.1267430099331721 epoch: 2646 Epoch 2646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2646With loss 0.1267430099331721 epoch: 2647 Epoch 2647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2647With loss 0.1267430099331721 epoch: 2648 Epoch 2648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2648With loss 0.1267430099331721 epoch: 2649 Epoch 2649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2649With loss 0.1267430099331721 epoch: 2650 Epoch 2650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2650With loss 0.1267430099331721 epoch: 2651 Epoch 2651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2651With loss 0.1267430099331721 epoch: 2652 Epoch 2652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2652With loss 0.1267430099331721 epoch: 2653 Epoch 2653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2653With loss 0.1267430099331721 epoch: 2654 Epoch 2654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2654With loss 0.1267430099331721 epoch: 2655 Epoch 2655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2655With loss 0.1267430099331721 epoch: 2656 Epoch 2656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2656With loss 0.1267430099331721 epoch: 2657 Epoch 2657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2657With loss 0.1267430099331721 epoch: 2658 Epoch 2658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2658With loss 0.1267430099331721 epoch: 2659 Epoch 2659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2659With loss 0.1267430099331721 epoch: 2660 Epoch 2660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2660With loss 0.1267430099331721 epoch: 2661 Epoch 2661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2661With loss 0.1267430099331721 epoch: 2662 Epoch 2662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2662With loss 0.1267430099331721 epoch: 2663 Epoch 2663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2663With loss 0.1267430099331721 epoch: 2664 Epoch 2664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2664With loss 0.1267430099331721 epoch: 2665 Epoch 2665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2665With loss 0.1267430099331721 epoch: 2666 Epoch 2666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2666With loss 0.1267430099331721 epoch: 2667 Epoch 2667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2667With loss 0.1267430099331721 epoch: 2668 Epoch 2668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2668With loss 0.1267430099331721 epoch: 2669 Epoch 2669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2669With loss 0.1267430099331721 epoch: 2670 Epoch 2670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2670With loss 0.1267430099331721 epoch: 2671 Epoch 2671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2671With loss 0.1267430099331721 epoch: 2672 Epoch 2672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2672With loss 0.1267430099331721 epoch: 2673 Epoch 2673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2673With loss 0.1267430099331721 epoch: 2674 Epoch 2674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2674With loss 0.1267430099331721 epoch: 2675 Epoch 2675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2675With loss 0.1267430099331721 epoch: 2676 Epoch 2676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2676With loss 0.1267430099331721 epoch: 2677 Epoch 2677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2677With loss 0.1267430099331721 epoch: 2678 Epoch 2678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2678With loss 0.1267430099331721 epoch: 2679 Epoch 2679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2679With loss 0.1267430099331721 epoch: 2680 Epoch 2680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2680With loss 0.1267430099331721 epoch: 2681 Epoch 2681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2681With loss 0.1267430099331721 epoch: 2682 Epoch 2682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2682With loss 0.1267430099331721 epoch: 2683 Epoch 2683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2683With loss 0.1267430099331721 epoch: 2684 Epoch 2684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2684With loss 0.1267430099331721 epoch: 2685 Epoch 2685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2685With loss 0.1267430099331721 epoch: 2686 Epoch 2686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2686With loss 0.1267430099331721 epoch: 2687 Epoch 2687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2687With loss 0.1267430099331721 epoch: 2688 Epoch 2688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2688With loss 0.1267430099331721 epoch: 2689 Epoch 2689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2689With loss 0.1267430099331721 epoch: 2690 Epoch 2690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2690With loss 0.1267430099331721 epoch: 2691 Epoch 2691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2691With loss 0.1267430099331721 epoch: 2692 Epoch 2692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2692With loss 0.1267430099331721 epoch: 2693 Epoch 2693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2693With loss 0.1267430099331721 epoch: 2694 Epoch 2694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2694With loss 0.1267430099331721 epoch: 2695 Epoch 2695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2695With loss 0.1267430099331721 epoch: 2696 Epoch 2696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2696With loss 0.1267430099331721 epoch: 2697 Epoch 2697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2697With loss 0.1267430099331721 epoch: 2698 Epoch 2698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2698With loss 0.1267430099331721 epoch: 2699 Epoch 2699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2699With loss 0.1267430099331721 epoch: 2700 Epoch 2700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2700With loss 0.1267430099331721 epoch: 2701 Epoch 2701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2701With loss 0.1267430099331721 epoch: 2702 Epoch 2702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2702With loss 0.1267430099331721 epoch: 2703 Epoch 2703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2703With loss 0.1267430099331721 epoch: 2704 Epoch 2704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2704With loss 0.1267430099331721 epoch: 2705 Epoch 2705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2705With loss 0.1267430099331721 epoch: 2706 Epoch 2706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2706With loss 0.1267430099331721 epoch: 2707 Epoch 2707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2707With loss 0.1267430099331721 epoch: 2708 Epoch 2708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2708With loss 0.1267430099331721 epoch: 2709 Epoch 2709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2709With loss 0.1267430099331721 epoch: 2710 Epoch 2710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2710With loss 0.1267430099331721 epoch: 2711 Epoch 2711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2711With loss 0.1267430099331721 epoch: 2712 Epoch 2712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2712With loss 0.1267430099331721 epoch: 2713 Epoch 2713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2713With loss 0.1267430099331721 epoch: 2714 Epoch 2714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2714With loss 0.1267430099331721 epoch: 2715 Epoch 2715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2715With loss 0.1267430099331721 epoch: 2716 Epoch 2716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2716With loss 0.1267430099331721 epoch: 2717 Epoch 2717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2717With loss 0.1267430099331721 epoch: 2718 Epoch 2718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2718With loss 0.1267430099331721 epoch: 2719 Epoch 2719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2719With loss 0.1267430099331721 epoch: 2720 Epoch 2720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2720With loss 0.1267430099331721 epoch: 2721 Epoch 2721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2721With loss 0.1267430099331721 epoch: 2722 Epoch 2722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2722With loss 0.1267430099331721 epoch: 2723 Epoch 2723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2723With loss 0.1267430099331721 epoch: 2724 Epoch 2724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2724With loss 0.1267430099331721 epoch: 2725 Epoch 2725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2725With loss 0.1267430099331721 epoch: 2726 Epoch 2726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2726With loss 0.1267430099331721 epoch: 2727 Epoch 2727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2727With loss 0.1267430099331721 epoch: 2728 Epoch 2728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2728With loss 0.1267430099331721 epoch: 2729 Epoch 2729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2729With loss 0.1267430099331721 epoch: 2730 Epoch 2730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2730With loss 0.1267430099331721 epoch: 2731 Epoch 2731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2731With loss 0.1267430099331721 epoch: 2732 Epoch 2732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2732With loss 0.1267430099331721 epoch: 2733 Epoch 2733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2733With loss 0.1267430099331721 epoch: 2734 Epoch 2734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2734With loss 0.1267430099331721 epoch: 2735 Epoch 2735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2735With loss 0.1267430099331721 epoch: 2736 Epoch 2736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2736With loss 0.1267430099331721 epoch: 2737 Epoch 2737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2737With loss 0.1267430099331721 epoch: 2738 Epoch 2738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2738With loss 0.1267430099331721 epoch: 2739 Epoch 2739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2739With loss 0.1267430099331721 epoch: 2740 Epoch 2740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2740With loss 0.1267430099331721 epoch: 2741 Epoch 2741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2741With loss 0.1267430099331721 epoch: 2742 Epoch 2742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2742With loss 0.1267430099331721 epoch: 2743 Epoch 2743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2743With loss 0.1267430099331721 epoch: 2744 Epoch 2744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2744With loss 0.1267430099331721 epoch: 2745 Epoch 2745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2745With loss 0.1267430099331721 epoch: 2746 Epoch 2746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2746With loss 0.1267430099331721 epoch: 2747 Epoch 2747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2747With loss 0.1267430099331721 epoch: 2748 Epoch 2748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2748With loss 0.1267430099331721 epoch: 2749 Epoch 2749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2749With loss 0.1267430099331721 epoch: 2750 Epoch 2750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2750With loss 0.1267430099331721 epoch: 2751 Epoch 2751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2751With loss 0.1267430099331721 epoch: 2752 Epoch 2752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2752With loss 0.1267430099331721 epoch: 2753 Epoch 2753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2753With loss 0.1267430099331721 epoch: 2754 Epoch 2754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2754With loss 0.1267430099331721 epoch: 2755 Epoch 2755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2755With loss 0.1267430099331721 epoch: 2756 Epoch 2756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2756With loss 0.1267430099331721 epoch: 2757 Epoch 2757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2757With loss 0.1267430099331721 epoch: 2758 Epoch 2758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2758With loss 0.1267430099331721 epoch: 2759 Epoch 2759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2759With loss 0.1267430099331721 epoch: 2760 Epoch 2760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2760With loss 0.1267430099331721 epoch: 2761 Epoch 2761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2761With loss 0.1267430099331721 epoch: 2762 Epoch 2762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2762With loss 0.1267430099331721 epoch: 2763 Epoch 2763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2763With loss 0.1267430099331721 epoch: 2764 Epoch 2764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2764With loss 0.1267430099331721 epoch: 2765 Epoch 2765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2765With loss 0.1267430099331721 epoch: 2766 Epoch 2766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2766With loss 0.1267430099331721 epoch: 2767 Epoch 2767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2767With loss 0.1267430099331721 epoch: 2768 Epoch 2768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2768With loss 0.1267430099331721 epoch: 2769 Epoch 2769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2769With loss 0.1267430099331721 epoch: 2770 Epoch 2770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2770With loss 0.1267430099331721 epoch: 2771 Epoch 2771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2771With loss 0.1267430099331721 epoch: 2772 Epoch 2772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2772With loss 0.1267430099331721 epoch: 2773 Epoch 2773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2773With loss 0.1267430099331721 epoch: 2774 Epoch 2774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2774With loss 0.1267430099331721 epoch: 2775 Epoch 2775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2775With loss 0.1267430099331721 epoch: 2776 Epoch 2776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2776With loss 0.1267430099331721 epoch: 2777 Epoch 2777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2777With loss 0.1267430099331721 epoch: 2778 Epoch 2778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2778With loss 0.1267430099331721 epoch: 2779 Epoch 2779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2779With loss 0.1267430099331721 epoch: 2780 Epoch 2780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2780With loss 0.1267430099331721 epoch: 2781 Epoch 2781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2781With loss 0.1267430099331721 epoch: 2782 Epoch 2782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2782With loss 0.1267430099331721 epoch: 2783 Epoch 2783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2783With loss 0.1267430099331721 epoch: 2784 Epoch 2784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2784With loss 0.1267430099331721 epoch: 2785 Epoch 2785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2785With loss 0.1267430099331721 epoch: 2786 Epoch 2786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2786With loss 0.1267430099331721 epoch: 2787 Epoch 2787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2787With loss 0.1267430099331721 epoch: 2788 Epoch 2788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2788With loss 0.1267430099331721 epoch: 2789 Epoch 2789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2789With loss 0.1267430099331721 epoch: 2790 Epoch 2790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2790With loss 0.1267430099331721 epoch: 2791 Epoch 2791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2791With loss 0.1267430099331721 epoch: 2792 Epoch 2792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2792With loss 0.1267430099331721 epoch: 2793 Epoch 2793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2793With loss 0.1267430099331721 epoch: 2794 Epoch 2794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2794With loss 0.1267430099331721 epoch: 2795 Epoch 2795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2795With loss 0.1267430099331721 epoch: 2796 Epoch 2796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2796With loss 0.1267430099331721 epoch: 2797 Epoch 2797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2797With loss 0.1267430099331721 epoch: 2798 Epoch 2798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2798With loss 0.1267430099331721 epoch: 2799 Epoch 2799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2799With loss 0.1267430099331721 epoch: 2800 Epoch 2800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2800With loss 0.1267430099331721 epoch: 2801 Epoch 2801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2801With loss 0.1267430099331721 epoch: 2802 Epoch 2802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2802With loss 0.1267430099331721 epoch: 2803 Epoch 2803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2803With loss 0.1267430099331721 epoch: 2804 Epoch 2804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2804With loss 0.1267430099331721 epoch: 2805 Epoch 2805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2805With loss 0.1267430099331721 epoch: 2806 Epoch 2806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2806With loss 0.1267430099331721 epoch: 2807 Epoch 2807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2807With loss 0.1267430099331721 epoch: 2808 Epoch 2808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2808With loss 0.1267430099331721 epoch: 2809 Epoch 2809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2809With loss 0.1267430099331721 epoch: 2810 Epoch 2810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2810With loss 0.1267430099331721 epoch: 2811 Epoch 2811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2811With loss 0.1267430099331721 epoch: 2812 Epoch 2812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2812With loss 0.1267430099331721 epoch: 2813 Epoch 2813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2813With loss 0.1267430099331721 epoch: 2814 Epoch 2814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2814With loss 0.1267430099331721 epoch: 2815 Epoch 2815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2815With loss 0.1267430099331721 epoch: 2816 Epoch 2816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2816With loss 0.1267430099331721 epoch: 2817 Epoch 2817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2817With loss 0.1267430099331721 epoch: 2818 Epoch 2818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2818With loss 0.1267430099331721 epoch: 2819 Epoch 2819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2819With loss 0.1267430099331721 epoch: 2820 Epoch 2820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2820With loss 0.1267430099331721 epoch: 2821 Epoch 2821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2821With loss 0.1267430099331721 epoch: 2822 Epoch 2822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2822With loss 0.1267430099331721 epoch: 2823 Epoch 2823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2823With loss 0.1267430099331721 epoch: 2824 Epoch 2824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2824With loss 0.1267430099331721 epoch: 2825 Epoch 2825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2825With loss 0.1267430099331721 epoch: 2826 Epoch 2826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2826With loss 0.1267430099331721 epoch: 2827 Epoch 2827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2827With loss 0.1267430099331721 epoch: 2828 Epoch 2828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2828With loss 0.1267430099331721 epoch: 2829 Epoch 2829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2829With loss 0.1267430099331721 epoch: 2830 Epoch 2830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2830With loss 0.1267430099331721 epoch: 2831 Epoch 2831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2831With loss 0.1267430099331721 epoch: 2832 Epoch 2832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2832With loss 0.1267430099331721 epoch: 2833 Epoch 2833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2833With loss 0.1267430099331721 epoch: 2834 Epoch 2834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2834With loss 0.1267430099331721 epoch: 2835 Epoch 2835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2835With loss 0.1267430099331721 epoch: 2836 Epoch 2836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2836With loss 0.1267430099331721 epoch: 2837 Epoch 2837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2837With loss 0.1267430099331721 epoch: 2838 Epoch 2838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2838With loss 0.1267430099331721 epoch: 2839 Epoch 2839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2839With loss 0.1267430099331721 epoch: 2840 Epoch 2840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2840With loss 0.1267430099331721 epoch: 2841 Epoch 2841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2841With loss 0.1267430099331721 epoch: 2842 Epoch 2842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2842With loss 0.1267430099331721 epoch: 2843 Epoch 2843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2843With loss 0.1267430099331721 epoch: 2844 Epoch 2844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2844With loss 0.1267430099331721 epoch: 2845 Epoch 2845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2845With loss 0.1267430099331721 epoch: 2846 Epoch 2846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2846With loss 0.1267430099331721 epoch: 2847 Epoch 2847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2847With loss 0.1267430099331721 epoch: 2848 Epoch 2848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2848With loss 0.1267430099331721 epoch: 2849 Epoch 2849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2849With loss 0.1267430099331721 epoch: 2850 Epoch 2850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2850With loss 0.1267430099331721 epoch: 2851 Epoch 2851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2851With loss 0.1267430099331721 epoch: 2852 Epoch 2852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2852With loss 0.1267430099331721 epoch: 2853 Epoch 2853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2853With loss 0.1267430099331721 epoch: 2854 Epoch 2854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2854With loss 0.1267430099331721 epoch: 2855 Epoch 2855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2855With loss 0.1267430099331721 epoch: 2856 Epoch 2856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2856With loss 0.1267430099331721 epoch: 2857 Epoch 2857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2857With loss 0.1267430099331721 epoch: 2858 Epoch 2858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2858With loss 0.1267430099331721 epoch: 2859 Epoch 2859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2859With loss 0.1267430099331721 epoch: 2860 Epoch 2860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2860With loss 0.1267430099331721 epoch: 2861 Epoch 2861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2861With loss 0.1267430099331721 epoch: 2862 Epoch 2862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2862With loss 0.1267430099331721 epoch: 2863 Epoch 2863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2863With loss 0.1267430099331721 epoch: 2864 Epoch 2864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2864With loss 0.1267430099331721 epoch: 2865 Epoch 2865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2865With loss 0.1267430099331721 epoch: 2866 Epoch 2866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2866With loss 0.1267430099331721 epoch: 2867 Epoch 2867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2867With loss 0.1267430099331721 epoch: 2868 Epoch 2868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2868With loss 0.1267430099331721 epoch: 2869 Epoch 2869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2869With loss 0.1267430099331721 epoch: 2870 Epoch 2870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2870With loss 0.1267430099331721 epoch: 2871 Epoch 2871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2871With loss 0.1267430099331721 epoch: 2872 Epoch 2872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2872With loss 0.1267430099331721 epoch: 2873 Epoch 2873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2873With loss 0.1267430099331721 epoch: 2874 Epoch 2874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2874With loss 0.1267430099331721 epoch: 2875 Epoch 2875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2875With loss 0.1267430099331721 epoch: 2876 Epoch 2876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2876With loss 0.1267430099331721 epoch: 2877 Epoch 2877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2877With loss 0.1267430099331721 epoch: 2878 Epoch 2878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2878With loss 0.1267430099331721 epoch: 2879 Epoch 2879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2879With loss 0.1267430099331721 epoch: 2880 Epoch 2880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2880With loss 0.1267430099331721 epoch: 2881 Epoch 2881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2881With loss 0.1267430099331721 epoch: 2882 Epoch 2882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2882With loss 0.1267430099331721 epoch: 2883 Epoch 2883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2883With loss 0.1267430099331721 epoch: 2884 Epoch 2884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2884With loss 0.1267430099331721 epoch: 2885 Epoch 2885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2885With loss 0.1267430099331721 epoch: 2886 Epoch 2886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2886With loss 0.1267430099331721 epoch: 2887 Epoch 2887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2887With loss 0.1267430099331721 epoch: 2888 Epoch 2888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2888With loss 0.1267430099331721 epoch: 2889 Epoch 2889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2889With loss 0.1267430099331721 epoch: 2890 Epoch 2890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2890With loss 0.1267430099331721 epoch: 2891 Epoch 2891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2891With loss 0.1267430099331721 epoch: 2892 Epoch 2892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2892With loss 0.1267430099331721 epoch: 2893 Epoch 2893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2893With loss 0.1267430099331721 epoch: 2894 Epoch 2894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2894With loss 0.1267430099331721 epoch: 2895 Epoch 2895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2895With loss 0.1267430099331721 epoch: 2896 Epoch 2896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2896With loss 0.1267430099331721 epoch: 2897 Epoch 2897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2897With loss 0.1267430099331721 epoch: 2898 Epoch 2898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2898With loss 0.1267430099331721 epoch: 2899 Epoch 2899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2899With loss 0.1267430099331721 epoch: 2900 Epoch 2900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2900With loss 0.1267430099331721 epoch: 2901 Epoch 2901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2901With loss 0.1267430099331721 epoch: 2902 Epoch 2902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2902With loss 0.1267430099331721 epoch: 2903 Epoch 2903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2903With loss 0.1267430099331721 epoch: 2904 Epoch 2904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2904With loss 0.1267430099331721 epoch: 2905 Epoch 2905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2905With loss 0.1267430099331721 epoch: 2906 Epoch 2906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2906With loss 0.1267430099331721 epoch: 2907 Epoch 2907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2907With loss 0.1267430099331721 epoch: 2908 Epoch 2908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2908With loss 0.1267430099331721 epoch: 2909 Epoch 2909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2909With loss 0.1267430099331721 epoch: 2910 Epoch 2910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2910With loss 0.1267430099331721 epoch: 2911 Epoch 2911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2911With loss 0.1267430099331721 epoch: 2912 Epoch 2912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2912With loss 0.1267430099331721 epoch: 2913 Epoch 2913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2913With loss 0.1267430099331721 epoch: 2914 Epoch 2914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2914With loss 0.1267430099331721 epoch: 2915 Epoch 2915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2915With loss 0.1267430099331721 epoch: 2916 Epoch 2916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2916With loss 0.1267430099331721 epoch: 2917 Epoch 2917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2917With loss 0.1267430099331721 epoch: 2918 Epoch 2918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2918With loss 0.1267430099331721 epoch: 2919 Epoch 2919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2919With loss 0.1267430099331721 epoch: 2920 Epoch 2920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2920With loss 0.1267430099331721 epoch: 2921 Epoch 2921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2921With loss 0.1267430099331721 epoch: 2922 Epoch 2922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2922With loss 0.1267430099331721 epoch: 2923 Epoch 2923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2923With loss 0.1267430099331721 epoch: 2924 Epoch 2924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2924With loss 0.1267430099331721 epoch: 2925 Epoch 2925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2925With loss 0.1267430099331721 epoch: 2926 Epoch 2926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2926With loss 0.1267430099331721 epoch: 2927 Epoch 2927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2927With loss 0.1267430099331721 epoch: 2928 Epoch 2928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2928With loss 0.1267430099331721 epoch: 2929 Epoch 2929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2929With loss 0.1267430099331721 epoch: 2930 Epoch 2930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2930With loss 0.1267430099331721 epoch: 2931 Epoch 2931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2931With loss 0.1267430099331721 epoch: 2932 Epoch 2932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2932With loss 0.1267430099331721 epoch: 2933 Epoch 2933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2933With loss 0.1267430099331721 epoch: 2934 Epoch 2934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2934With loss 0.1267430099331721 epoch: 2935 Epoch 2935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2935With loss 0.1267430099331721 epoch: 2936 Epoch 2936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2936With loss 0.1267430099331721 epoch: 2937 Epoch 2937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2937With loss 0.1267430099331721 epoch: 2938 Epoch 2938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2938With loss 0.1267430099331721 epoch: 2939 Epoch 2939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2939With loss 0.1267430099331721 epoch: 2940 Epoch 2940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2940With loss 0.1267430099331721 epoch: 2941 Epoch 2941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2941With loss 0.1267430099331721 epoch: 2942 Epoch 2942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2942With loss 0.1267430099331721 epoch: 2943 Epoch 2943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2943With loss 0.1267430099331721 epoch: 2944 Epoch 2944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2944With loss 0.1267430099331721 epoch: 2945 Epoch 2945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2945With loss 0.1267430099331721 epoch: 2946 Epoch 2946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2946With loss 0.1267430099331721 epoch: 2947 Epoch 2947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2947With loss 0.1267430099331721 epoch: 2948 Epoch 2948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2948With loss 0.1267430099331721 epoch: 2949 Epoch 2949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2949With loss 0.1267430099331721 epoch: 2950 Epoch 2950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2950With loss 0.1267430099331721 epoch: 2951 Epoch 2951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2951With loss 0.1267430099331721 epoch: 2952 Epoch 2952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2952With loss 0.1267430099331721 epoch: 2953 Epoch 2953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2953With loss 0.1267430099331721 epoch: 2954 Epoch 2954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2954With loss 0.1267430099331721 epoch: 2955 Epoch 2955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2955With loss 0.1267430099331721 epoch: 2956 Epoch 2956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2956With loss 0.1267430099331721 epoch: 2957 Epoch 2957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2957With loss 0.1267430099331721 epoch: 2958 Epoch 2958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2958With loss 0.1267430099331721 epoch: 2959 Epoch 2959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2959With loss 0.1267430099331721 epoch: 2960 Epoch 2960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2960With loss 0.1267430099331721 epoch: 2961 Epoch 2961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2961With loss 0.1267430099331721 epoch: 2962 Epoch 2962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2962With loss 0.1267430099331721 epoch: 2963 Epoch 2963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2963With loss 0.1267430099331721 epoch: 2964 Epoch 2964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2964With loss 0.1267430099331721 epoch: 2965 Epoch 2965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2965With loss 0.1267430099331721 epoch: 2966 Epoch 2966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2966With loss 0.1267430099331721 epoch: 2967 Epoch 2967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2967With loss 0.1267430099331721 epoch: 2968 Epoch 2968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2968With loss 0.1267430099331721 epoch: 2969 Epoch 2969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2969With loss 0.1267430099331721 epoch: 2970 Epoch 2970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2970With loss 0.1267430099331721 epoch: 2971 Epoch 2971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2971With loss 0.1267430099331721 epoch: 2972 Epoch 2972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2972With loss 0.1267430099331721 epoch: 2973 Epoch 2973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2973With loss 0.1267430099331721 epoch: 2974 Epoch 2974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2974With loss 0.1267430099331721 epoch: 2975 Epoch 2975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2975With loss 0.1267430099331721 epoch: 2976 Epoch 2976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2976With loss 0.1267430099331721 epoch: 2977 Epoch 2977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2977With loss 0.1267430099331721 epoch: 2978 Epoch 2978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2978With loss 0.1267430099331721 epoch: 2979 Epoch 2979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2979With loss 0.1267430099331721 epoch: 2980 Epoch 2980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2980With loss 0.1267430099331721 epoch: 2981 Epoch 2981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2981With loss 0.1267430099331721 epoch: 2982 Epoch 2982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2982With loss 0.1267430099331721 epoch: 2983 Epoch 2983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2983With loss 0.1267430099331721 epoch: 2984 Epoch 2984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2984With loss 0.1267430099331721 epoch: 2985 Epoch 2985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2985With loss 0.1267430099331721 epoch: 2986 Epoch 2986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2986With loss 0.1267430099331721 epoch: 2987 Epoch 2987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2987With loss 0.1267430099331721 epoch: 2988 Epoch 2988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2988With loss 0.1267430099331721 epoch: 2989 Epoch 2989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2989With loss 0.1267430099331721 epoch: 2990 Epoch 2990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2990With loss 0.1267430099331721 epoch: 2991 Epoch 2991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2991With loss 0.1267430099331721 epoch: 2992 Epoch 2992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2992With loss 0.1267430099331721 epoch: 2993 Epoch 2993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2993With loss 0.1267430099331721 epoch: 2994 Epoch 2994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2994With loss 0.1267430099331721 epoch: 2995 Epoch 2995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2995With loss 0.1267430099331721 epoch: 2996 Epoch 2996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2996With loss 0.1267430099331721 epoch: 2997 Epoch 2997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2997With loss 0.1267430099331721 epoch: 2998 Epoch 2998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2998With loss 0.1267430099331721 epoch: 2999 Epoch 2999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 2999With loss 0.1267430099331721 epoch: 3000 Epoch 3000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3000With loss 0.1267430099331721 epoch: 3001 Epoch 3001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3001With loss 0.1267430099331721 epoch: 3002 Epoch 3002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3002With loss 0.1267430099331721 epoch: 3003 Epoch 3003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3003With loss 0.1267430099331721 epoch: 3004 Epoch 3004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3004With loss 0.1267430099331721 epoch: 3005 Epoch 3005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3005With loss 0.1267430099331721 epoch: 3006 Epoch 3006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3006With loss 0.1267430099331721 epoch: 3007 Epoch 3007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3007With loss 0.1267430099331721 epoch: 3008 Epoch 3008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3008With loss 0.1267430099331721 epoch: 3009 Epoch 3009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3009With loss 0.1267430099331721 epoch: 3010 Epoch 3010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3010With loss 0.1267430099331721 epoch: 3011 Epoch 3011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3011With loss 0.1267430099331721 epoch: 3012 Epoch 3012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3012With loss 0.1267430099331721 epoch: 3013 Epoch 3013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3013With loss 0.1267430099331721 epoch: 3014 Epoch 3014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3014With loss 0.1267430099331721 epoch: 3015 Epoch 3015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3015With loss 0.1267430099331721 epoch: 3016 Epoch 3016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3016With loss 0.1267430099331721 epoch: 3017 Epoch 3017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3017With loss 0.1267430099331721 epoch: 3018 Epoch 3018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3018With loss 0.1267430099331721 epoch: 3019 Epoch 3019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3019With loss 0.1267430099331721 epoch: 3020 Epoch 3020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3020With loss 0.1267430099331721 epoch: 3021 Epoch 3021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3021With loss 0.1267430099331721 epoch: 3022 Epoch 3022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3022With loss 0.1267430099331721 epoch: 3023 Epoch 3023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3023With loss 0.1267430099331721 epoch: 3024 Epoch 3024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3024With loss 0.1267430099331721 epoch: 3025 Epoch 3025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3025With loss 0.1267430099331721 epoch: 3026 Epoch 3026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3026With loss 0.1267430099331721 epoch: 3027 Epoch 3027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3027With loss 0.1267430099331721 epoch: 3028 Epoch 3028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3028With loss 0.1267430099331721 epoch: 3029 Epoch 3029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3029With loss 0.1267430099331721 epoch: 3030 Epoch 3030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3030With loss 0.1267430099331721 epoch: 3031 Epoch 3031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3031With loss 0.1267430099331721 epoch: 3032 Epoch 3032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3032With loss 0.1267430099331721 epoch: 3033 Epoch 3033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3033With loss 0.1267430099331721 epoch: 3034 Epoch 3034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3034With loss 0.1267430099331721 epoch: 3035 Epoch 3035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3035With loss 0.1267430099331721 epoch: 3036 Epoch 3036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3036With loss 0.1267430099331721 epoch: 3037 Epoch 3037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3037With loss 0.1267430099331721 epoch: 3038 Epoch 3038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3038With loss 0.1267430099331721 epoch: 3039 Epoch 3039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3039With loss 0.1267430099331721 epoch: 3040 Epoch 3040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3040With loss 0.1267430099331721 epoch: 3041 Epoch 3041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3041With loss 0.1267430099331721 epoch: 3042 Epoch 3042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3042With loss 0.1267430099331721 epoch: 3043 Epoch 3043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3043With loss 0.1267430099331721 epoch: 3044 Epoch 3044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3044With loss 0.1267430099331721 epoch: 3045 Epoch 3045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3045With loss 0.1267430099331721 epoch: 3046 Epoch 3046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3046With loss 0.1267430099331721 epoch: 3047 Epoch 3047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3047With loss 0.1267430099331721 epoch: 3048 Epoch 3048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3048With loss 0.1267430099331721 epoch: 3049 Epoch 3049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3049With loss 0.1267430099331721 epoch: 3050 Epoch 3050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3050With loss 0.1267430099331721 epoch: 3051 Epoch 3051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3051With loss 0.1267430099331721 epoch: 3052 Epoch 3052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3052With loss 0.1267430099331721 epoch: 3053 Epoch 3053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3053With loss 0.1267430099331721 epoch: 3054 Epoch 3054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3054With loss 0.1267430099331721 epoch: 3055 Epoch 3055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3055With loss 0.1267430099331721 epoch: 3056 Epoch 3056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3056With loss 0.1267430099331721 epoch: 3057 Epoch 3057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3057With loss 0.1267430099331721 epoch: 3058 Epoch 3058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3058With loss 0.1267430099331721 epoch: 3059 Epoch 3059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3059With loss 0.1267430099331721 epoch: 3060 Epoch 3060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3060With loss 0.1267430099331721 epoch: 3061 Epoch 3061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3061With loss 0.1267430099331721 epoch: 3062 Epoch 3062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3062With loss 0.1267430099331721 epoch: 3063 Epoch 3063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3063With loss 0.1267430099331721 epoch: 3064 Epoch 3064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3064With loss 0.1267430099331721 epoch: 3065 Epoch 3065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3065With loss 0.1267430099331721 epoch: 3066 Epoch 3066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3066With loss 0.1267430099331721 epoch: 3067 Epoch 3067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3067With loss 0.1267430099331721 epoch: 3068 Epoch 3068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3068With loss 0.1267430099331721 epoch: 3069 Epoch 3069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3069With loss 0.1267430099331721 epoch: 3070 Epoch 3070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3070With loss 0.1267430099331721 epoch: 3071 Epoch 3071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3071With loss 0.1267430099331721 epoch: 3072 Epoch 3072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3072With loss 0.1267430099331721 epoch: 3073 Epoch 3073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3073With loss 0.1267430099331721 epoch: 3074 Epoch 3074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3074With loss 0.1267430099331721 epoch: 3075 Epoch 3075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3075With loss 0.1267430099331721 epoch: 3076 Epoch 3076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3076With loss 0.1267430099331721 epoch: 3077 Epoch 3077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3077With loss 0.1267430099331721 epoch: 3078 Epoch 3078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3078With loss 0.1267430099331721 epoch: 3079 Epoch 3079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3079With loss 0.1267430099331721 epoch: 3080 Epoch 3080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3080With loss 0.1267430099331721 epoch: 3081 Epoch 3081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3081With loss 0.1267430099331721 epoch: 3082 Epoch 3082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3082With loss 0.1267430099331721 epoch: 3083 Epoch 3083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3083With loss 0.1267430099331721 epoch: 3084 Epoch 3084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3084With loss 0.1267430099331721 epoch: 3085 Epoch 3085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3085With loss 0.1267430099331721 epoch: 3086 Epoch 3086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3086With loss 0.1267430099331721 epoch: 3087 Epoch 3087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3087With loss 0.1267430099331721 epoch: 3088 Epoch 3088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3088With loss 0.1267430099331721 epoch: 3089 Epoch 3089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3089With loss 0.1267430099331721 epoch: 3090 Epoch 3090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3090With loss 0.1267430099331721 epoch: 3091 Epoch 3091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3091With loss 0.1267430099331721 epoch: 3092 Epoch 3092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3092With loss 0.1267430099331721 epoch: 3093 Epoch 3093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3093With loss 0.1267430099331721 epoch: 3094 Epoch 3094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3094With loss 0.1267430099331721 epoch: 3095 Epoch 3095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3095With loss 0.1267430099331721 epoch: 3096 Epoch 3096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3096With loss 0.1267430099331721 epoch: 3097 Epoch 3097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3097With loss 0.1267430099331721 epoch: 3098 Epoch 3098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3098With loss 0.1267430099331721 epoch: 3099 Epoch 3099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3099With loss 0.1267430099331721 epoch: 3100 Epoch 3100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3100With loss 0.1267430099331721 epoch: 3101 Epoch 3101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3101With loss 0.1267430099331721 epoch: 3102 Epoch 3102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3102With loss 0.1267430099331721 epoch: 3103 Epoch 3103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3103With loss 0.1267430099331721 epoch: 3104 Epoch 3104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3104With loss 0.1267430099331721 epoch: 3105 Epoch 3105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3105With loss 0.1267430099331721 epoch: 3106 Epoch 3106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3106With loss 0.1267430099331721 epoch: 3107 Epoch 3107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3107With loss 0.1267430099331721 epoch: 3108 Epoch 3108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3108With loss 0.1267430099331721 epoch: 3109 Epoch 3109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3109With loss 0.1267430099331721 epoch: 3110 Epoch 3110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3110With loss 0.1267430099331721 epoch: 3111 Epoch 3111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3111With loss 0.1267430099331721 epoch: 3112 Epoch 3112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3112With loss 0.1267430099331721 epoch: 3113 Epoch 3113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3113With loss 0.1267430099331721 epoch: 3114 Epoch 3114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3114With loss 0.1267430099331721 epoch: 3115 Epoch 3115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3115With loss 0.1267430099331721 epoch: 3116 Epoch 3116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3116With loss 0.1267430099331721 epoch: 3117 Epoch 3117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3117With loss 0.1267430099331721 epoch: 3118 Epoch 3118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3118With loss 0.1267430099331721 epoch: 3119 Epoch 3119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3119With loss 0.1267430099331721 epoch: 3120 Epoch 3120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3120With loss 0.1267430099331721 epoch: 3121 Epoch 3121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3121With loss 0.1267430099331721 epoch: 3122 Epoch 3122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3122With loss 0.1267430099331721 epoch: 3123 Epoch 3123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3123With loss 0.1267430099331721 epoch: 3124 Epoch 3124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3124With loss 0.1267430099331721 epoch: 3125 Epoch 3125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3125With loss 0.1267430099331721 epoch: 3126 Epoch 3126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3126With loss 0.1267430099331721 epoch: 3127 Epoch 3127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3127With loss 0.1267430099331721 epoch: 3128 Epoch 3128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3128With loss 0.1267430099331721 epoch: 3129 Epoch 3129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3129With loss 0.1267430099331721 epoch: 3130 Epoch 3130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3130With loss 0.1267430099331721 epoch: 3131 Epoch 3131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3131With loss 0.1267430099331721 epoch: 3132 Epoch 3132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3132With loss 0.1267430099331721 epoch: 3133 Epoch 3133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3133With loss 0.1267430099331721 epoch: 3134 Epoch 3134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3134With loss 0.1267430099331721 epoch: 3135 Epoch 3135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3135With loss 0.1267430099331721 epoch: 3136 Epoch 3136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3136With loss 0.1267430099331721 epoch: 3137 Epoch 3137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3137With loss 0.1267430099331721 epoch: 3138 Epoch 3138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3138With loss 0.1267430099331721 epoch: 3139 Epoch 3139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3139With loss 0.1267430099331721 epoch: 3140 Epoch 3140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3140With loss 0.1267430099331721 epoch: 3141 Epoch 3141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3141With loss 0.1267430099331721 epoch: 3142 Epoch 3142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3142With loss 0.1267430099331721 epoch: 3143 Epoch 3143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3143With loss 0.1267430099331721 epoch: 3144 Epoch 3144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3144With loss 0.1267430099331721 epoch: 3145 Epoch 3145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3145With loss 0.1267430099331721 epoch: 3146 Epoch 3146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3146With loss 0.1267430099331721 epoch: 3147 Epoch 3147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3147With loss 0.1267430099331721 epoch: 3148 Epoch 3148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3148With loss 0.1267430099331721 epoch: 3149 Epoch 3149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3149With loss 0.1267430099331721 epoch: 3150 Epoch 3150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3150With loss 0.1267430099331721 epoch: 3151 Epoch 3151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3151With loss 0.1267430099331721 epoch: 3152 Epoch 3152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3152With loss 0.1267430099331721 epoch: 3153 Epoch 3153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3153With loss 0.1267430099331721 epoch: 3154 Epoch 3154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3154With loss 0.1267430099331721 epoch: 3155 Epoch 3155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3155With loss 0.1267430099331721 epoch: 3156 Epoch 3156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3156With loss 0.1267430099331721 epoch: 3157 Epoch 3157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3157With loss 0.1267430099331721 epoch: 3158 Epoch 3158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3158With loss 0.1267430099331721 epoch: 3159 Epoch 3159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3159With loss 0.1267430099331721 epoch: 3160 Epoch 3160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3160With loss 0.1267430099331721 epoch: 3161 Epoch 3161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3161With loss 0.1267430099331721 epoch: 3162 Epoch 3162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3162With loss 0.1267430099331721 epoch: 3163 Epoch 3163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3163With loss 0.1267430099331721 epoch: 3164 Epoch 3164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3164With loss 0.1267430099331721 epoch: 3165 Epoch 3165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3165With loss 0.1267430099331721 epoch: 3166 Epoch 3166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3166With loss 0.1267430099331721 epoch: 3167 Epoch 3167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3167With loss 0.1267430099331721 epoch: 3168 Epoch 3168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3168With loss 0.1267430099331721 epoch: 3169 Epoch 3169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3169With loss 0.1267430099331721 epoch: 3170 Epoch 3170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3170With loss 0.1267430099331721 epoch: 3171 Epoch 3171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3171With loss 0.1267430099331721 epoch: 3172 Epoch 3172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3172With loss 0.1267430099331721 epoch: 3173 Epoch 3173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3173With loss 0.1267430099331721 epoch: 3174 Epoch 3174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3174With loss 0.1267430099331721 epoch: 3175 Epoch 3175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3175With loss 0.1267430099331721 epoch: 3176 Epoch 3176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3176With loss 0.1267430099331721 epoch: 3177 Epoch 3177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3177With loss 0.1267430099331721 epoch: 3178 Epoch 3178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3178With loss 0.1267430099331721 epoch: 3179 Epoch 3179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3179With loss 0.1267430099331721 epoch: 3180 Epoch 3180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3180With loss 0.1267430099331721 epoch: 3181 Epoch 3181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3181With loss 0.1267430099331721 epoch: 3182 Epoch 3182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3182With loss 0.1267430099331721 epoch: 3183 Epoch 3183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3183With loss 0.1267430099331721 epoch: 3184 Epoch 3184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3184With loss 0.1267430099331721 epoch: 3185 Epoch 3185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3185With loss 0.1267430099331721 epoch: 3186 Epoch 3186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3186With loss 0.1267430099331721 epoch: 3187 Epoch 3187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3187With loss 0.1267430099331721 epoch: 3188 Epoch 3188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3188With loss 0.1267430099331721 epoch: 3189 Epoch 3189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3189With loss 0.1267430099331721 epoch: 3190 Epoch 3190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3190With loss 0.1267430099331721 epoch: 3191 Epoch 3191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3191With loss 0.1267430099331721 epoch: 3192 Epoch 3192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3192With loss 0.1267430099331721 epoch: 3193 Epoch 3193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3193With loss 0.1267430099331721 epoch: 3194 Epoch 3194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3194With loss 0.1267430099331721 epoch: 3195 Epoch 3195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3195With loss 0.1267430099331721 epoch: 3196 Epoch 3196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3196With loss 0.1267430099331721 epoch: 3197 Epoch 3197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3197With loss 0.1267430099331721 epoch: 3198 Epoch 3198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3198With loss 0.1267430099331721 epoch: 3199 Epoch 3199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3199With loss 0.1267430099331721 epoch: 3200 Epoch 3200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3200With loss 0.1267430099331721 epoch: 3201 Epoch 3201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3201With loss 0.1267430099331721 epoch: 3202 Epoch 3202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3202With loss 0.1267430099331721 epoch: 3203 Epoch 3203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3203With loss 0.1267430099331721 epoch: 3204 Epoch 3204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3204With loss 0.1267430099331721 epoch: 3205 Epoch 3205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3205With loss 0.1267430099331721 epoch: 3206 Epoch 3206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3206With loss 0.1267430099331721 epoch: 3207 Epoch 3207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3207With loss 0.1267430099331721 epoch: 3208 Epoch 3208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3208With loss 0.1267430099331721 epoch: 3209 Epoch 3209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3209With loss 0.1267430099331721 epoch: 3210 Epoch 3210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3210With loss 0.1267430099331721 epoch: 3211 Epoch 3211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3211With loss 0.1267430099331721 epoch: 3212 Epoch 3212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3212With loss 0.1267430099331721 epoch: 3213 Epoch 3213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3213With loss 0.1267430099331721 epoch: 3214 Epoch 3214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3214With loss 0.1267430099331721 epoch: 3215 Epoch 3215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3215With loss 0.1267430099331721 epoch: 3216 Epoch 3216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3216With loss 0.1267430099331721 epoch: 3217 Epoch 3217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3217With loss 0.1267430099331721 epoch: 3218 Epoch 3218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3218With loss 0.1267430099331721 epoch: 3219 Epoch 3219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3219With loss 0.1267430099331721 epoch: 3220 Epoch 3220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3220With loss 0.1267430099331721 epoch: 3221 Epoch 3221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3221With loss 0.1267430099331721 epoch: 3222 Epoch 3222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3222With loss 0.1267430099331721 epoch: 3223 Epoch 3223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3223With loss 0.1267430099331721 epoch: 3224 Epoch 3224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3224With loss 0.1267430099331721 epoch: 3225 Epoch 3225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3225With loss 0.1267430099331721 epoch: 3226 Epoch 3226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3226With loss 0.1267430099331721 epoch: 3227 Epoch 3227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3227With loss 0.1267430099331721 epoch: 3228 Epoch 3228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3228With loss 0.1267430099331721 epoch: 3229 Epoch 3229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3229With loss 0.1267430099331721 epoch: 3230 Epoch 3230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3230With loss 0.1267430099331721 epoch: 3231 Epoch 3231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3231With loss 0.1267430099331721 epoch: 3232 Epoch 3232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3232With loss 0.1267430099331721 epoch: 3233 Epoch 3233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3233With loss 0.1267430099331721 epoch: 3234 Epoch 3234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3234With loss 0.1267430099331721 epoch: 3235 Epoch 3235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3235With loss 0.1267430099331721 epoch: 3236 Epoch 3236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3236With loss 0.1267430099331721 epoch: 3237 Epoch 3237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3237With loss 0.1267430099331721 epoch: 3238 Epoch 3238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3238With loss 0.1267430099331721 epoch: 3239 Epoch 3239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3239With loss 0.1267430099331721 epoch: 3240 Epoch 3240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3240With loss 0.1267430099331721 epoch: 3241 Epoch 3241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3241With loss 0.1267430099331721 epoch: 3242 Epoch 3242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3242With loss 0.1267430099331721 epoch: 3243 Epoch 3243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3243With loss 0.1267430099331721 epoch: 3244 Epoch 3244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3244With loss 0.1267430099331721 epoch: 3245 Epoch 3245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3245With loss 0.1267430099331721 epoch: 3246 Epoch 3246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3246With loss 0.1267430099331721 epoch: 3247 Epoch 3247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3247With loss 0.1267430099331721 epoch: 3248 Epoch 3248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3248With loss 0.1267430099331721 epoch: 3249 Epoch 3249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3249With loss 0.1267430099331721 epoch: 3250 Epoch 3250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3250With loss 0.1267430099331721 epoch: 3251 Epoch 3251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3251With loss 0.1267430099331721 epoch: 3252 Epoch 3252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3252With loss 0.1267430099331721 epoch: 3253 Epoch 3253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3253With loss 0.1267430099331721 epoch: 3254 Epoch 3254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3254With loss 0.1267430099331721 epoch: 3255 Epoch 3255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3255With loss 0.1267430099331721 epoch: 3256 Epoch 3256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3256With loss 0.1267430099331721 epoch: 3257 Epoch 3257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3257With loss 0.1267430099331721 epoch: 3258 Epoch 3258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3258With loss 0.1267430099331721 epoch: 3259 Epoch 3259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3259With loss 0.1267430099331721 epoch: 3260 Epoch 3260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3260With loss 0.1267430099331721 epoch: 3261 Epoch 3261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3261With loss 0.1267430099331721 epoch: 3262 Epoch 3262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3262With loss 0.1267430099331721 epoch: 3263 Epoch 3263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3263With loss 0.1267430099331721 epoch: 3264 Epoch 3264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3264With loss 0.1267430099331721 epoch: 3265 Epoch 3265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3265With loss 0.1267430099331721 epoch: 3266 Epoch 3266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3266With loss 0.1267430099331721 epoch: 3267 Epoch 3267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3267With loss 0.1267430099331721 epoch: 3268 Epoch 3268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3268With loss 0.1267430099331721 epoch: 3269 Epoch 3269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3269With loss 0.1267430099331721 epoch: 3270 Epoch 3270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3270With loss 0.1267430099331721 epoch: 3271 Epoch 3271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3271With loss 0.1267430099331721 epoch: 3272 Epoch 3272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3272With loss 0.1267430099331721 epoch: 3273 Epoch 3273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3273With loss 0.1267430099331721 epoch: 3274 Epoch 3274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3274With loss 0.1267430099331721 epoch: 3275 Epoch 3275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3275With loss 0.1267430099331721 epoch: 3276 Epoch 3276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3276With loss 0.1267430099331721 epoch: 3277 Epoch 3277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3277With loss 0.1267430099331721 epoch: 3278 Epoch 3278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3278With loss 0.1267430099331721 epoch: 3279 Epoch 3279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3279With loss 0.1267430099331721 epoch: 3280 Epoch 3280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3280With loss 0.1267430099331721 epoch: 3281 Epoch 3281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3281With loss 0.1267430099331721 epoch: 3282 Epoch 3282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3282With loss 0.1267430099331721 epoch: 3283 Epoch 3283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3283With loss 0.1267430099331721 epoch: 3284 Epoch 3284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3284With loss 0.1267430099331721 epoch: 3285 Epoch 3285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3285With loss 0.1267430099331721 epoch: 3286 Epoch 3286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3286With loss 0.1267430099331721 epoch: 3287 Epoch 3287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3287With loss 0.1267430099331721 epoch: 3288 Epoch 3288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3288With loss 0.1267430099331721 epoch: 3289 Epoch 3289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3289With loss 0.1267430099331721 epoch: 3290 Epoch 3290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3290With loss 0.1267430099331721 epoch: 3291 Epoch 3291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3291With loss 0.1267430099331721 epoch: 3292 Epoch 3292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3292With loss 0.1267430099331721 epoch: 3293 Epoch 3293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3293With loss 0.1267430099331721 epoch: 3294 Epoch 3294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3294With loss 0.1267430099331721 epoch: 3295 Epoch 3295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3295With loss 0.1267430099331721 epoch: 3296 Epoch 3296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3296With loss 0.1267430099331721 epoch: 3297 Epoch 3297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3297With loss 0.1267430099331721 epoch: 3298 Epoch 3298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3298With loss 0.1267430099331721 epoch: 3299 Epoch 3299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3299With loss 0.1267430099331721 epoch: 3300 Epoch 3300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3300With loss 0.1267430099331721 epoch: 3301 Epoch 3301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3301With loss 0.1267430099331721 epoch: 3302 Epoch 3302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3302With loss 0.1267430099331721 epoch: 3303 Epoch 3303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3303With loss 0.1267430099331721 epoch: 3304 Epoch 3304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3304With loss 0.1267430099331721 epoch: 3305 Epoch 3305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3305With loss 0.1267430099331721 epoch: 3306 Epoch 3306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3306With loss 0.1267430099331721 epoch: 3307 Epoch 3307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3307With loss 0.1267430099331721 epoch: 3308 Epoch 3308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3308With loss 0.1267430099331721 epoch: 3309 Epoch 3309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3309With loss 0.1267430099331721 epoch: 3310 Epoch 3310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3310With loss 0.1267430099331721 epoch: 3311 Epoch 3311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3311With loss 0.1267430099331721 epoch: 3312 Epoch 3312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3312With loss 0.1267430099331721 epoch: 3313 Epoch 3313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3313With loss 0.1267430099331721 epoch: 3314 Epoch 3314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3314With loss 0.1267430099331721 epoch: 3315 Epoch 3315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3315With loss 0.1267430099331721 epoch: 3316 Epoch 3316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3316With loss 0.1267430099331721 epoch: 3317 Epoch 3317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3317With loss 0.1267430099331721 epoch: 3318 Epoch 3318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3318With loss 0.1267430099331721 epoch: 3319 Epoch 3319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3319With loss 0.1267430099331721 epoch: 3320 Epoch 3320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3320With loss 0.1267430099331721 epoch: 3321 Epoch 3321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3321With loss 0.1267430099331721 epoch: 3322 Epoch 3322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3322With loss 0.1267430099331721 epoch: 3323 Epoch 3323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3323With loss 0.1267430099331721 epoch: 3324 Epoch 3324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3324With loss 0.1267430099331721 epoch: 3325 Epoch 3325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3325With loss 0.1267430099331721 epoch: 3326 Epoch 3326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3326With loss 0.1267430099331721 epoch: 3327 Epoch 3327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3327With loss 0.1267430099331721 epoch: 3328 Epoch 3328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3328With loss 0.1267430099331721 epoch: 3329 Epoch 3329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3329With loss 0.1267430099331721 epoch: 3330 Epoch 3330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3330With loss 0.1267430099331721 epoch: 3331 Epoch 3331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3331With loss 0.1267430099331721 epoch: 3332 Epoch 3332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3332With loss 0.1267430099331721 epoch: 3333 Epoch 3333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3333With loss 0.1267430099331721 epoch: 3334 Epoch 3334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3334With loss 0.1267430099331721 epoch: 3335 Epoch 3335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3335With loss 0.1267430099331721 epoch: 3336 Epoch 3336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3336With loss 0.1267430099331721 epoch: 3337 Epoch 3337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3337With loss 0.1267430099331721 epoch: 3338 Epoch 3338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3338With loss 0.1267430099331721 epoch: 3339 Epoch 3339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3339With loss 0.1267430099331721 epoch: 3340 Epoch 3340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3340With loss 0.1267430099331721 epoch: 3341 Epoch 3341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3341With loss 0.1267430099331721 epoch: 3342 Epoch 3342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3342With loss 0.1267430099331721 epoch: 3343 Epoch 3343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3343With loss 0.1267430099331721 epoch: 3344 Epoch 3344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3344With loss 0.1267430099331721 epoch: 3345 Epoch 3345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3345With loss 0.1267430099331721 epoch: 3346 Epoch 3346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3346With loss 0.1267430099331721 epoch: 3347 Epoch 3347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3347With loss 0.1267430099331721 epoch: 3348 Epoch 3348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3348With loss 0.1267430099331721 epoch: 3349 Epoch 3349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3349With loss 0.1267430099331721 epoch: 3350 Epoch 3350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3350With loss 0.1267430099331721 epoch: 3351 Epoch 3351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3351With loss 0.1267430099331721 epoch: 3352 Epoch 3352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3352With loss 0.1267430099331721 epoch: 3353 Epoch 3353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3353With loss 0.1267430099331721 epoch: 3354 Epoch 3354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3354With loss 0.1267430099331721 epoch: 3355 Epoch 3355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3355With loss 0.1267430099331721 epoch: 3356 Epoch 3356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3356With loss 0.1267430099331721 epoch: 3357 Epoch 3357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3357With loss 0.1267430099331721 epoch: 3358 Epoch 3358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3358With loss 0.1267430099331721 epoch: 3359 Epoch 3359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3359With loss 0.1267430099331721 epoch: 3360 Epoch 3360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3360With loss 0.1267430099331721 epoch: 3361 Epoch 3361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3361With loss 0.1267430099331721 epoch: 3362 Epoch 3362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3362With loss 0.1267430099331721 epoch: 3363 Epoch 3363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3363With loss 0.1267430099331721 epoch: 3364 Epoch 3364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3364With loss 0.1267430099331721 epoch: 3365 Epoch 3365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3365With loss 0.1267430099331721 epoch: 3366 Epoch 3366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3366With loss 0.1267430099331721 epoch: 3367 Epoch 3367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3367With loss 0.1267430099331721 epoch: 3368 Epoch 3368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3368With loss 0.1267430099331721 epoch: 3369 Epoch 3369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3369With loss 0.1267430099331721 epoch: 3370 Epoch 3370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3370With loss 0.1267430099331721 epoch: 3371 Epoch 3371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3371With loss 0.1267430099331721 epoch: 3372 Epoch 3372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3372With loss 0.1267430099331721 epoch: 3373 Epoch 3373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3373With loss 0.1267430099331721 epoch: 3374 Epoch 3374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3374With loss 0.1267430099331721 epoch: 3375 Epoch 3375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3375With loss 0.1267430099331721 epoch: 3376 Epoch 3376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3376With loss 0.1267430099331721 epoch: 3377 Epoch 3377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3377With loss 0.1267430099331721 epoch: 3378 Epoch 3378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3378With loss 0.1267430099331721 epoch: 3379 Epoch 3379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3379With loss 0.1267430099331721 epoch: 3380 Epoch 3380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3380With loss 0.1267430099331721 epoch: 3381 Epoch 3381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3381With loss 0.1267430099331721 epoch: 3382 Epoch 3382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3382With loss 0.1267430099331721 epoch: 3383 Epoch 3383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3383With loss 0.1267430099331721 epoch: 3384 Epoch 3384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3384With loss 0.1267430099331721 epoch: 3385 Epoch 3385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3385With loss 0.1267430099331721 epoch: 3386 Epoch 3386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3386With loss 0.1267430099331721 epoch: 3387 Epoch 3387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3387With loss 0.1267430099331721 epoch: 3388 Epoch 3388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3388With loss 0.1267430099331721 epoch: 3389 Epoch 3389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3389With loss 0.1267430099331721 epoch: 3390 Epoch 3390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3390With loss 0.1267430099331721 epoch: 3391 Epoch 3391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3391With loss 0.1267430099331721 epoch: 3392 Epoch 3392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3392With loss 0.1267430099331721 epoch: 3393 Epoch 3393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3393With loss 0.1267430099331721 epoch: 3394 Epoch 3394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3394With loss 0.1267430099331721 epoch: 3395 Epoch 3395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3395With loss 0.1267430099331721 epoch: 3396 Epoch 3396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3396With loss 0.1267430099331721 epoch: 3397 Epoch 3397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3397With loss 0.1267430099331721 epoch: 3398 Epoch 3398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3398With loss 0.1267430099331721 epoch: 3399 Epoch 3399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3399With loss 0.1267430099331721 epoch: 3400 Epoch 3400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3400With loss 0.1267430099331721 epoch: 3401 Epoch 3401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3401With loss 0.1267430099331721 epoch: 3402 Epoch 3402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3402With loss 0.1267430099331721 epoch: 3403 Epoch 3403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3403With loss 0.1267430099331721 epoch: 3404 Epoch 3404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3404With loss 0.1267430099331721 epoch: 3405 Epoch 3405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3405With loss 0.1267430099331721 epoch: 3406 Epoch 3406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3406With loss 0.1267430099331721 epoch: 3407 Epoch 3407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3407With loss 0.1267430099331721 epoch: 3408 Epoch 3408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3408With loss 0.1267430099331721 epoch: 3409 Epoch 3409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3409With loss 0.1267430099331721 epoch: 3410 Epoch 3410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3410With loss 0.1267430099331721 epoch: 3411 Epoch 3411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3411With loss 0.1267430099331721 epoch: 3412 Epoch 3412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3412With loss 0.1267430099331721 epoch: 3413 Epoch 3413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3413With loss 0.1267430099331721 epoch: 3414 Epoch 3414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3414With loss 0.1267430099331721 epoch: 3415 Epoch 3415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3415With loss 0.1267430099331721 epoch: 3416 Epoch 3416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3416With loss 0.1267430099331721 epoch: 3417 Epoch 3417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3417With loss 0.1267430099331721 epoch: 3418 Epoch 3418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3418With loss 0.1267430099331721 epoch: 3419 Epoch 3419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3419With loss 0.1267430099331721 epoch: 3420 Epoch 3420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3420With loss 0.1267430099331721 epoch: 3421 Epoch 3421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3421With loss 0.1267430099331721 epoch: 3422 Epoch 3422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3422With loss 0.1267430099331721 epoch: 3423 Epoch 3423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3423With loss 0.1267430099331721 epoch: 3424 Epoch 3424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3424With loss 0.1267430099331721 epoch: 3425 Epoch 3425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3425With loss 0.1267430099331721 epoch: 3426 Epoch 3426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3426With loss 0.1267430099331721 epoch: 3427 Epoch 3427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3427With loss 0.1267430099331721 epoch: 3428 Epoch 3428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3428With loss 0.1267430099331721 epoch: 3429 Epoch 3429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3429With loss 0.1267430099331721 epoch: 3430 Epoch 3430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3430With loss 0.1267430099331721 epoch: 3431 Epoch 3431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3431With loss 0.1267430099331721 epoch: 3432 Epoch 3432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3432With loss 0.1267430099331721 epoch: 3433 Epoch 3433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3433With loss 0.1267430099331721 epoch: 3434 Epoch 3434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3434With loss 0.1267430099331721 epoch: 3435 Epoch 3435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3435With loss 0.1267430099331721 epoch: 3436 Epoch 3436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3436With loss 0.1267430099331721 epoch: 3437 Epoch 3437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3437With loss 0.1267430099331721 epoch: 3438 Epoch 3438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3438With loss 0.1267430099331721 epoch: 3439 Epoch 3439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3439With loss 0.1267430099331721 epoch: 3440 Epoch 3440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3440With loss 0.1267430099331721 epoch: 3441 Epoch 3441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3441With loss 0.1267430099331721 epoch: 3442 Epoch 3442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3442With loss 0.1267430099331721 epoch: 3443 Epoch 3443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3443With loss 0.1267430099331721 epoch: 3444 Epoch 3444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3444With loss 0.1267430099331721 epoch: 3445 Epoch 3445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3445With loss 0.1267430099331721 epoch: 3446 Epoch 3446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3446With loss 0.1267430099331721 epoch: 3447 Epoch 3447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3447With loss 0.1267430099331721 epoch: 3448 Epoch 3448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3448With loss 0.1267430099331721 epoch: 3449 Epoch 3449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3449With loss 0.1267430099331721 epoch: 3450 Epoch 3450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3450With loss 0.1267430099331721 epoch: 3451 Epoch 3451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3451With loss 0.1267430099331721 epoch: 3452 Epoch 3452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3452With loss 0.1267430099331721 epoch: 3453 Epoch 3453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3453With loss 0.1267430099331721 epoch: 3454 Epoch 3454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3454With loss 0.1267430099331721 epoch: 3455 Epoch 3455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3455With loss 0.1267430099331721 epoch: 3456 Epoch 3456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3456With loss 0.1267430099331721 epoch: 3457 Epoch 3457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3457With loss 0.1267430099331721 epoch: 3458 Epoch 3458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3458With loss 0.1267430099331721 epoch: 3459 Epoch 3459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3459With loss 0.1267430099331721 epoch: 3460 Epoch 3460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3460With loss 0.1267430099331721 epoch: 3461 Epoch 3461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3461With loss 0.1267430099331721 epoch: 3462 Epoch 3462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3462With loss 0.1267430099331721 epoch: 3463 Epoch 3463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3463With loss 0.1267430099331721 epoch: 3464 Epoch 3464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3464With loss 0.1267430099331721 epoch: 3465 Epoch 3465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3465With loss 0.1267430099331721 epoch: 3466 Epoch 3466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3466With loss 0.1267430099331721 epoch: 3467 Epoch 3467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3467With loss 0.1267430099331721 epoch: 3468 Epoch 3468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3468With loss 0.1267430099331721 epoch: 3469 Epoch 3469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3469With loss 0.1267430099331721 epoch: 3470 Epoch 3470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3470With loss 0.1267430099331721 epoch: 3471 Epoch 3471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3471With loss 0.1267430099331721 epoch: 3472 Epoch 3472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3472With loss 0.1267430099331721 epoch: 3473 Epoch 3473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3473With loss 0.1267430099331721 epoch: 3474 Epoch 3474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3474With loss 0.1267430099331721 epoch: 3475 Epoch 3475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3475With loss 0.1267430099331721 epoch: 3476 Epoch 3476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3476With loss 0.1267430099331721 epoch: 3477 Epoch 3477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3477With loss 0.1267430099331721 epoch: 3478 Epoch 3478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3478With loss 0.1267430099331721 epoch: 3479 Epoch 3479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3479With loss 0.1267430099331721 epoch: 3480 Epoch 3480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3480With loss 0.1267430099331721 epoch: 3481 Epoch 3481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3481With loss 0.1267430099331721 epoch: 3482 Epoch 3482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3482With loss 0.1267430099331721 epoch: 3483 Epoch 3483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3483With loss 0.1267430099331721 epoch: 3484 Epoch 3484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3484With loss 0.1267430099331721 epoch: 3485 Epoch 3485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3485With loss 0.1267430099331721 epoch: 3486 Epoch 3486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3486With loss 0.1267430099331721 epoch: 3487 Epoch 3487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3487With loss 0.1267430099331721 epoch: 3488 Epoch 3488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3488With loss 0.1267430099331721 epoch: 3489 Epoch 3489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3489With loss 0.1267430099331721 epoch: 3490 Epoch 3490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3490With loss 0.1267430099331721 epoch: 3491 Epoch 3491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3491With loss 0.1267430099331721 epoch: 3492 Epoch 3492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3492With loss 0.1267430099331721 epoch: 3493 Epoch 3493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3493With loss 0.1267430099331721 epoch: 3494 Epoch 3494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3494With loss 0.1267430099331721 epoch: 3495 Epoch 3495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3495With loss 0.1267430099331721 epoch: 3496 Epoch 3496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3496With loss 0.1267430099331721 epoch: 3497 Epoch 3497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3497With loss 0.1267430099331721 epoch: 3498 Epoch 3498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3498With loss 0.1267430099331721 epoch: 3499 Epoch 3499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3499With loss 0.1267430099331721 epoch: 3500 Epoch 3500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3500With loss 0.1267430099331721 epoch: 3501 Epoch 3501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3501With loss 0.1267430099331721 epoch: 3502 Epoch 3502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3502With loss 0.1267430099331721 epoch: 3503 Epoch 3503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3503With loss 0.1267430099331721 epoch: 3504 Epoch 3504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3504With loss 0.1267430099331721 epoch: 3505 Epoch 3505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3505With loss 0.1267430099331721 epoch: 3506 Epoch 3506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3506With loss 0.1267430099331721 epoch: 3507 Epoch 3507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3507With loss 0.1267430099331721 epoch: 3508 Epoch 3508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3508With loss 0.1267430099331721 epoch: 3509 Epoch 3509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3509With loss 0.1267430099331721 epoch: 3510 Epoch 3510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3510With loss 0.1267430099331721 epoch: 3511 Epoch 3511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3511With loss 0.1267430099331721 epoch: 3512 Epoch 3512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3512With loss 0.1267430099331721 epoch: 3513 Epoch 3513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3513With loss 0.1267430099331721 epoch: 3514 Epoch 3514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3514With loss 0.1267430099331721 epoch: 3515 Epoch 3515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3515With loss 0.1267430099331721 epoch: 3516 Epoch 3516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3516With loss 0.1267430099331721 epoch: 3517 Epoch 3517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3517With loss 0.1267430099331721 epoch: 3518 Epoch 3518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3518With loss 0.1267430099331721 epoch: 3519 Epoch 3519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3519With loss 0.1267430099331721 epoch: 3520 Epoch 3520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3520With loss 0.1267430099331721 epoch: 3521 Epoch 3521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3521With loss 0.1267430099331721 epoch: 3522 Epoch 3522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3522With loss 0.1267430099331721 epoch: 3523 Epoch 3523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3523With loss 0.1267430099331721 epoch: 3524 Epoch 3524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3524With loss 0.1267430099331721 epoch: 3525 Epoch 3525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3525With loss 0.1267430099331721 epoch: 3526 Epoch 3526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3526With loss 0.1267430099331721 epoch: 3527 Epoch 3527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3527With loss 0.1267430099331721 epoch: 3528 Epoch 3528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3528With loss 0.1267430099331721 epoch: 3529 Epoch 3529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3529With loss 0.1267430099331721 epoch: 3530 Epoch 3530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3530With loss 0.1267430099331721 epoch: 3531 Epoch 3531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3531With loss 0.1267430099331721 epoch: 3532 Epoch 3532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3532With loss 0.1267430099331721 epoch: 3533 Epoch 3533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3533With loss 0.1267430099331721 epoch: 3534 Epoch 3534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3534With loss 0.1267430099331721 epoch: 3535 Epoch 3535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3535With loss 0.1267430099331721 epoch: 3536 Epoch 3536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3536With loss 0.1267430099331721 epoch: 3537 Epoch 3537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3537With loss 0.1267430099331721 epoch: 3538 Epoch 3538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3538With loss 0.1267430099331721 epoch: 3539 Epoch 3539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3539With loss 0.1267430099331721 epoch: 3540 Epoch 3540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3540With loss 0.1267430099331721 epoch: 3541 Epoch 3541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3541With loss 0.1267430099331721 epoch: 3542 Epoch 3542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3542With loss 0.1267430099331721 epoch: 3543 Epoch 3543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3543With loss 0.1267430099331721 epoch: 3544 Epoch 3544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3544With loss 0.1267430099331721 epoch: 3545 Epoch 3545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3545With loss 0.1267430099331721 epoch: 3546 Epoch 3546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3546With loss 0.1267430099331721 epoch: 3547 Epoch 3547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3547With loss 0.1267430099331721 epoch: 3548 Epoch 3548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3548With loss 0.1267430099331721 epoch: 3549 Epoch 3549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3549With loss 0.1267430099331721 epoch: 3550 Epoch 3550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3550With loss 0.1267430099331721 epoch: 3551 Epoch 3551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3551With loss 0.1267430099331721 epoch: 3552 Epoch 3552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3552With loss 0.1267430099331721 epoch: 3553 Epoch 3553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3553With loss 0.1267430099331721 epoch: 3554 Epoch 3554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3554With loss 0.1267430099331721 epoch: 3555 Epoch 3555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3555With loss 0.1267430099331721 epoch: 3556 Epoch 3556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3556With loss 0.1267430099331721 epoch: 3557 Epoch 3557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3557With loss 0.1267430099331721 epoch: 3558 Epoch 3558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3558With loss 0.1267430099331721 epoch: 3559 Epoch 3559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3559With loss 0.1267430099331721 epoch: 3560 Epoch 3560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3560With loss 0.1267430099331721 epoch: 3561 Epoch 3561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3561With loss 0.1267430099331721 epoch: 3562 Epoch 3562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3562With loss 0.1267430099331721 epoch: 3563 Epoch 3563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3563With loss 0.1267430099331721 epoch: 3564 Epoch 3564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3564With loss 0.1267430099331721 epoch: 3565 Epoch 3565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3565With loss 0.1267430099331721 epoch: 3566 Epoch 3566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3566With loss 0.1267430099331721 epoch: 3567 Epoch 3567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3567With loss 0.1267430099331721 epoch: 3568 Epoch 3568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3568With loss 0.1267430099331721 epoch: 3569 Epoch 3569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3569With loss 0.1267430099331721 epoch: 3570 Epoch 3570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3570With loss 0.1267430099331721 epoch: 3571 Epoch 3571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3571With loss 0.1267430099331721 epoch: 3572 Epoch 3572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3572With loss 0.1267430099331721 epoch: 3573 Epoch 3573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3573With loss 0.1267430099331721 epoch: 3574 Epoch 3574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3574With loss 0.1267430099331721 epoch: 3575 Epoch 3575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3575With loss 0.1267430099331721 epoch: 3576 Epoch 3576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3576With loss 0.1267430099331721 epoch: 3577 Epoch 3577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3577With loss 0.1267430099331721 epoch: 3578 Epoch 3578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3578With loss 0.1267430099331721 epoch: 3579 Epoch 3579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3579With loss 0.1267430099331721 epoch: 3580 Epoch 3580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3580With loss 0.1267430099331721 epoch: 3581 Epoch 3581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3581With loss 0.1267430099331721 epoch: 3582 Epoch 3582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3582With loss 0.1267430099331721 epoch: 3583 Epoch 3583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3583With loss 0.1267430099331721 epoch: 3584 Epoch 3584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3584With loss 0.1267430099331721 epoch: 3585 Epoch 3585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3585With loss 0.1267430099331721 epoch: 3586 Epoch 3586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3586With loss 0.1267430099331721 epoch: 3587 Epoch 3587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3587With loss 0.1267430099331721 epoch: 3588 Epoch 3588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3588With loss 0.1267430099331721 epoch: 3589 Epoch 3589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3589With loss 0.1267430099331721 epoch: 3590 Epoch 3590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3590With loss 0.1267430099331721 epoch: 3591 Epoch 3591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3591With loss 0.1267430099331721 epoch: 3592 Epoch 3592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3592With loss 0.1267430099331721 epoch: 3593 Epoch 3593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3593With loss 0.1267430099331721 epoch: 3594 Epoch 3594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3594With loss 0.1267430099331721 epoch: 3595 Epoch 3595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3595With loss 0.1267430099331721 epoch: 3596 Epoch 3596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3596With loss 0.1267430099331721 epoch: 3597 Epoch 3597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3597With loss 0.1267430099331721 epoch: 3598 Epoch 3598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3598With loss 0.1267430099331721 epoch: 3599 Epoch 3599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3599With loss 0.1267430099331721 epoch: 3600 Epoch 3600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3600With loss 0.1267430099331721 epoch: 3601 Epoch 3601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3601With loss 0.1267430099331721 epoch: 3602 Epoch 3602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3602With loss 0.1267430099331721 epoch: 3603 Epoch 3603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3603With loss 0.1267430099331721 epoch: 3604 Epoch 3604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3604With loss 0.1267430099331721 epoch: 3605 Epoch 3605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3605With loss 0.1267430099331721 epoch: 3606 Epoch 3606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3606With loss 0.1267430099331721 epoch: 3607 Epoch 3607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3607With loss 0.1267430099331721 epoch: 3608 Epoch 3608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3608With loss 0.1267430099331721 epoch: 3609 Epoch 3609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3609With loss 0.1267430099331721 epoch: 3610 Epoch 3610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3610With loss 0.1267430099331721 epoch: 3611 Epoch 3611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3611With loss 0.1267430099331721 epoch: 3612 Epoch 3612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3612With loss 0.1267430099331721 epoch: 3613 Epoch 3613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3613With loss 0.1267430099331721 epoch: 3614 Epoch 3614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3614With loss 0.1267430099331721 epoch: 3615 Epoch 3615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3615With loss 0.1267430099331721 epoch: 3616 Epoch 3616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3616With loss 0.1267430099331721 epoch: 3617 Epoch 3617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3617With loss 0.1267430099331721 epoch: 3618 Epoch 3618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3618With loss 0.1267430099331721 epoch: 3619 Epoch 3619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3619With loss 0.1267430099331721 epoch: 3620 Epoch 3620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3620With loss 0.1267430099331721 epoch: 3621 Epoch 3621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3621With loss 0.1267430099331721 epoch: 3622 Epoch 3622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3622With loss 0.1267430099331721 epoch: 3623 Epoch 3623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3623With loss 0.1267430099331721 epoch: 3624 Epoch 3624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3624With loss 0.1267430099331721 epoch: 3625 Epoch 3625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3625With loss 0.1267430099331721 epoch: 3626 Epoch 3626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3626With loss 0.1267430099331721 epoch: 3627 Epoch 3627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3627With loss 0.1267430099331721 epoch: 3628 Epoch 3628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3628With loss 0.1267430099331721 epoch: 3629 Epoch 3629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3629With loss 0.1267430099331721 epoch: 3630 Epoch 3630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3630With loss 0.1267430099331721 epoch: 3631 Epoch 3631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3631With loss 0.1267430099331721 epoch: 3632 Epoch 3632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3632With loss 0.1267430099331721 epoch: 3633 Epoch 3633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3633With loss 0.1267430099331721 epoch: 3634 Epoch 3634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3634With loss 0.1267430099331721 epoch: 3635 Epoch 3635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3635With loss 0.1267430099331721 epoch: 3636 Epoch 3636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3636With loss 0.1267430099331721 epoch: 3637 Epoch 3637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3637With loss 0.1267430099331721 epoch: 3638 Epoch 3638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3638With loss 0.1267430099331721 epoch: 3639 Epoch 3639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3639With loss 0.1267430099331721 epoch: 3640 Epoch 3640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3640With loss 0.1267430099331721 epoch: 3641 Epoch 3641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3641With loss 0.1267430099331721 epoch: 3642 Epoch 3642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3642With loss 0.1267430099331721 epoch: 3643 Epoch 3643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3643With loss 0.1267430099331721 epoch: 3644 Epoch 3644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3644With loss 0.1267430099331721 epoch: 3645 Epoch 3645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3645With loss 0.1267430099331721 epoch: 3646 Epoch 3646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3646With loss 0.1267430099331721 epoch: 3647 Epoch 3647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3647With loss 0.1267430099331721 epoch: 3648 Epoch 3648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3648With loss 0.1267430099331721 epoch: 3649 Epoch 3649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3649With loss 0.1267430099331721 epoch: 3650 Epoch 3650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3650With loss 0.1267430099331721 epoch: 3651 Epoch 3651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3651With loss 0.1267430099331721 epoch: 3652 Epoch 3652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3652With loss 0.1267430099331721 epoch: 3653 Epoch 3653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3653With loss 0.1267430099331721 epoch: 3654 Epoch 3654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3654With loss 0.1267430099331721 epoch: 3655 Epoch 3655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3655With loss 0.1267430099331721 epoch: 3656 Epoch 3656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3656With loss 0.1267430099331721 epoch: 3657 Epoch 3657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3657With loss 0.1267430099331721 epoch: 3658 Epoch 3658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3658With loss 0.1267430099331721 epoch: 3659 Epoch 3659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3659With loss 0.1267430099331721 epoch: 3660 Epoch 3660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3660With loss 0.1267430099331721 epoch: 3661 Epoch 3661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3661With loss 0.1267430099331721 epoch: 3662 Epoch 3662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3662With loss 0.1267430099331721 epoch: 3663 Epoch 3663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3663With loss 0.1267430099331721 epoch: 3664 Epoch 3664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3664With loss 0.1267430099331721 epoch: 3665 Epoch 3665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3665With loss 0.1267430099331721 epoch: 3666 Epoch 3666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3666With loss 0.1267430099331721 epoch: 3667 Epoch 3667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3667With loss 0.1267430099331721 epoch: 3668 Epoch 3668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3668With loss 0.1267430099331721 epoch: 3669 Epoch 3669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3669With loss 0.1267430099331721 epoch: 3670 Epoch 3670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3670With loss 0.1267430099331721 epoch: 3671 Epoch 3671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3671With loss 0.1267430099331721 epoch: 3672 Epoch 3672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3672With loss 0.1267430099331721 epoch: 3673 Epoch 3673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3673With loss 0.1267430099331721 epoch: 3674 Epoch 3674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3674With loss 0.1267430099331721 epoch: 3675 Epoch 3675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3675With loss 0.1267430099331721 epoch: 3676 Epoch 3676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3676With loss 0.1267430099331721 epoch: 3677 Epoch 3677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3677With loss 0.1267430099331721 epoch: 3678 Epoch 3678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3678With loss 0.1267430099331721 epoch: 3679 Epoch 3679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3679With loss 0.1267430099331721 epoch: 3680 Epoch 3680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3680With loss 0.1267430099331721 epoch: 3681 Epoch 3681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3681With loss 0.1267430099331721 epoch: 3682 Epoch 3682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3682With loss 0.1267430099331721 epoch: 3683 Epoch 3683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3683With loss 0.1267430099331721 epoch: 3684 Epoch 3684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3684With loss 0.1267430099331721 epoch: 3685 Epoch 3685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3685With loss 0.1267430099331721 epoch: 3686 Epoch 3686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3686With loss 0.1267430099331721 epoch: 3687 Epoch 3687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3687With loss 0.1267430099331721 epoch: 3688 Epoch 3688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3688With loss 0.1267430099331721 epoch: 3689 Epoch 3689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3689With loss 0.1267430099331721 epoch: 3690 Epoch 3690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3690With loss 0.1267430099331721 epoch: 3691 Epoch 3691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3691With loss 0.1267430099331721 epoch: 3692 Epoch 3692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3692With loss 0.1267430099331721 epoch: 3693 Epoch 3693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3693With loss 0.1267430099331721 epoch: 3694 Epoch 3694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3694With loss 0.1267430099331721 epoch: 3695 Epoch 3695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3695With loss 0.1267430099331721 epoch: 3696 Epoch 3696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3696With loss 0.1267430099331721 epoch: 3697 Epoch 3697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3697With loss 0.1267430099331721 epoch: 3698 Epoch 3698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3698With loss 0.1267430099331721 epoch: 3699 Epoch 3699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3699With loss 0.1267430099331721 epoch: 3700 Epoch 3700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3700With loss 0.1267430099331721 epoch: 3701 Epoch 3701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3701With loss 0.1267430099331721 epoch: 3702 Epoch 3702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3702With loss 0.1267430099331721 epoch: 3703 Epoch 3703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3703With loss 0.1267430099331721 epoch: 3704 Epoch 3704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3704With loss 0.1267430099331721 epoch: 3705 Epoch 3705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3705With loss 0.1267430099331721 epoch: 3706 Epoch 3706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3706With loss 0.1267430099331721 epoch: 3707 Epoch 3707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3707With loss 0.1267430099331721 epoch: 3708 Epoch 3708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3708With loss 0.1267430099331721 epoch: 3709 Epoch 3709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3709With loss 0.1267430099331721 epoch: 3710 Epoch 3710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3710With loss 0.1267430099331721 epoch: 3711 Epoch 3711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3711With loss 0.1267430099331721 epoch: 3712 Epoch 3712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3712With loss 0.1267430099331721 epoch: 3713 Epoch 3713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3713With loss 0.1267430099331721 epoch: 3714 Epoch 3714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3714With loss 0.1267430099331721 epoch: 3715 Epoch 3715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3715With loss 0.1267430099331721 epoch: 3716 Epoch 3716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3716With loss 0.1267430099331721 epoch: 3717 Epoch 3717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3717With loss 0.1267430099331721 epoch: 3718 Epoch 3718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3718With loss 0.1267430099331721 epoch: 3719 Epoch 3719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3719With loss 0.1267430099331721 epoch: 3720 Epoch 3720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3720With loss 0.1267430099331721 epoch: 3721 Epoch 3721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3721With loss 0.1267430099331721 epoch: 3722 Epoch 3722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3722With loss 0.1267430099331721 epoch: 3723 Epoch 3723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3723With loss 0.1267430099331721 epoch: 3724 Epoch 3724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3724With loss 0.1267430099331721 epoch: 3725 Epoch 3725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3725With loss 0.1267430099331721 epoch: 3726 Epoch 3726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3726With loss 0.1267430099331721 epoch: 3727 Epoch 3727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3727With loss 0.1267430099331721 epoch: 3728 Epoch 3728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3728With loss 0.1267430099331721 epoch: 3729 Epoch 3729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3729With loss 0.1267430099331721 epoch: 3730 Epoch 3730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3730With loss 0.1267430099331721 epoch: 3731 Epoch 3731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3731With loss 0.1267430099331721 epoch: 3732 Epoch 3732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3732With loss 0.1267430099331721 epoch: 3733 Epoch 3733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3733With loss 0.1267430099331721 epoch: 3734 Epoch 3734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3734With loss 0.1267430099331721 epoch: 3735 Epoch 3735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3735With loss 0.1267430099331721 epoch: 3736 Epoch 3736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3736With loss 0.1267430099331721 epoch: 3737 Epoch 3737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3737With loss 0.1267430099331721 epoch: 3738 Epoch 3738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3738With loss 0.1267430099331721 epoch: 3739 Epoch 3739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3739With loss 0.1267430099331721 epoch: 3740 Epoch 3740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3740With loss 0.1267430099331721 epoch: 3741 Epoch 3741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3741With loss 0.1267430099331721 epoch: 3742 Epoch 3742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3742With loss 0.1267430099331721 epoch: 3743 Epoch 3743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3743With loss 0.1267430099331721 epoch: 3744 Epoch 3744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3744With loss 0.1267430099331721 epoch: 3745 Epoch 3745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3745With loss 0.1267430099331721 epoch: 3746 Epoch 3746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3746With loss 0.1267430099331721 epoch: 3747 Epoch 3747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3747With loss 0.1267430099331721 epoch: 3748 Epoch 3748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3748With loss 0.1267430099331721 epoch: 3749 Epoch 3749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3749With loss 0.1267430099331721 epoch: 3750 Epoch 3750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3750With loss 0.1267430099331721 epoch: 3751 Epoch 3751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3751With loss 0.1267430099331721 epoch: 3752 Epoch 3752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3752With loss 0.1267430099331721 epoch: 3753 Epoch 3753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3753With loss 0.1267430099331721 epoch: 3754 Epoch 3754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3754With loss 0.1267430099331721 epoch: 3755 Epoch 3755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3755With loss 0.1267430099331721 epoch: 3756 Epoch 3756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3756With loss 0.1267430099331721 epoch: 3757 Epoch 3757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3757With loss 0.1267430099331721 epoch: 3758 Epoch 3758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3758With loss 0.1267430099331721 epoch: 3759 Epoch 3759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3759With loss 0.1267430099331721 epoch: 3760 Epoch 3760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3760With loss 0.1267430099331721 epoch: 3761 Epoch 3761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3761With loss 0.1267430099331721 epoch: 3762 Epoch 3762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3762With loss 0.1267430099331721 epoch: 3763 Epoch 3763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3763With loss 0.1267430099331721 epoch: 3764 Epoch 3764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3764With loss 0.1267430099331721 epoch: 3765 Epoch 3765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3765With loss 0.1267430099331721 epoch: 3766 Epoch 3766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3766With loss 0.1267430099331721 epoch: 3767 Epoch 3767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3767With loss 0.1267430099331721 epoch: 3768 Epoch 3768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3768With loss 0.1267430099331721 epoch: 3769 Epoch 3769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3769With loss 0.1267430099331721 epoch: 3770 Epoch 3770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3770With loss 0.1267430099331721 epoch: 3771 Epoch 3771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3771With loss 0.1267430099331721 epoch: 3772 Epoch 3772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3772With loss 0.1267430099331721 epoch: 3773 Epoch 3773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3773With loss 0.1267430099331721 epoch: 3774 Epoch 3774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3774With loss 0.1267430099331721 epoch: 3775 Epoch 3775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3775With loss 0.1267430099331721 epoch: 3776 Epoch 3776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3776With loss 0.1267430099331721 epoch: 3777 Epoch 3777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3777With loss 0.1267430099331721 epoch: 3778 Epoch 3778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3778With loss 0.1267430099331721 epoch: 3779 Epoch 3779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3779With loss 0.1267430099331721 epoch: 3780 Epoch 3780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3780With loss 0.1267430099331721 epoch: 3781 Epoch 3781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3781With loss 0.1267430099331721 epoch: 3782 Epoch 3782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3782With loss 0.1267430099331721 epoch: 3783 Epoch 3783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3783With loss 0.1267430099331721 epoch: 3784 Epoch 3784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3784With loss 0.1267430099331721 epoch: 3785 Epoch 3785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3785With loss 0.1267430099331721 epoch: 3786 Epoch 3786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3786With loss 0.1267430099331721 epoch: 3787 Epoch 3787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3787With loss 0.1267430099331721 epoch: 3788 Epoch 3788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3788With loss 0.1267430099331721 epoch: 3789 Epoch 3789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3789With loss 0.1267430099331721 epoch: 3790 Epoch 3790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3790With loss 0.1267430099331721 epoch: 3791 Epoch 3791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3791With loss 0.1267430099331721 epoch: 3792 Epoch 3792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3792With loss 0.1267430099331721 epoch: 3793 Epoch 3793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3793With loss 0.1267430099331721 epoch: 3794 Epoch 3794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3794With loss 0.1267430099331721 epoch: 3795 Epoch 3795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3795With loss 0.1267430099331721 epoch: 3796 Epoch 3796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3796With loss 0.1267430099331721 epoch: 3797 Epoch 3797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3797With loss 0.1267430099331721 epoch: 3798 Epoch 3798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3798With loss 0.1267430099331721 epoch: 3799 Epoch 3799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3799With loss 0.1267430099331721 epoch: 3800 Epoch 3800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3800With loss 0.1267430099331721 epoch: 3801 Epoch 3801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3801With loss 0.1267430099331721 epoch: 3802 Epoch 3802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3802With loss 0.1267430099331721 epoch: 3803 Epoch 3803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3803With loss 0.1267430099331721 epoch: 3804 Epoch 3804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3804With loss 0.1267430099331721 epoch: 3805 Epoch 3805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3805With loss 0.1267430099331721 epoch: 3806 Epoch 3806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3806With loss 0.1267430099331721 epoch: 3807 Epoch 3807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3807With loss 0.1267430099331721 epoch: 3808 Epoch 3808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3808With loss 0.1267430099331721 epoch: 3809 Epoch 3809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3809With loss 0.1267430099331721 epoch: 3810 Epoch 3810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3810With loss 0.1267430099331721 epoch: 3811 Epoch 3811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3811With loss 0.1267430099331721 epoch: 3812 Epoch 3812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3812With loss 0.1267430099331721 epoch: 3813 Epoch 3813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3813With loss 0.1267430099331721 epoch: 3814 Epoch 3814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3814With loss 0.1267430099331721 epoch: 3815 Epoch 3815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3815With loss 0.1267430099331721 epoch: 3816 Epoch 3816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3816With loss 0.1267430099331721 epoch: 3817 Epoch 3817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3817With loss 0.1267430099331721 epoch: 3818 Epoch 3818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3818With loss 0.1267430099331721 epoch: 3819 Epoch 3819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3819With loss 0.1267430099331721 epoch: 3820 Epoch 3820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3820With loss 0.1267430099331721 epoch: 3821 Epoch 3821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3821With loss 0.1267430099331721 epoch: 3822 Epoch 3822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3822With loss 0.1267430099331721 epoch: 3823 Epoch 3823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3823With loss 0.1267430099331721 epoch: 3824 Epoch 3824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3824With loss 0.1267430099331721 epoch: 3825 Epoch 3825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3825With loss 0.1267430099331721 epoch: 3826 Epoch 3826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3826With loss 0.1267430099331721 epoch: 3827 Epoch 3827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3827With loss 0.1267430099331721 epoch: 3828 Epoch 3828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3828With loss 0.1267430099331721 epoch: 3829 Epoch 3829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3829With loss 0.1267430099331721 epoch: 3830 Epoch 3830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3830With loss 0.1267430099331721 epoch: 3831 Epoch 3831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3831With loss 0.1267430099331721 epoch: 3832 Epoch 3832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3832With loss 0.1267430099331721 epoch: 3833 Epoch 3833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3833With loss 0.1267430099331721 epoch: 3834 Epoch 3834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3834With loss 0.1267430099331721 epoch: 3835 Epoch 3835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3835With loss 0.1267430099331721 epoch: 3836 Epoch 3836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3836With loss 0.1267430099331721 epoch: 3837 Epoch 3837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3837With loss 0.1267430099331721 epoch: 3838 Epoch 3838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3838With loss 0.1267430099331721 epoch: 3839 Epoch 3839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3839With loss 0.1267430099331721 epoch: 3840 Epoch 3840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3840With loss 0.1267430099331721 epoch: 3841 Epoch 3841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3841With loss 0.1267430099331721 epoch: 3842 Epoch 3842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3842With loss 0.1267430099331721 epoch: 3843 Epoch 3843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3843With loss 0.1267430099331721 epoch: 3844 Epoch 3844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3844With loss 0.1267430099331721 epoch: 3845 Epoch 3845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3845With loss 0.1267430099331721 epoch: 3846 Epoch 3846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3846With loss 0.1267430099331721 epoch: 3847 Epoch 3847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3847With loss 0.1267430099331721 epoch: 3848 Epoch 3848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3848With loss 0.1267430099331721 epoch: 3849 Epoch 3849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3849With loss 0.1267430099331721 epoch: 3850 Epoch 3850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3850With loss 0.1267430099331721 epoch: 3851 Epoch 3851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3851With loss 0.1267430099331721 epoch: 3852 Epoch 3852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3852With loss 0.1267430099331721 epoch: 3853 Epoch 3853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3853With loss 0.1267430099331721 epoch: 3854 Epoch 3854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3854With loss 0.1267430099331721 epoch: 3855 Epoch 3855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3855With loss 0.1267430099331721 epoch: 3856 Epoch 3856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3856With loss 0.1267430099331721 epoch: 3857 Epoch 3857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3857With loss 0.1267430099331721 epoch: 3858 Epoch 3858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3858With loss 0.1267430099331721 epoch: 3859 Epoch 3859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3859With loss 0.1267430099331721 epoch: 3860 Epoch 3860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3860With loss 0.1267430099331721 epoch: 3861 Epoch 3861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3861With loss 0.1267430099331721 epoch: 3862 Epoch 3862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3862With loss 0.1267430099331721 epoch: 3863 Epoch 3863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3863With loss 0.1267430099331721 epoch: 3864 Epoch 3864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3864With loss 0.1267430099331721 epoch: 3865 Epoch 3865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3865With loss 0.1267430099331721 epoch: 3866 Epoch 3866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3866With loss 0.1267430099331721 epoch: 3867 Epoch 3867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3867With loss 0.1267430099331721 epoch: 3868 Epoch 3868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3868With loss 0.1267430099331721 epoch: 3869 Epoch 3869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3869With loss 0.1267430099331721 epoch: 3870 Epoch 3870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3870With loss 0.1267430099331721 epoch: 3871 Epoch 3871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3871With loss 0.1267430099331721 epoch: 3872 Epoch 3872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3872With loss 0.1267430099331721 epoch: 3873 Epoch 3873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3873With loss 0.1267430099331721 epoch: 3874 Epoch 3874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3874With loss 0.1267430099331721 epoch: 3875 Epoch 3875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3875With loss 0.1267430099331721 epoch: 3876 Epoch 3876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3876With loss 0.1267430099331721 epoch: 3877 Epoch 3877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3877With loss 0.1267430099331721 epoch: 3878 Epoch 3878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3878With loss 0.1267430099331721 epoch: 3879 Epoch 3879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3879With loss 0.1267430099331721 epoch: 3880 Epoch 3880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3880With loss 0.1267430099331721 epoch: 3881 Epoch 3881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3881With loss 0.1267430099331721 epoch: 3882 Epoch 3882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3882With loss 0.1267430099331721 epoch: 3883 Epoch 3883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3883With loss 0.1267430099331721 epoch: 3884 Epoch 3884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3884With loss 0.1267430099331721 epoch: 3885 Epoch 3885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3885With loss 0.1267430099331721 epoch: 3886 Epoch 3886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3886With loss 0.1267430099331721 epoch: 3887 Epoch 3887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3887With loss 0.1267430099331721 epoch: 3888 Epoch 3888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3888With loss 0.1267430099331721 epoch: 3889 Epoch 3889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3889With loss 0.1267430099331721 epoch: 3890 Epoch 3890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3890With loss 0.1267430099331721 epoch: 3891 Epoch 3891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3891With loss 0.1267430099331721 epoch: 3892 Epoch 3892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3892With loss 0.1267430099331721 epoch: 3893 Epoch 3893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3893With loss 0.1267430099331721 epoch: 3894 Epoch 3894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3894With loss 0.1267430099331721 epoch: 3895 Epoch 3895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3895With loss 0.1267430099331721 epoch: 3896 Epoch 3896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3896With loss 0.1267430099331721 epoch: 3897 Epoch 3897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3897With loss 0.1267430099331721 epoch: 3898 Epoch 3898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3898With loss 0.1267430099331721 epoch: 3899 Epoch 3899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3899With loss 0.1267430099331721 epoch: 3900 Epoch 3900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3900With loss 0.1267430099331721 epoch: 3901 Epoch 3901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3901With loss 0.1267430099331721 epoch: 3902 Epoch 3902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3902With loss 0.1267430099331721 epoch: 3903 Epoch 3903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3903With loss 0.1267430099331721 epoch: 3904 Epoch 3904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3904With loss 0.1267430099331721 epoch: 3905 Epoch 3905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3905With loss 0.1267430099331721 epoch: 3906 Epoch 3906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3906With loss 0.1267430099331721 epoch: 3907 Epoch 3907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3907With loss 0.1267430099331721 epoch: 3908 Epoch 3908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3908With loss 0.1267430099331721 epoch: 3909 Epoch 3909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3909With loss 0.1267430099331721 epoch: 3910 Epoch 3910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3910With loss 0.1267430099331721 epoch: 3911 Epoch 3911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3911With loss 0.1267430099331721 epoch: 3912 Epoch 3912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3912With loss 0.1267430099331721 epoch: 3913 Epoch 3913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3913With loss 0.1267430099331721 epoch: 3914 Epoch 3914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3914With loss 0.1267430099331721 epoch: 3915 Epoch 3915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3915With loss 0.1267430099331721 epoch: 3916 Epoch 3916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3916With loss 0.1267430099331721 epoch: 3917 Epoch 3917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3917With loss 0.1267430099331721 epoch: 3918 Epoch 3918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3918With loss 0.1267430099331721 epoch: 3919 Epoch 3919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3919With loss 0.1267430099331721 epoch: 3920 Epoch 3920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3920With loss 0.1267430099331721 epoch: 3921 Epoch 3921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3921With loss 0.1267430099331721 epoch: 3922 Epoch 3922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3922With loss 0.1267430099331721 epoch: 3923 Epoch 3923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3923With loss 0.1267430099331721 epoch: 3924 Epoch 3924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3924With loss 0.1267430099331721 epoch: 3925 Epoch 3925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3925With loss 0.1267430099331721 epoch: 3926 Epoch 3926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3926With loss 0.1267430099331721 epoch: 3927 Epoch 3927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3927With loss 0.1267430099331721 epoch: 3928 Epoch 3928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3928With loss 0.1267430099331721 epoch: 3929 Epoch 3929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3929With loss 0.1267430099331721 epoch: 3930 Epoch 3930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3930With loss 0.1267430099331721 epoch: 3931 Epoch 3931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3931With loss 0.1267430099331721 epoch: 3932 Epoch 3932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3932With loss 0.1267430099331721 epoch: 3933 Epoch 3933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3933With loss 0.1267430099331721 epoch: 3934 Epoch 3934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3934With loss 0.1267430099331721 epoch: 3935 Epoch 3935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3935With loss 0.1267430099331721 epoch: 3936 Epoch 3936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3936With loss 0.1267430099331721 epoch: 3937 Epoch 3937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3937With loss 0.1267430099331721 epoch: 3938 Epoch 3938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3938With loss 0.1267430099331721 epoch: 3939 Epoch 3939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3939With loss 0.1267430099331721 epoch: 3940 Epoch 3940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3940With loss 0.1267430099331721 epoch: 3941 Epoch 3941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3941With loss 0.1267430099331721 epoch: 3942 Epoch 3942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3942With loss 0.1267430099331721 epoch: 3943 Epoch 3943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3943With loss 0.1267430099331721 epoch: 3944 Epoch 3944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3944With loss 0.1267430099331721 epoch: 3945 Epoch 3945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3945With loss 0.1267430099331721 epoch: 3946 Epoch 3946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3946With loss 0.1267430099331721 epoch: 3947 Epoch 3947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3947With loss 0.1267430099331721 epoch: 3948 Epoch 3948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3948With loss 0.1267430099331721 epoch: 3949 Epoch 3949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3949With loss 0.1267430099331721 epoch: 3950 Epoch 3950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3950With loss 0.1267430099331721 epoch: 3951 Epoch 3951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3951With loss 0.1267430099331721 epoch: 3952 Epoch 3952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3952With loss 0.1267430099331721 epoch: 3953 Epoch 3953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3953With loss 0.1267430099331721 epoch: 3954 Epoch 3954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3954With loss 0.1267430099331721 epoch: 3955 Epoch 3955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3955With loss 0.1267430099331721 epoch: 3956 Epoch 3956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3956With loss 0.1267430099331721 epoch: 3957 Epoch 3957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3957With loss 0.1267430099331721 epoch: 3958 Epoch 3958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3958With loss 0.1267430099331721 epoch: 3959 Epoch 3959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3959With loss 0.1267430099331721 epoch: 3960 Epoch 3960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3960With loss 0.1267430099331721 epoch: 3961 Epoch 3961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3961With loss 0.1267430099331721 epoch: 3962 Epoch 3962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3962With loss 0.1267430099331721 epoch: 3963 Epoch 3963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3963With loss 0.1267430099331721 epoch: 3964 Epoch 3964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3964With loss 0.1267430099331721 epoch: 3965 Epoch 3965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3965With loss 0.1267430099331721 epoch: 3966 Epoch 3966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3966With loss 0.1267430099331721 epoch: 3967 Epoch 3967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3967With loss 0.1267430099331721 epoch: 3968 Epoch 3968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3968With loss 0.1267430099331721 epoch: 3969 Epoch 3969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3969With loss 0.1267430099331721 epoch: 3970 Epoch 3970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3970With loss 0.1267430099331721 epoch: 3971 Epoch 3971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3971With loss 0.1267430099331721 epoch: 3972 Epoch 3972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3972With loss 0.1267430099331721 epoch: 3973 Epoch 3973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3973With loss 0.1267430099331721 epoch: 3974 Epoch 3974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3974With loss 0.1267430099331721 epoch: 3975 Epoch 3975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3975With loss 0.1267430099331721 epoch: 3976 Epoch 3976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3976With loss 0.1267430099331721 epoch: 3977 Epoch 3977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3977With loss 0.1267430099331721 epoch: 3978 Epoch 3978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3978With loss 0.1267430099331721 epoch: 3979 Epoch 3979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3979With loss 0.1267430099331721 epoch: 3980 Epoch 3980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3980With loss 0.1267430099331721 epoch: 3981 Epoch 3981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3981With loss 0.1267430099331721 epoch: 3982 Epoch 3982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3982With loss 0.1267430099331721 epoch: 3983 Epoch 3983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3983With loss 0.1267430099331721 epoch: 3984 Epoch 3984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3984With loss 0.1267430099331721 epoch: 3985 Epoch 3985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3985With loss 0.1267430099331721 epoch: 3986 Epoch 3986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3986With loss 0.1267430099331721 epoch: 3987 Epoch 3987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3987With loss 0.1267430099331721 epoch: 3988 Epoch 3988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3988With loss 0.1267430099331721 epoch: 3989 Epoch 3989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3989With loss 0.1267430099331721 epoch: 3990 Epoch 3990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3990With loss 0.1267430099331721 epoch: 3991 Epoch 3991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3991With loss 0.1267430099331721 epoch: 3992 Epoch 3992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3992With loss 0.1267430099331721 epoch: 3993 Epoch 3993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3993With loss 0.1267430099331721 epoch: 3994 Epoch 3994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3994With loss 0.1267430099331721 epoch: 3995 Epoch 3995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3995With loss 0.1267430099331721 epoch: 3996 Epoch 3996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3996With loss 0.1267430099331721 epoch: 3997 Epoch 3997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3997With loss 0.1267430099331721 epoch: 3998 Epoch 3998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3998With loss 0.1267430099331721 epoch: 3999 Epoch 3999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 3999With loss 0.1267430099331721 epoch: 4000 Epoch 4000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4000With loss 0.1267430099331721 epoch: 4001 Epoch 4001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4001With loss 0.1267430099331721 epoch: 4002 Epoch 4002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4002With loss 0.1267430099331721 epoch: 4003 Epoch 4003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4003With loss 0.1267430099331721 epoch: 4004 Epoch 4004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4004With loss 0.1267430099331721 epoch: 4005 Epoch 4005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4005With loss 0.1267430099331721 epoch: 4006 Epoch 4006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4006With loss 0.1267430099331721 epoch: 4007 Epoch 4007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4007With loss 0.1267430099331721 epoch: 4008 Epoch 4008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4008With loss 0.1267430099331721 epoch: 4009 Epoch 4009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4009With loss 0.1267430099331721 epoch: 4010 Epoch 4010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4010With loss 0.1267430099331721 epoch: 4011 Epoch 4011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4011With loss 0.1267430099331721 epoch: 4012 Epoch 4012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4012With loss 0.1267430099331721 epoch: 4013 Epoch 4013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4013With loss 0.1267430099331721 epoch: 4014 Epoch 4014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4014With loss 0.1267430099331721 epoch: 4015 Epoch 4015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4015With loss 0.1267430099331721 epoch: 4016 Epoch 4016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4016With loss 0.1267430099331721 epoch: 4017 Epoch 4017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4017With loss 0.1267430099331721 epoch: 4018 Epoch 4018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4018With loss 0.1267430099331721 epoch: 4019 Epoch 4019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4019With loss 0.1267430099331721 epoch: 4020 Epoch 4020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4020With loss 0.1267430099331721 epoch: 4021 Epoch 4021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4021With loss 0.1267430099331721 epoch: 4022 Epoch 4022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4022With loss 0.1267430099331721 epoch: 4023 Epoch 4023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4023With loss 0.1267430099331721 epoch: 4024 Epoch 4024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4024With loss 0.1267430099331721 epoch: 4025 Epoch 4025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4025With loss 0.1267430099331721 epoch: 4026 Epoch 4026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4026With loss 0.1267430099331721 epoch: 4027 Epoch 4027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4027With loss 0.1267430099331721 epoch: 4028 Epoch 4028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4028With loss 0.1267430099331721 epoch: 4029 Epoch 4029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4029With loss 0.1267430099331721 epoch: 4030 Epoch 4030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4030With loss 0.1267430099331721 epoch: 4031 Epoch 4031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4031With loss 0.1267430099331721 epoch: 4032 Epoch 4032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4032With loss 0.1267430099331721 epoch: 4033 Epoch 4033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4033With loss 0.1267430099331721 epoch: 4034 Epoch 4034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4034With loss 0.1267430099331721 epoch: 4035 Epoch 4035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4035With loss 0.1267430099331721 epoch: 4036 Epoch 4036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4036With loss 0.1267430099331721 epoch: 4037 Epoch 4037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4037With loss 0.1267430099331721 epoch: 4038 Epoch 4038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4038With loss 0.1267430099331721 epoch: 4039 Epoch 4039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4039With loss 0.1267430099331721 epoch: 4040 Epoch 4040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4040With loss 0.1267430099331721 epoch: 4041 Epoch 4041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4041With loss 0.1267430099331721 epoch: 4042 Epoch 4042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4042With loss 0.1267430099331721 epoch: 4043 Epoch 4043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4043With loss 0.1267430099331721 epoch: 4044 Epoch 4044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4044With loss 0.1267430099331721 epoch: 4045 Epoch 4045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4045With loss 0.1267430099331721 epoch: 4046 Epoch 4046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4046With loss 0.1267430099331721 epoch: 4047 Epoch 4047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4047With loss 0.1267430099331721 epoch: 4048 Epoch 4048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4048With loss 0.1267430099331721 epoch: 4049 Epoch 4049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4049With loss 0.1267430099331721 epoch: 4050 Epoch 4050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4050With loss 0.1267430099331721 epoch: 4051 Epoch 4051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4051With loss 0.1267430099331721 epoch: 4052 Epoch 4052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4052With loss 0.1267430099331721 epoch: 4053 Epoch 4053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4053With loss 0.1267430099331721 epoch: 4054 Epoch 4054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4054With loss 0.1267430099331721 epoch: 4055 Epoch 4055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4055With loss 0.1267430099331721 epoch: 4056 Epoch 4056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4056With loss 0.1267430099331721 epoch: 4057 Epoch 4057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4057With loss 0.1267430099331721 epoch: 4058 Epoch 4058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4058With loss 0.1267430099331721 epoch: 4059 Epoch 4059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4059With loss 0.1267430099331721 epoch: 4060 Epoch 4060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4060With loss 0.1267430099331721 epoch: 4061 Epoch 4061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4061With loss 0.1267430099331721 epoch: 4062 Epoch 4062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4062With loss 0.1267430099331721 epoch: 4063 Epoch 4063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4063With loss 0.1267430099331721 epoch: 4064 Epoch 4064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4064With loss 0.1267430099331721 epoch: 4065 Epoch 4065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4065With loss 0.1267430099331721 epoch: 4066 Epoch 4066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4066With loss 0.1267430099331721 epoch: 4067 Epoch 4067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4067With loss 0.1267430099331721 epoch: 4068 Epoch 4068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4068With loss 0.1267430099331721 epoch: 4069 Epoch 4069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4069With loss 0.1267430099331721 epoch: 4070 Epoch 4070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4070With loss 0.1267430099331721 epoch: 4071 Epoch 4071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4071With loss 0.1267430099331721 epoch: 4072 Epoch 4072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4072With loss 0.1267430099331721 epoch: 4073 Epoch 4073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4073With loss 0.1267430099331721 epoch: 4074 Epoch 4074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4074With loss 0.1267430099331721 epoch: 4075 Epoch 4075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4075With loss 0.1267430099331721 epoch: 4076 Epoch 4076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4076With loss 0.1267430099331721 epoch: 4077 Epoch 4077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4077With loss 0.1267430099331721 epoch: 4078 Epoch 4078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4078With loss 0.1267430099331721 epoch: 4079 Epoch 4079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4079With loss 0.1267430099331721 epoch: 4080 Epoch 4080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4080With loss 0.1267430099331721 epoch: 4081 Epoch 4081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4081With loss 0.1267430099331721 epoch: 4082 Epoch 4082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4082With loss 0.1267430099331721 epoch: 4083 Epoch 4083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4083With loss 0.1267430099331721 epoch: 4084 Epoch 4084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4084With loss 0.1267430099331721 epoch: 4085 Epoch 4085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4085With loss 0.1267430099331721 epoch: 4086 Epoch 4086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4086With loss 0.1267430099331721 epoch: 4087 Epoch 4087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4087With loss 0.1267430099331721 epoch: 4088 Epoch 4088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4088With loss 0.1267430099331721 epoch: 4089 Epoch 4089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4089With loss 0.1267430099331721 epoch: 4090 Epoch 4090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4090With loss 0.1267430099331721 epoch: 4091 Epoch 4091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4091With loss 0.1267430099331721 epoch: 4092 Epoch 4092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4092With loss 0.1267430099331721 epoch: 4093 Epoch 4093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4093With loss 0.1267430099331721 epoch: 4094 Epoch 4094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4094With loss 0.1267430099331721 epoch: 4095 Epoch 4095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4095With loss 0.1267430099331721 epoch: 4096 Epoch 4096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4096With loss 0.1267430099331721 epoch: 4097 Epoch 4097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4097With loss 0.1267430099331721 epoch: 4098 Epoch 4098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4098With loss 0.1267430099331721 epoch: 4099 Epoch 4099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4099With loss 0.1267430099331721 epoch: 4100 Epoch 4100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4100With loss 0.1267430099331721 epoch: 4101 Epoch 4101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4101With loss 0.1267430099331721 epoch: 4102 Epoch 4102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4102With loss 0.1267430099331721 epoch: 4103 Epoch 4103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4103With loss 0.1267430099331721 epoch: 4104 Epoch 4104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4104With loss 0.1267430099331721 epoch: 4105 Epoch 4105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4105With loss 0.1267430099331721 epoch: 4106 Epoch 4106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4106With loss 0.1267430099331721 epoch: 4107 Epoch 4107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4107With loss 0.1267430099331721 epoch: 4108 Epoch 4108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4108With loss 0.1267430099331721 epoch: 4109 Epoch 4109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4109With loss 0.1267430099331721 epoch: 4110 Epoch 4110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4110With loss 0.1267430099331721 epoch: 4111 Epoch 4111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4111With loss 0.1267430099331721 epoch: 4112 Epoch 4112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4112With loss 0.1267430099331721 epoch: 4113 Epoch 4113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4113With loss 0.1267430099331721 epoch: 4114 Epoch 4114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4114With loss 0.1267430099331721 epoch: 4115 Epoch 4115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4115With loss 0.1267430099331721 epoch: 4116 Epoch 4116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4116With loss 0.1267430099331721 epoch: 4117 Epoch 4117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4117With loss 0.1267430099331721 epoch: 4118 Epoch 4118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4118With loss 0.1267430099331721 epoch: 4119 Epoch 4119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4119With loss 0.1267430099331721 epoch: 4120 Epoch 4120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4120With loss 0.1267430099331721 epoch: 4121 Epoch 4121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4121With loss 0.1267430099331721 epoch: 4122 Epoch 4122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4122With loss 0.1267430099331721 epoch: 4123 Epoch 4123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4123With loss 0.1267430099331721 epoch: 4124 Epoch 4124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4124With loss 0.1267430099331721 epoch: 4125 Epoch 4125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4125With loss 0.1267430099331721 epoch: 4126 Epoch 4126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4126With loss 0.1267430099331721 epoch: 4127 Epoch 4127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4127With loss 0.1267430099331721 epoch: 4128 Epoch 4128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4128With loss 0.1267430099331721 epoch: 4129 Epoch 4129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4129With loss 0.1267430099331721 epoch: 4130 Epoch 4130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4130With loss 0.1267430099331721 epoch: 4131 Epoch 4131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4131With loss 0.1267430099331721 epoch: 4132 Epoch 4132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4132With loss 0.1267430099331721 epoch: 4133 Epoch 4133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4133With loss 0.1267430099331721 epoch: 4134 Epoch 4134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4134With loss 0.1267430099331721 epoch: 4135 Epoch 4135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4135With loss 0.1267430099331721 epoch: 4136 Epoch 4136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4136With loss 0.1267430099331721 epoch: 4137 Epoch 4137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4137With loss 0.1267430099331721 epoch: 4138 Epoch 4138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4138With loss 0.1267430099331721 epoch: 4139 Epoch 4139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4139With loss 0.1267430099331721 epoch: 4140 Epoch 4140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4140With loss 0.1267430099331721 epoch: 4141 Epoch 4141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4141With loss 0.1267430099331721 epoch: 4142 Epoch 4142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4142With loss 0.1267430099331721 epoch: 4143 Epoch 4143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4143With loss 0.1267430099331721 epoch: 4144 Epoch 4144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4144With loss 0.1267430099331721 epoch: 4145 Epoch 4145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4145With loss 0.1267430099331721 epoch: 4146 Epoch 4146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4146With loss 0.1267430099331721 epoch: 4147 Epoch 4147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4147With loss 0.1267430099331721 epoch: 4148 Epoch 4148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4148With loss 0.1267430099331721 epoch: 4149 Epoch 4149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4149With loss 0.1267430099331721 epoch: 4150 Epoch 4150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4150With loss 0.1267430099331721 epoch: 4151 Epoch 4151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4151With loss 0.1267430099331721 epoch: 4152 Epoch 4152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4152With loss 0.1267430099331721 epoch: 4153 Epoch 4153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4153With loss 0.1267430099331721 epoch: 4154 Epoch 4154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4154With loss 0.1267430099331721 epoch: 4155 Epoch 4155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4155With loss 0.1267430099331721 epoch: 4156 Epoch 4156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4156With loss 0.1267430099331721 epoch: 4157 Epoch 4157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4157With loss 0.1267430099331721 epoch: 4158 Epoch 4158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4158With loss 0.1267430099331721 epoch: 4159 Epoch 4159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4159With loss 0.1267430099331721 epoch: 4160 Epoch 4160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4160With loss 0.1267430099331721 epoch: 4161 Epoch 4161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4161With loss 0.1267430099331721 epoch: 4162 Epoch 4162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4162With loss 0.1267430099331721 epoch: 4163 Epoch 4163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4163With loss 0.1267430099331721 epoch: 4164 Epoch 4164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4164With loss 0.1267430099331721 epoch: 4165 Epoch 4165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4165With loss 0.1267430099331721 epoch: 4166 Epoch 4166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4166With loss 0.1267430099331721 epoch: 4167 Epoch 4167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4167With loss 0.1267430099331721 epoch: 4168 Epoch 4168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4168With loss 0.1267430099331721 epoch: 4169 Epoch 4169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4169With loss 0.1267430099331721 epoch: 4170 Epoch 4170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4170With loss 0.1267430099331721 epoch: 4171 Epoch 4171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4171With loss 0.1267430099331721 epoch: 4172 Epoch 4172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4172With loss 0.1267430099331721 epoch: 4173 Epoch 4173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4173With loss 0.1267430099331721 epoch: 4174 Epoch 4174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4174With loss 0.1267430099331721 epoch: 4175 Epoch 4175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4175With loss 0.1267430099331721 epoch: 4176 Epoch 4176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4176With loss 0.1267430099331721 epoch: 4177 Epoch 4177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4177With loss 0.1267430099331721 epoch: 4178 Epoch 4178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4178With loss 0.1267430099331721 epoch: 4179 Epoch 4179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4179With loss 0.1267430099331721 epoch: 4180 Epoch 4180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4180With loss 0.1267430099331721 epoch: 4181 Epoch 4181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4181With loss 0.1267430099331721 epoch: 4182 Epoch 4182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4182With loss 0.1267430099331721 epoch: 4183 Epoch 4183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4183With loss 0.1267430099331721 epoch: 4184 Epoch 4184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4184With loss 0.1267430099331721 epoch: 4185 Epoch 4185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4185With loss 0.1267430099331721 epoch: 4186 Epoch 4186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4186With loss 0.1267430099331721 epoch: 4187 Epoch 4187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4187With loss 0.1267430099331721 epoch: 4188 Epoch 4188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4188With loss 0.1267430099331721 epoch: 4189 Epoch 4189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4189With loss 0.1267430099331721 epoch: 4190 Epoch 4190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4190With loss 0.1267430099331721 epoch: 4191 Epoch 4191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4191With loss 0.1267430099331721 epoch: 4192 Epoch 4192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4192With loss 0.1267430099331721 epoch: 4193 Epoch 4193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4193With loss 0.1267430099331721 epoch: 4194 Epoch 4194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4194With loss 0.1267430099331721 epoch: 4195 Epoch 4195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4195With loss 0.1267430099331721 epoch: 4196 Epoch 4196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4196With loss 0.1267430099331721 epoch: 4197 Epoch 4197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4197With loss 0.1267430099331721 epoch: 4198 Epoch 4198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4198With loss 0.1267430099331721 epoch: 4199 Epoch 4199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4199With loss 0.1267430099331721 epoch: 4200 Epoch 4200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4200With loss 0.1267430099331721 epoch: 4201 Epoch 4201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4201With loss 0.1267430099331721 epoch: 4202 Epoch 4202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4202With loss 0.1267430099331721 epoch: 4203 Epoch 4203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4203With loss 0.1267430099331721 epoch: 4204 Epoch 4204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4204With loss 0.1267430099331721 epoch: 4205 Epoch 4205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4205With loss 0.1267430099331721 epoch: 4206 Epoch 4206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4206With loss 0.1267430099331721 epoch: 4207 Epoch 4207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4207With loss 0.1267430099331721 epoch: 4208 Epoch 4208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4208With loss 0.1267430099331721 epoch: 4209 Epoch 4209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4209With loss 0.1267430099331721 epoch: 4210 Epoch 4210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4210With loss 0.1267430099331721 epoch: 4211 Epoch 4211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4211With loss 0.1267430099331721 epoch: 4212 Epoch 4212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4212With loss 0.1267430099331721 epoch: 4213 Epoch 4213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4213With loss 0.1267430099331721 epoch: 4214 Epoch 4214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4214With loss 0.1267430099331721 epoch: 4215 Epoch 4215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4215With loss 0.1267430099331721 epoch: 4216 Epoch 4216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4216With loss 0.1267430099331721 epoch: 4217 Epoch 4217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4217With loss 0.1267430099331721 epoch: 4218 Epoch 4218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4218With loss 0.1267430099331721 epoch: 4219 Epoch 4219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4219With loss 0.1267430099331721 epoch: 4220 Epoch 4220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4220With loss 0.1267430099331721 epoch: 4221 Epoch 4221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4221With loss 0.1267430099331721 epoch: 4222 Epoch 4222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4222With loss 0.1267430099331721 epoch: 4223 Epoch 4223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4223With loss 0.1267430099331721 epoch: 4224 Epoch 4224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4224With loss 0.1267430099331721 epoch: 4225 Epoch 4225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4225With loss 0.1267430099331721 epoch: 4226 Epoch 4226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4226With loss 0.1267430099331721 epoch: 4227 Epoch 4227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4227With loss 0.1267430099331721 epoch: 4228 Epoch 4228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4228With loss 0.1267430099331721 epoch: 4229 Epoch 4229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4229With loss 0.1267430099331721 epoch: 4230 Epoch 4230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4230With loss 0.1267430099331721 epoch: 4231 Epoch 4231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4231With loss 0.1267430099331721 epoch: 4232 Epoch 4232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4232With loss 0.1267430099331721 epoch: 4233 Epoch 4233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4233With loss 0.1267430099331721 epoch: 4234 Epoch 4234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4234With loss 0.1267430099331721 epoch: 4235 Epoch 4235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4235With loss 0.1267430099331721 epoch: 4236 Epoch 4236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4236With loss 0.1267430099331721 epoch: 4237 Epoch 4237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4237With loss 0.1267430099331721 epoch: 4238 Epoch 4238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4238With loss 0.1267430099331721 epoch: 4239 Epoch 4239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4239With loss 0.1267430099331721 epoch: 4240 Epoch 4240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4240With loss 0.1267430099331721 epoch: 4241 Epoch 4241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4241With loss 0.1267430099331721 epoch: 4242 Epoch 4242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4242With loss 0.1267430099331721 epoch: 4243 Epoch 4243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4243With loss 0.1267430099331721 epoch: 4244 Epoch 4244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4244With loss 0.1267430099331721 epoch: 4245 Epoch 4245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4245With loss 0.1267430099331721 epoch: 4246 Epoch 4246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4246With loss 0.1267430099331721 epoch: 4247 Epoch 4247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4247With loss 0.1267430099331721 epoch: 4248 Epoch 4248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4248With loss 0.1267430099331721 epoch: 4249 Epoch 4249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4249With loss 0.1267430099331721 epoch: 4250 Epoch 4250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4250With loss 0.1267430099331721 epoch: 4251 Epoch 4251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4251With loss 0.1267430099331721 epoch: 4252 Epoch 4252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4252With loss 0.1267430099331721 epoch: 4253 Epoch 4253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4253With loss 0.1267430099331721 epoch: 4254 Epoch 4254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4254With loss 0.1267430099331721 epoch: 4255 Epoch 4255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4255With loss 0.1267430099331721 epoch: 4256 Epoch 4256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4256With loss 0.1267430099331721 epoch: 4257 Epoch 4257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4257With loss 0.1267430099331721 epoch: 4258 Epoch 4258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4258With loss 0.1267430099331721 epoch: 4259 Epoch 4259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4259With loss 0.1267430099331721 epoch: 4260 Epoch 4260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4260With loss 0.1267430099331721 epoch: 4261 Epoch 4261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4261With loss 0.1267430099331721 epoch: 4262 Epoch 4262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4262With loss 0.1267430099331721 epoch: 4263 Epoch 4263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4263With loss 0.1267430099331721 epoch: 4264 Epoch 4264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4264With loss 0.1267430099331721 epoch: 4265 Epoch 4265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4265With loss 0.1267430099331721 epoch: 4266 Epoch 4266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4266With loss 0.1267430099331721 epoch: 4267 Epoch 4267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4267With loss 0.1267430099331721 epoch: 4268 Epoch 4268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4268With loss 0.1267430099331721 epoch: 4269 Epoch 4269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4269With loss 0.1267430099331721 epoch: 4270 Epoch 4270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4270With loss 0.1267430099331721 epoch: 4271 Epoch 4271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4271With loss 0.1267430099331721 epoch: 4272 Epoch 4272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4272With loss 0.1267430099331721 epoch: 4273 Epoch 4273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4273With loss 0.1267430099331721 epoch: 4274 Epoch 4274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4274With loss 0.1267430099331721 epoch: 4275 Epoch 4275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4275With loss 0.1267430099331721 epoch: 4276 Epoch 4276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4276With loss 0.1267430099331721 epoch: 4277 Epoch 4277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4277With loss 0.1267430099331721 epoch: 4278 Epoch 4278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4278With loss 0.1267430099331721 epoch: 4279 Epoch 4279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4279With loss 0.1267430099331721 epoch: 4280 Epoch 4280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4280With loss 0.1267430099331721 epoch: 4281 Epoch 4281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4281With loss 0.1267430099331721 epoch: 4282 Epoch 4282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4282With loss 0.1267430099331721 epoch: 4283 Epoch 4283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4283With loss 0.1267430099331721 epoch: 4284 Epoch 4284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4284With loss 0.1267430099331721 epoch: 4285 Epoch 4285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4285With loss 0.1267430099331721 epoch: 4286 Epoch 4286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4286With loss 0.1267430099331721 epoch: 4287 Epoch 4287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4287With loss 0.1267430099331721 epoch: 4288 Epoch 4288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4288With loss 0.1267430099331721 epoch: 4289 Epoch 4289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4289With loss 0.1267430099331721 epoch: 4290 Epoch 4290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4290With loss 0.1267430099331721 epoch: 4291 Epoch 4291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4291With loss 0.1267430099331721 epoch: 4292 Epoch 4292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4292With loss 0.1267430099331721 epoch: 4293 Epoch 4293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4293With loss 0.1267430099331721 epoch: 4294 Epoch 4294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4294With loss 0.1267430099331721 epoch: 4295 Epoch 4295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4295With loss 0.1267430099331721 epoch: 4296 Epoch 4296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4296With loss 0.1267430099331721 epoch: 4297 Epoch 4297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4297With loss 0.1267430099331721 epoch: 4298 Epoch 4298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4298With loss 0.1267430099331721 epoch: 4299 Epoch 4299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4299With loss 0.1267430099331721 epoch: 4300 Epoch 4300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4300With loss 0.1267430099331721 epoch: 4301 Epoch 4301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4301With loss 0.1267430099331721 epoch: 4302 Epoch 4302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4302With loss 0.1267430099331721 epoch: 4303 Epoch 4303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4303With loss 0.1267430099331721 epoch: 4304 Epoch 4304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4304With loss 0.1267430099331721 epoch: 4305 Epoch 4305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4305With loss 0.1267430099331721 epoch: 4306 Epoch 4306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4306With loss 0.1267430099331721 epoch: 4307 Epoch 4307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4307With loss 0.1267430099331721 epoch: 4308 Epoch 4308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4308With loss 0.1267430099331721 epoch: 4309 Epoch 4309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4309With loss 0.1267430099331721 epoch: 4310 Epoch 4310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4310With loss 0.1267430099331721 epoch: 4311 Epoch 4311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4311With loss 0.1267430099331721 epoch: 4312 Epoch 4312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4312With loss 0.1267430099331721 epoch: 4313 Epoch 4313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4313With loss 0.1267430099331721 epoch: 4314 Epoch 4314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4314With loss 0.1267430099331721 epoch: 4315 Epoch 4315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4315With loss 0.1267430099331721 epoch: 4316 Epoch 4316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4316With loss 0.1267430099331721 epoch: 4317 Epoch 4317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4317With loss 0.1267430099331721 epoch: 4318 Epoch 4318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4318With loss 0.1267430099331721 epoch: 4319 Epoch 4319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4319With loss 0.1267430099331721 epoch: 4320 Epoch 4320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4320With loss 0.1267430099331721 epoch: 4321 Epoch 4321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4321With loss 0.1267430099331721 epoch: 4322 Epoch 4322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4322With loss 0.1267430099331721 epoch: 4323 Epoch 4323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4323With loss 0.1267430099331721 epoch: 4324 Epoch 4324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4324With loss 0.1267430099331721 epoch: 4325 Epoch 4325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4325With loss 0.1267430099331721 epoch: 4326 Epoch 4326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4326With loss 0.1267430099331721 epoch: 4327 Epoch 4327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4327With loss 0.1267430099331721 epoch: 4328 Epoch 4328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4328With loss 0.1267430099331721 epoch: 4329 Epoch 4329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4329With loss 0.1267430099331721 epoch: 4330 Epoch 4330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4330With loss 0.1267430099331721 epoch: 4331 Epoch 4331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4331With loss 0.1267430099331721 epoch: 4332 Epoch 4332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4332With loss 0.1267430099331721 epoch: 4333 Epoch 4333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4333With loss 0.1267430099331721 epoch: 4334 Epoch 4334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4334With loss 0.1267430099331721 epoch: 4335 Epoch 4335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4335With loss 0.1267430099331721 epoch: 4336 Epoch 4336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4336With loss 0.1267430099331721 epoch: 4337 Epoch 4337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4337With loss 0.1267430099331721 epoch: 4338 Epoch 4338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4338With loss 0.1267430099331721 epoch: 4339 Epoch 4339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4339With loss 0.1267430099331721 epoch: 4340 Epoch 4340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4340With loss 0.1267430099331721 epoch: 4341 Epoch 4341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4341With loss 0.1267430099331721 epoch: 4342 Epoch 4342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4342With loss 0.1267430099331721 epoch: 4343 Epoch 4343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4343With loss 0.1267430099331721 epoch: 4344 Epoch 4344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4344With loss 0.1267430099331721 epoch: 4345 Epoch 4345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4345With loss 0.1267430099331721 epoch: 4346 Epoch 4346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4346With loss 0.1267430099331721 epoch: 4347 Epoch 4347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4347With loss 0.1267430099331721 epoch: 4348 Epoch 4348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4348With loss 0.1267430099331721 epoch: 4349 Epoch 4349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4349With loss 0.1267430099331721 epoch: 4350 Epoch 4350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4350With loss 0.1267430099331721 epoch: 4351 Epoch 4351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4351With loss 0.1267430099331721 epoch: 4352 Epoch 4352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4352With loss 0.1267430099331721 epoch: 4353 Epoch 4353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4353With loss 0.1267430099331721 epoch: 4354 Epoch 4354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4354With loss 0.1267430099331721 epoch: 4355 Epoch 4355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4355With loss 0.1267430099331721 epoch: 4356 Epoch 4356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4356With loss 0.1267430099331721 epoch: 4357 Epoch 4357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4357With loss 0.1267430099331721 epoch: 4358 Epoch 4358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4358With loss 0.1267430099331721 epoch: 4359 Epoch 4359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4359With loss 0.1267430099331721 epoch: 4360 Epoch 4360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4360With loss 0.1267430099331721 epoch: 4361 Epoch 4361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4361With loss 0.1267430099331721 epoch: 4362 Epoch 4362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4362With loss 0.1267430099331721 epoch: 4363 Epoch 4363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4363With loss 0.1267430099331721 epoch: 4364 Epoch 4364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4364With loss 0.1267430099331721 epoch: 4365 Epoch 4365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4365With loss 0.1267430099331721 epoch: 4366 Epoch 4366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4366With loss 0.1267430099331721 epoch: 4367 Epoch 4367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4367With loss 0.1267430099331721 epoch: 4368 Epoch 4368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4368With loss 0.1267430099331721 epoch: 4369 Epoch 4369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4369With loss 0.1267430099331721 epoch: 4370 Epoch 4370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4370With loss 0.1267430099331721 epoch: 4371 Epoch 4371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4371With loss 0.1267430099331721 epoch: 4372 Epoch 4372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4372With loss 0.1267430099331721 epoch: 4373 Epoch 4373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4373With loss 0.1267430099331721 epoch: 4374 Epoch 4374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4374With loss 0.1267430099331721 epoch: 4375 Epoch 4375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4375With loss 0.1267430099331721 epoch: 4376 Epoch 4376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4376With loss 0.1267430099331721 epoch: 4377 Epoch 4377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4377With loss 0.1267430099331721 epoch: 4378 Epoch 4378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4378With loss 0.1267430099331721 epoch: 4379 Epoch 4379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4379With loss 0.1267430099331721 epoch: 4380 Epoch 4380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4380With loss 0.1267430099331721 epoch: 4381 Epoch 4381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4381With loss 0.1267430099331721 epoch: 4382 Epoch 4382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4382With loss 0.1267430099331721 epoch: 4383 Epoch 4383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4383With loss 0.1267430099331721 epoch: 4384 Epoch 4384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4384With loss 0.1267430099331721 epoch: 4385 Epoch 4385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4385With loss 0.1267430099331721 epoch: 4386 Epoch 4386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4386With loss 0.1267430099331721 epoch: 4387 Epoch 4387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4387With loss 0.1267430099331721 epoch: 4388 Epoch 4388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4388With loss 0.1267430099331721 epoch: 4389 Epoch 4389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4389With loss 0.1267430099331721 epoch: 4390 Epoch 4390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4390With loss 0.1267430099331721 epoch: 4391 Epoch 4391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4391With loss 0.1267430099331721 epoch: 4392 Epoch 4392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4392With loss 0.1267430099331721 epoch: 4393 Epoch 4393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4393With loss 0.1267430099331721 epoch: 4394 Epoch 4394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4394With loss 0.1267430099331721 epoch: 4395 Epoch 4395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4395With loss 0.1267430099331721 epoch: 4396 Epoch 4396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4396With loss 0.1267430099331721 epoch: 4397 Epoch 4397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4397With loss 0.1267430099331721 epoch: 4398 Epoch 4398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4398With loss 0.1267430099331721 epoch: 4399 Epoch 4399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4399With loss 0.1267430099331721 epoch: 4400 Epoch 4400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4400With loss 0.1267430099331721 epoch: 4401 Epoch 4401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4401With loss 0.1267430099331721 epoch: 4402 Epoch 4402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4402With loss 0.1267430099331721 epoch: 4403 Epoch 4403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4403With loss 0.1267430099331721 epoch: 4404 Epoch 4404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4404With loss 0.1267430099331721 epoch: 4405 Epoch 4405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4405With loss 0.1267430099331721 epoch: 4406 Epoch 4406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4406With loss 0.1267430099331721 epoch: 4407 Epoch 4407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4407With loss 0.1267430099331721 epoch: 4408 Epoch 4408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4408With loss 0.1267430099331721 epoch: 4409 Epoch 4409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4409With loss 0.1267430099331721 epoch: 4410 Epoch 4410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4410With loss 0.1267430099331721 epoch: 4411 Epoch 4411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4411With loss 0.1267430099331721 epoch: 4412 Epoch 4412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4412With loss 0.1267430099331721 epoch: 4413 Epoch 4413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4413With loss 0.1267430099331721 epoch: 4414 Epoch 4414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4414With loss 0.1267430099331721 epoch: 4415 Epoch 4415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4415With loss 0.1267430099331721 epoch: 4416 Epoch 4416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4416With loss 0.1267430099331721 epoch: 4417 Epoch 4417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4417With loss 0.1267430099331721 epoch: 4418 Epoch 4418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4418With loss 0.1267430099331721 epoch: 4419 Epoch 4419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4419With loss 0.1267430099331721 epoch: 4420 Epoch 4420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4420With loss 0.1267430099331721 epoch: 4421 Epoch 4421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4421With loss 0.1267430099331721 epoch: 4422 Epoch 4422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4422With loss 0.1267430099331721 epoch: 4423 Epoch 4423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4423With loss 0.1267430099331721 epoch: 4424 Epoch 4424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4424With loss 0.1267430099331721 epoch: 4425 Epoch 4425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4425With loss 0.1267430099331721 epoch: 4426 Epoch 4426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4426With loss 0.1267430099331721 epoch: 4427 Epoch 4427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4427With loss 0.1267430099331721 epoch: 4428 Epoch 4428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4428With loss 0.1267430099331721 epoch: 4429 Epoch 4429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4429With loss 0.1267430099331721 epoch: 4430 Epoch 4430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4430With loss 0.1267430099331721 epoch: 4431 Epoch 4431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4431With loss 0.1267430099331721 epoch: 4432 Epoch 4432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4432With loss 0.1267430099331721 epoch: 4433 Epoch 4433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4433With loss 0.1267430099331721 epoch: 4434 Epoch 4434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4434With loss 0.1267430099331721 epoch: 4435 Epoch 4435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4435With loss 0.1267430099331721 epoch: 4436 Epoch 4436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4436With loss 0.1267430099331721 epoch: 4437 Epoch 4437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4437With loss 0.1267430099331721 epoch: 4438 Epoch 4438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4438With loss 0.1267430099331721 epoch: 4439 Epoch 4439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4439With loss 0.1267430099331721 epoch: 4440 Epoch 4440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4440With loss 0.1267430099331721 epoch: 4441 Epoch 4441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4441With loss 0.1267430099331721 epoch: 4442 Epoch 4442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4442With loss 0.1267430099331721 epoch: 4443 Epoch 4443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4443With loss 0.1267430099331721 epoch: 4444 Epoch 4444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4444With loss 0.1267430099331721 epoch: 4445 Epoch 4445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4445With loss 0.1267430099331721 epoch: 4446 Epoch 4446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4446With loss 0.1267430099331721 epoch: 4447 Epoch 4447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4447With loss 0.1267430099331721 epoch: 4448 Epoch 4448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4448With loss 0.1267430099331721 epoch: 4449 Epoch 4449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4449With loss 0.1267430099331721 epoch: 4450 Epoch 4450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4450With loss 0.1267430099331721 epoch: 4451 Epoch 4451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4451With loss 0.1267430099331721 epoch: 4452 Epoch 4452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4452With loss 0.1267430099331721 epoch: 4453 Epoch 4453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4453With loss 0.1267430099331721 epoch: 4454 Epoch 4454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4454With loss 0.1267430099331721 epoch: 4455 Epoch 4455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4455With loss 0.1267430099331721 epoch: 4456 Epoch 4456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4456With loss 0.1267430099331721 epoch: 4457 Epoch 4457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4457With loss 0.1267430099331721 epoch: 4458 Epoch 4458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4458With loss 0.1267430099331721 epoch: 4459 Epoch 4459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4459With loss 0.1267430099331721 epoch: 4460 Epoch 4460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4460With loss 0.1267430099331721 epoch: 4461 Epoch 4461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4461With loss 0.1267430099331721 epoch: 4462 Epoch 4462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4462With loss 0.1267430099331721 epoch: 4463 Epoch 4463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4463With loss 0.1267430099331721 epoch: 4464 Epoch 4464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4464With loss 0.1267430099331721 epoch: 4465 Epoch 4465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4465With loss 0.1267430099331721 epoch: 4466 Epoch 4466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4466With loss 0.1267430099331721 epoch: 4467 Epoch 4467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4467With loss 0.1267430099331721 epoch: 4468 Epoch 4468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4468With loss 0.1267430099331721 epoch: 4469 Epoch 4469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4469With loss 0.1267430099331721 epoch: 4470 Epoch 4470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4470With loss 0.1267430099331721 epoch: 4471 Epoch 4471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4471With loss 0.1267430099331721 epoch: 4472 Epoch 4472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4472With loss 0.1267430099331721 epoch: 4473 Epoch 4473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4473With loss 0.1267430099331721 epoch: 4474 Epoch 4474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4474With loss 0.1267430099331721 epoch: 4475 Epoch 4475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4475With loss 0.1267430099331721 epoch: 4476 Epoch 4476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4476With loss 0.1267430099331721 epoch: 4477 Epoch 4477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4477With loss 0.1267430099331721 epoch: 4478 Epoch 4478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4478With loss 0.1267430099331721 epoch: 4479 Epoch 4479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4479With loss 0.1267430099331721 epoch: 4480 Epoch 4480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4480With loss 0.1267430099331721 epoch: 4481 Epoch 4481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4481With loss 0.1267430099331721 epoch: 4482 Epoch 4482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4482With loss 0.1267430099331721 epoch: 4483 Epoch 4483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4483With loss 0.1267430099331721 epoch: 4484 Epoch 4484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4484With loss 0.1267430099331721 epoch: 4485 Epoch 4485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4485With loss 0.1267430099331721 epoch: 4486 Epoch 4486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4486With loss 0.1267430099331721 epoch: 4487 Epoch 4487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4487With loss 0.1267430099331721 epoch: 4488 Epoch 4488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4488With loss 0.1267430099331721 epoch: 4489 Epoch 4489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4489With loss 0.1267430099331721 epoch: 4490 Epoch 4490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4490With loss 0.1267430099331721 epoch: 4491 Epoch 4491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4491With loss 0.1267430099331721 epoch: 4492 Epoch 4492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4492With loss 0.1267430099331721 epoch: 4493 Epoch 4493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4493With loss 0.1267430099331721 epoch: 4494 Epoch 4494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4494With loss 0.1267430099331721 epoch: 4495 Epoch 4495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4495With loss 0.1267430099331721 epoch: 4496 Epoch 4496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4496With loss 0.1267430099331721 epoch: 4497 Epoch 4497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4497With loss 0.1267430099331721 epoch: 4498 Epoch 4498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4498With loss 0.1267430099331721 epoch: 4499 Epoch 4499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4499With loss 0.1267430099331721 epoch: 4500 Epoch 4500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4500With loss 0.1267430099331721 epoch: 4501 Epoch 4501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4501With loss 0.1267430099331721 epoch: 4502 Epoch 4502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4502With loss 0.1267430099331721 epoch: 4503 Epoch 4503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4503With loss 0.1267430099331721 epoch: 4504 Epoch 4504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4504With loss 0.1267430099331721 epoch: 4505 Epoch 4505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4505With loss 0.1267430099331721 epoch: 4506 Epoch 4506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4506With loss 0.1267430099331721 epoch: 4507 Epoch 4507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4507With loss 0.1267430099331721 epoch: 4508 Epoch 4508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4508With loss 0.1267430099331721 epoch: 4509 Epoch 4509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4509With loss 0.1267430099331721 epoch: 4510 Epoch 4510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4510With loss 0.1267430099331721 epoch: 4511 Epoch 4511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4511With loss 0.1267430099331721 epoch: 4512 Epoch 4512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4512With loss 0.1267430099331721 epoch: 4513 Epoch 4513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4513With loss 0.1267430099331721 epoch: 4514 Epoch 4514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4514With loss 0.1267430099331721 epoch: 4515 Epoch 4515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4515With loss 0.1267430099331721 epoch: 4516 Epoch 4516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4516With loss 0.1267430099331721 epoch: 4517 Epoch 4517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4517With loss 0.1267430099331721 epoch: 4518 Epoch 4518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4518With loss 0.1267430099331721 epoch: 4519 Epoch 4519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4519With loss 0.1267430099331721 epoch: 4520 Epoch 4520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4520With loss 0.1267430099331721 epoch: 4521 Epoch 4521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4521With loss 0.1267430099331721 epoch: 4522 Epoch 4522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4522With loss 0.1267430099331721 epoch: 4523 Epoch 4523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4523With loss 0.1267430099331721 epoch: 4524 Epoch 4524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4524With loss 0.1267430099331721 epoch: 4525 Epoch 4525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4525With loss 0.1267430099331721 epoch: 4526 Epoch 4526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4526With loss 0.1267430099331721 epoch: 4527 Epoch 4527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4527With loss 0.1267430099331721 epoch: 4528 Epoch 4528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4528With loss 0.1267430099331721 epoch: 4529 Epoch 4529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4529With loss 0.1267430099331721 epoch: 4530 Epoch 4530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4530With loss 0.1267430099331721 epoch: 4531 Epoch 4531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4531With loss 0.1267430099331721 epoch: 4532 Epoch 4532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4532With loss 0.1267430099331721 epoch: 4533 Epoch 4533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4533With loss 0.1267430099331721 epoch: 4534 Epoch 4534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4534With loss 0.1267430099331721 epoch: 4535 Epoch 4535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4535With loss 0.1267430099331721 epoch: 4536 Epoch 4536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4536With loss 0.1267430099331721 epoch: 4537 Epoch 4537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4537With loss 0.1267430099331721 epoch: 4538 Epoch 4538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4538With loss 0.1267430099331721 epoch: 4539 Epoch 4539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4539With loss 0.1267430099331721 epoch: 4540 Epoch 4540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4540With loss 0.1267430099331721 epoch: 4541 Epoch 4541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4541With loss 0.1267430099331721 epoch: 4542 Epoch 4542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4542With loss 0.1267430099331721 epoch: 4543 Epoch 4543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4543With loss 0.1267430099331721 epoch: 4544 Epoch 4544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4544With loss 0.1267430099331721 epoch: 4545 Epoch 4545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4545With loss 0.1267430099331721 epoch: 4546 Epoch 4546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4546With loss 0.1267430099331721 epoch: 4547 Epoch 4547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4547With loss 0.1267430099331721 epoch: 4548 Epoch 4548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4548With loss 0.1267430099331721 epoch: 4549 Epoch 4549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4549With loss 0.1267430099331721 epoch: 4550 Epoch 4550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4550With loss 0.1267430099331721 epoch: 4551 Epoch 4551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4551With loss 0.1267430099331721 epoch: 4552 Epoch 4552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4552With loss 0.1267430099331721 epoch: 4553 Epoch 4553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4553With loss 0.1267430099331721 epoch: 4554 Epoch 4554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4554With loss 0.1267430099331721 epoch: 4555 Epoch 4555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4555With loss 0.1267430099331721 epoch: 4556 Epoch 4556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4556With loss 0.1267430099331721 epoch: 4557 Epoch 4557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4557With loss 0.1267430099331721 epoch: 4558 Epoch 4558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4558With loss 0.1267430099331721 epoch: 4559 Epoch 4559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4559With loss 0.1267430099331721 epoch: 4560 Epoch 4560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4560With loss 0.1267430099331721 epoch: 4561 Epoch 4561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4561With loss 0.1267430099331721 epoch: 4562 Epoch 4562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4562With loss 0.1267430099331721 epoch: 4563 Epoch 4563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4563With loss 0.1267430099331721 epoch: 4564 Epoch 4564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4564With loss 0.1267430099331721 epoch: 4565 Epoch 4565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4565With loss 0.1267430099331721 epoch: 4566 Epoch 4566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4566With loss 0.1267430099331721 epoch: 4567 Epoch 4567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4567With loss 0.1267430099331721 epoch: 4568 Epoch 4568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4568With loss 0.1267430099331721 epoch: 4569 Epoch 4569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4569With loss 0.1267430099331721 epoch: 4570 Epoch 4570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4570With loss 0.1267430099331721 epoch: 4571 Epoch 4571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4571With loss 0.1267430099331721 epoch: 4572 Epoch 4572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4572With loss 0.1267430099331721 epoch: 4573 Epoch 4573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4573With loss 0.1267430099331721 epoch: 4574 Epoch 4574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4574With loss 0.1267430099331721 epoch: 4575 Epoch 4575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4575With loss 0.1267430099331721 epoch: 4576 Epoch 4576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4576With loss 0.1267430099331721 epoch: 4577 Epoch 4577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4577With loss 0.1267430099331721 epoch: 4578 Epoch 4578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4578With loss 0.1267430099331721 epoch: 4579 Epoch 4579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4579With loss 0.1267430099331721 epoch: 4580 Epoch 4580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4580With loss 0.1267430099331721 epoch: 4581 Epoch 4581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4581With loss 0.1267430099331721 epoch: 4582 Epoch 4582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4582With loss 0.1267430099331721 epoch: 4583 Epoch 4583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4583With loss 0.1267430099331721 epoch: 4584 Epoch 4584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4584With loss 0.1267430099331721 epoch: 4585 Epoch 4585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4585With loss 0.1267430099331721 epoch: 4586 Epoch 4586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4586With loss 0.1267430099331721 epoch: 4587 Epoch 4587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4587With loss 0.1267430099331721 epoch: 4588 Epoch 4588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4588With loss 0.1267430099331721 epoch: 4589 Epoch 4589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4589With loss 0.1267430099331721 epoch: 4590 Epoch 4590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4590With loss 0.1267430099331721 epoch: 4591 Epoch 4591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4591With loss 0.1267430099331721 epoch: 4592 Epoch 4592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4592With loss 0.1267430099331721 epoch: 4593 Epoch 4593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4593With loss 0.1267430099331721 epoch: 4594 Epoch 4594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4594With loss 0.1267430099331721 epoch: 4595 Epoch 4595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4595With loss 0.1267430099331721 epoch: 4596 Epoch 4596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4596With loss 0.1267430099331721 epoch: 4597 Epoch 4597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4597With loss 0.1267430099331721 epoch: 4598 Epoch 4598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4598With loss 0.1267430099331721 epoch: 4599 Epoch 4599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4599With loss 0.1267430099331721 epoch: 4600 Epoch 4600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4600With loss 0.1267430099331721 epoch: 4601 Epoch 4601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4601With loss 0.1267430099331721 epoch: 4602 Epoch 4602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4602With loss 0.1267430099331721 epoch: 4603 Epoch 4603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4603With loss 0.1267430099331721 epoch: 4604 Epoch 4604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4604With loss 0.1267430099331721 epoch: 4605 Epoch 4605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4605With loss 0.1267430099331721 epoch: 4606 Epoch 4606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4606With loss 0.1267430099331721 epoch: 4607 Epoch 4607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4607With loss 0.1267430099331721 epoch: 4608 Epoch 4608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4608With loss 0.1267430099331721 epoch: 4609 Epoch 4609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4609With loss 0.1267430099331721 epoch: 4610 Epoch 4610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4610With loss 0.1267430099331721 epoch: 4611 Epoch 4611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4611With loss 0.1267430099331721 epoch: 4612 Epoch 4612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4612With loss 0.1267430099331721 epoch: 4613 Epoch 4613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4613With loss 0.1267430099331721 epoch: 4614 Epoch 4614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4614With loss 0.1267430099331721 epoch: 4615 Epoch 4615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4615With loss 0.1267430099331721 epoch: 4616 Epoch 4616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4616With loss 0.1267430099331721 epoch: 4617 Epoch 4617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4617With loss 0.1267430099331721 epoch: 4618 Epoch 4618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4618With loss 0.1267430099331721 epoch: 4619 Epoch 4619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4619With loss 0.1267430099331721 epoch: 4620 Epoch 4620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4620With loss 0.1267430099331721 epoch: 4621 Epoch 4621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4621With loss 0.1267430099331721 epoch: 4622 Epoch 4622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4622With loss 0.1267430099331721 epoch: 4623 Epoch 4623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4623With loss 0.1267430099331721 epoch: 4624 Epoch 4624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4624With loss 0.1267430099331721 epoch: 4625 Epoch 4625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4625With loss 0.1267430099331721 epoch: 4626 Epoch 4626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4626With loss 0.1267430099331721 epoch: 4627 Epoch 4627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4627With loss 0.1267430099331721 epoch: 4628 Epoch 4628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4628With loss 0.1267430099331721 epoch: 4629 Epoch 4629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4629With loss 0.1267430099331721 epoch: 4630 Epoch 4630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4630With loss 0.1267430099331721 epoch: 4631 Epoch 4631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4631With loss 0.1267430099331721 epoch: 4632 Epoch 4632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4632With loss 0.1267430099331721 epoch: 4633 Epoch 4633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4633With loss 0.1267430099331721 epoch: 4634 Epoch 4634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4634With loss 0.1267430099331721 epoch: 4635 Epoch 4635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4635With loss 0.1267430099331721 epoch: 4636 Epoch 4636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4636With loss 0.1267430099331721 epoch: 4637 Epoch 4637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4637With loss 0.1267430099331721 epoch: 4638 Epoch 4638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4638With loss 0.1267430099331721 epoch: 4639 Epoch 4639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4639With loss 0.1267430099331721 epoch: 4640 Epoch 4640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4640With loss 0.1267430099331721 epoch: 4641 Epoch 4641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4641With loss 0.1267430099331721 epoch: 4642 Epoch 4642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4642With loss 0.1267430099331721 epoch: 4643 Epoch 4643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4643With loss 0.1267430099331721 epoch: 4644 Epoch 4644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4644With loss 0.1267430099331721 epoch: 4645 Epoch 4645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4645With loss 0.1267430099331721 epoch: 4646 Epoch 4646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4646With loss 0.1267430099331721 epoch: 4647 Epoch 4647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4647With loss 0.1267430099331721 epoch: 4648 Epoch 4648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4648With loss 0.1267430099331721 epoch: 4649 Epoch 4649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4649With loss 0.1267430099331721 epoch: 4650 Epoch 4650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4650With loss 0.1267430099331721 epoch: 4651 Epoch 4651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4651With loss 0.1267430099331721 epoch: 4652 Epoch 4652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4652With loss 0.1267430099331721 epoch: 4653 Epoch 4653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4653With loss 0.1267430099331721 epoch: 4654 Epoch 4654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4654With loss 0.1267430099331721 epoch: 4655 Epoch 4655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4655With loss 0.1267430099331721 epoch: 4656 Epoch 4656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4656With loss 0.1267430099331721 epoch: 4657 Epoch 4657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4657With loss 0.1267430099331721 epoch: 4658 Epoch 4658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4658With loss 0.1267430099331721 epoch: 4659 Epoch 4659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4659With loss 0.1267430099331721 epoch: 4660 Epoch 4660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4660With loss 0.1267430099331721 epoch: 4661 Epoch 4661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4661With loss 0.1267430099331721 epoch: 4662 Epoch 4662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4662With loss 0.1267430099331721 epoch: 4663 Epoch 4663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4663With loss 0.1267430099331721 epoch: 4664 Epoch 4664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4664With loss 0.1267430099331721 epoch: 4665 Epoch 4665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4665With loss 0.1267430099331721 epoch: 4666 Epoch 4666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4666With loss 0.1267430099331721 epoch: 4667 Epoch 4667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4667With loss 0.1267430099331721 epoch: 4668 Epoch 4668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4668With loss 0.1267430099331721 epoch: 4669 Epoch 4669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4669With loss 0.1267430099331721 epoch: 4670 Epoch 4670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4670With loss 0.1267430099331721 epoch: 4671 Epoch 4671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4671With loss 0.1267430099331721 epoch: 4672 Epoch 4672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4672With loss 0.1267430099331721 epoch: 4673 Epoch 4673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4673With loss 0.1267430099331721 epoch: 4674 Epoch 4674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4674With loss 0.1267430099331721 epoch: 4675 Epoch 4675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4675With loss 0.1267430099331721 epoch: 4676 Epoch 4676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4676With loss 0.1267430099331721 epoch: 4677 Epoch 4677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4677With loss 0.1267430099331721 epoch: 4678 Epoch 4678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4678With loss 0.1267430099331721 epoch: 4679 Epoch 4679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4679With loss 0.1267430099331721 epoch: 4680 Epoch 4680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4680With loss 0.1267430099331721 epoch: 4681 Epoch 4681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4681With loss 0.1267430099331721 epoch: 4682 Epoch 4682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4682With loss 0.1267430099331721 epoch: 4683 Epoch 4683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4683With loss 0.1267430099331721 epoch: 4684 Epoch 4684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4684With loss 0.1267430099331721 epoch: 4685 Epoch 4685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4685With loss 0.1267430099331721 epoch: 4686 Epoch 4686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4686With loss 0.1267430099331721 epoch: 4687 Epoch 4687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4687With loss 0.1267430099331721 epoch: 4688 Epoch 4688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4688With loss 0.1267430099331721 epoch: 4689 Epoch 4689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4689With loss 0.1267430099331721 epoch: 4690 Epoch 4690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4690With loss 0.1267430099331721 epoch: 4691 Epoch 4691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4691With loss 0.1267430099331721 epoch: 4692 Epoch 4692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4692With loss 0.1267430099331721 epoch: 4693 Epoch 4693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4693With loss 0.1267430099331721 epoch: 4694 Epoch 4694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4694With loss 0.1267430099331721 epoch: 4695 Epoch 4695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4695With loss 0.1267430099331721 epoch: 4696 Epoch 4696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4696With loss 0.1267430099331721 epoch: 4697 Epoch 4697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4697With loss 0.1267430099331721 epoch: 4698 Epoch 4698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4698With loss 0.1267430099331721 epoch: 4699 Epoch 4699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4699With loss 0.1267430099331721 epoch: 4700 Epoch 4700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4700With loss 0.1267430099331721 epoch: 4701 Epoch 4701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4701With loss 0.1267430099331721 epoch: 4702 Epoch 4702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4702With loss 0.1267430099331721 epoch: 4703 Epoch 4703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4703With loss 0.1267430099331721 epoch: 4704 Epoch 4704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4704With loss 0.1267430099331721 epoch: 4705 Epoch 4705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4705With loss 0.1267430099331721 epoch: 4706 Epoch 4706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4706With loss 0.1267430099331721 epoch: 4707 Epoch 4707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4707With loss 0.1267430099331721 epoch: 4708 Epoch 4708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4708With loss 0.1267430099331721 epoch: 4709 Epoch 4709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4709With loss 0.1267430099331721 epoch: 4710 Epoch 4710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4710With loss 0.1267430099331721 epoch: 4711 Epoch 4711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4711With loss 0.1267430099331721 epoch: 4712 Epoch 4712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4712With loss 0.1267430099331721 epoch: 4713 Epoch 4713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4713With loss 0.1267430099331721 epoch: 4714 Epoch 4714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4714With loss 0.1267430099331721 epoch: 4715 Epoch 4715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4715With loss 0.1267430099331721 epoch: 4716 Epoch 4716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4716With loss 0.1267430099331721 epoch: 4717 Epoch 4717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4717With loss 0.1267430099331721 epoch: 4718 Epoch 4718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4718With loss 0.1267430099331721 epoch: 4719 Epoch 4719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4719With loss 0.1267430099331721 epoch: 4720 Epoch 4720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4720With loss 0.1267430099331721 epoch: 4721 Epoch 4721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4721With loss 0.1267430099331721 epoch: 4722 Epoch 4722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4722With loss 0.1267430099331721 epoch: 4723 Epoch 4723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4723With loss 0.1267430099331721 epoch: 4724 Epoch 4724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4724With loss 0.1267430099331721 epoch: 4725 Epoch 4725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4725With loss 0.1267430099331721 epoch: 4726 Epoch 4726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4726With loss 0.1267430099331721 epoch: 4727 Epoch 4727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4727With loss 0.1267430099331721 epoch: 4728 Epoch 4728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4728With loss 0.1267430099331721 epoch: 4729 Epoch 4729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4729With loss 0.1267430099331721 epoch: 4730 Epoch 4730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4730With loss 0.1267430099331721 epoch: 4731 Epoch 4731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4731With loss 0.1267430099331721 epoch: 4732 Epoch 4732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4732With loss 0.1267430099331721 epoch: 4733 Epoch 4733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4733With loss 0.1267430099331721 epoch: 4734 Epoch 4734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4734With loss 0.1267430099331721 epoch: 4735 Epoch 4735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4735With loss 0.1267430099331721 epoch: 4736 Epoch 4736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4736With loss 0.1267430099331721 epoch: 4737 Epoch 4737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4737With loss 0.1267430099331721 epoch: 4738 Epoch 4738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4738With loss 0.1267430099331721 epoch: 4739 Epoch 4739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4739With loss 0.1267430099331721 epoch: 4740 Epoch 4740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4740With loss 0.1267430099331721 epoch: 4741 Epoch 4741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4741With loss 0.1267430099331721 epoch: 4742 Epoch 4742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4742With loss 0.1267430099331721 epoch: 4743 Epoch 4743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4743With loss 0.1267430099331721 epoch: 4744 Epoch 4744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4744With loss 0.1267430099331721 epoch: 4745 Epoch 4745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4745With loss 0.1267430099331721 epoch: 4746 Epoch 4746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4746With loss 0.1267430099331721 epoch: 4747 Epoch 4747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4747With loss 0.1267430099331721 epoch: 4748 Epoch 4748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4748With loss 0.1267430099331721 epoch: 4749 Epoch 4749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4749With loss 0.1267430099331721 epoch: 4750 Epoch 4750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4750With loss 0.1267430099331721 epoch: 4751 Epoch 4751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4751With loss 0.1267430099331721 epoch: 4752 Epoch 4752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4752With loss 0.1267430099331721 epoch: 4753 Epoch 4753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4753With loss 0.1267430099331721 epoch: 4754 Epoch 4754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4754With loss 0.1267430099331721 epoch: 4755 Epoch 4755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4755With loss 0.1267430099331721 epoch: 4756 Epoch 4756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4756With loss 0.1267430099331721 epoch: 4757 Epoch 4757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4757With loss 0.1267430099331721 epoch: 4758 Epoch 4758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4758With loss 0.1267430099331721 epoch: 4759 Epoch 4759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4759With loss 0.1267430099331721 epoch: 4760 Epoch 4760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4760With loss 0.1267430099331721 epoch: 4761 Epoch 4761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4761With loss 0.1267430099331721 epoch: 4762 Epoch 4762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4762With loss 0.1267430099331721 epoch: 4763 Epoch 4763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4763With loss 0.1267430099331721 epoch: 4764 Epoch 4764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4764With loss 0.1267430099331721 epoch: 4765 Epoch 4765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4765With loss 0.1267430099331721 epoch: 4766 Epoch 4766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4766With loss 0.1267430099331721 epoch: 4767 Epoch 4767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4767With loss 0.1267430099331721 epoch: 4768 Epoch 4768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4768With loss 0.1267430099331721 epoch: 4769 Epoch 4769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4769With loss 0.1267430099331721 epoch: 4770 Epoch 4770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4770With loss 0.1267430099331721 epoch: 4771 Epoch 4771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4771With loss 0.1267430099331721 epoch: 4772 Epoch 4772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4772With loss 0.1267430099331721 epoch: 4773 Epoch 4773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4773With loss 0.1267430099331721 epoch: 4774 Epoch 4774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4774With loss 0.1267430099331721 epoch: 4775 Epoch 4775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4775With loss 0.1267430099331721 epoch: 4776 Epoch 4776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4776With loss 0.1267430099331721 epoch: 4777 Epoch 4777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4777With loss 0.1267430099331721 epoch: 4778 Epoch 4778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4778With loss 0.1267430099331721 epoch: 4779 Epoch 4779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4779With loss 0.1267430099331721 epoch: 4780 Epoch 4780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4780With loss 0.1267430099331721 epoch: 4781 Epoch 4781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4781With loss 0.1267430099331721 epoch: 4782 Epoch 4782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4782With loss 0.1267430099331721 epoch: 4783 Epoch 4783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4783With loss 0.1267430099331721 epoch: 4784 Epoch 4784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4784With loss 0.1267430099331721 epoch: 4785 Epoch 4785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4785With loss 0.1267430099331721 epoch: 4786 Epoch 4786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4786With loss 0.1267430099331721 epoch: 4787 Epoch 4787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4787With loss 0.1267430099331721 epoch: 4788 Epoch 4788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4788With loss 0.1267430099331721 epoch: 4789 Epoch 4789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4789With loss 0.1267430099331721 epoch: 4790 Epoch 4790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4790With loss 0.1267430099331721 epoch: 4791 Epoch 4791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4791With loss 0.1267430099331721 epoch: 4792 Epoch 4792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4792With loss 0.1267430099331721 epoch: 4793 Epoch 4793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4793With loss 0.1267430099331721 epoch: 4794 Epoch 4794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4794With loss 0.1267430099331721 epoch: 4795 Epoch 4795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4795With loss 0.1267430099331721 epoch: 4796 Epoch 4796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4796With loss 0.1267430099331721 epoch: 4797 Epoch 4797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4797With loss 0.1267430099331721 epoch: 4798 Epoch 4798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4798With loss 0.1267430099331721 epoch: 4799 Epoch 4799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4799With loss 0.1267430099331721 epoch: 4800 Epoch 4800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4800With loss 0.1267430099331721 epoch: 4801 Epoch 4801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4801With loss 0.1267430099331721 epoch: 4802 Epoch 4802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4802With loss 0.1267430099331721 epoch: 4803 Epoch 4803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4803With loss 0.1267430099331721 epoch: 4804 Epoch 4804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4804With loss 0.1267430099331721 epoch: 4805 Epoch 4805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4805With loss 0.1267430099331721 epoch: 4806 Epoch 4806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4806With loss 0.1267430099331721 epoch: 4807 Epoch 4807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4807With loss 0.1267430099331721 epoch: 4808 Epoch 4808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4808With loss 0.1267430099331721 epoch: 4809 Epoch 4809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4809With loss 0.1267430099331721 epoch: 4810 Epoch 4810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4810With loss 0.1267430099331721 epoch: 4811 Epoch 4811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4811With loss 0.1267430099331721 epoch: 4812 Epoch 4812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4812With loss 0.1267430099331721 epoch: 4813 Epoch 4813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4813With loss 0.1267430099331721 epoch: 4814 Epoch 4814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4814With loss 0.1267430099331721 epoch: 4815 Epoch 4815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4815With loss 0.1267430099331721 epoch: 4816 Epoch 4816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4816With loss 0.1267430099331721 epoch: 4817 Epoch 4817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4817With loss 0.1267430099331721 epoch: 4818 Epoch 4818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4818With loss 0.1267430099331721 epoch: 4819 Epoch 4819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4819With loss 0.1267430099331721 epoch: 4820 Epoch 4820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4820With loss 0.1267430099331721 epoch: 4821 Epoch 4821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4821With loss 0.1267430099331721 epoch: 4822 Epoch 4822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4822With loss 0.1267430099331721 epoch: 4823 Epoch 4823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4823With loss 0.1267430099331721 epoch: 4824 Epoch 4824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4824With loss 0.1267430099331721 epoch: 4825 Epoch 4825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4825With loss 0.1267430099331721 epoch: 4826 Epoch 4826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4826With loss 0.1267430099331721 epoch: 4827 Epoch 4827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4827With loss 0.1267430099331721 epoch: 4828 Epoch 4828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4828With loss 0.1267430099331721 epoch: 4829 Epoch 4829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4829With loss 0.1267430099331721 epoch: 4830 Epoch 4830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4830With loss 0.1267430099331721 epoch: 4831 Epoch 4831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4831With loss 0.1267430099331721 epoch: 4832 Epoch 4832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4832With loss 0.1267430099331721 epoch: 4833 Epoch 4833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4833With loss 0.1267430099331721 epoch: 4834 Epoch 4834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4834With loss 0.1267430099331721 epoch: 4835 Epoch 4835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4835With loss 0.1267430099331721 epoch: 4836 Epoch 4836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4836With loss 0.1267430099331721 epoch: 4837 Epoch 4837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4837With loss 0.1267430099331721 epoch: 4838 Epoch 4838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4838With loss 0.1267430099331721 epoch: 4839 Epoch 4839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4839With loss 0.1267430099331721 epoch: 4840 Epoch 4840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4840With loss 0.1267430099331721 epoch: 4841 Epoch 4841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4841With loss 0.1267430099331721 epoch: 4842 Epoch 4842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4842With loss 0.1267430099331721 epoch: 4843 Epoch 4843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4843With loss 0.1267430099331721 epoch: 4844 Epoch 4844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4844With loss 0.1267430099331721 epoch: 4845 Epoch 4845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4845With loss 0.1267430099331721 epoch: 4846 Epoch 4846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4846With loss 0.1267430099331721 epoch: 4847 Epoch 4847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4847With loss 0.1267430099331721 epoch: 4848 Epoch 4848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4848With loss 0.1267430099331721 epoch: 4849 Epoch 4849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4849With loss 0.1267430099331721 epoch: 4850 Epoch 4850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4850With loss 0.1267430099331721 epoch: 4851 Epoch 4851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4851With loss 0.1267430099331721 epoch: 4852 Epoch 4852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4852With loss 0.1267430099331721 epoch: 4853 Epoch 4853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4853With loss 0.1267430099331721 epoch: 4854 Epoch 4854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4854With loss 0.1267430099331721 epoch: 4855 Epoch 4855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4855With loss 0.1267430099331721 epoch: 4856 Epoch 4856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4856With loss 0.1267430099331721 epoch: 4857 Epoch 4857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4857With loss 0.1267430099331721 epoch: 4858 Epoch 4858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4858With loss 0.1267430099331721 epoch: 4859 Epoch 4859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4859With loss 0.1267430099331721 epoch: 4860 Epoch 4860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4860With loss 0.1267430099331721 epoch: 4861 Epoch 4861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4861With loss 0.1267430099331721 epoch: 4862 Epoch 4862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4862With loss 0.1267430099331721 epoch: 4863 Epoch 4863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4863With loss 0.1267430099331721 epoch: 4864 Epoch 4864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4864With loss 0.1267430099331721 epoch: 4865 Epoch 4865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4865With loss 0.1267430099331721 epoch: 4866 Epoch 4866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4866With loss 0.1267430099331721 epoch: 4867 Epoch 4867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4867With loss 0.1267430099331721 epoch: 4868 Epoch 4868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4868With loss 0.1267430099331721 epoch: 4869 Epoch 4869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4869With loss 0.1267430099331721 epoch: 4870 Epoch 4870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4870With loss 0.1267430099331721 epoch: 4871 Epoch 4871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4871With loss 0.1267430099331721 epoch: 4872 Epoch 4872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4872With loss 0.1267430099331721 epoch: 4873 Epoch 4873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4873With loss 0.1267430099331721 epoch: 4874 Epoch 4874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4874With loss 0.1267430099331721 epoch: 4875 Epoch 4875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4875With loss 0.1267430099331721 epoch: 4876 Epoch 4876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4876With loss 0.1267430099331721 epoch: 4877 Epoch 4877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4877With loss 0.1267430099331721 epoch: 4878 Epoch 4878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4878With loss 0.1267430099331721 epoch: 4879 Epoch 4879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4879With loss 0.1267430099331721 epoch: 4880 Epoch 4880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4880With loss 0.1267430099331721 epoch: 4881 Epoch 4881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4881With loss 0.1267430099331721 epoch: 4882 Epoch 4882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4882With loss 0.1267430099331721 epoch: 4883 Epoch 4883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4883With loss 0.1267430099331721 epoch: 4884 Epoch 4884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4884With loss 0.1267430099331721 epoch: 4885 Epoch 4885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4885With loss 0.1267430099331721 epoch: 4886 Epoch 4886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4886With loss 0.1267430099331721 epoch: 4887 Epoch 4887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4887With loss 0.1267430099331721 epoch: 4888 Epoch 4888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4888With loss 0.1267430099331721 epoch: 4889 Epoch 4889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4889With loss 0.1267430099331721 epoch: 4890 Epoch 4890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4890With loss 0.1267430099331721 epoch: 4891 Epoch 4891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4891With loss 0.1267430099331721 epoch: 4892 Epoch 4892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4892With loss 0.1267430099331721 epoch: 4893 Epoch 4893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4893With loss 0.1267430099331721 epoch: 4894 Epoch 4894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4894With loss 0.1267430099331721 epoch: 4895 Epoch 4895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4895With loss 0.1267430099331721 epoch: 4896 Epoch 4896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4896With loss 0.1267430099331721 epoch: 4897 Epoch 4897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4897With loss 0.1267430099331721 epoch: 4898 Epoch 4898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4898With loss 0.1267430099331721 epoch: 4899 Epoch 4899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4899With loss 0.1267430099331721 epoch: 4900 Epoch 4900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4900With loss 0.1267430099331721 epoch: 4901 Epoch 4901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4901With loss 0.1267430099331721 epoch: 4902 Epoch 4902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4902With loss 0.1267430099331721 epoch: 4903 Epoch 4903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4903With loss 0.1267430099331721 epoch: 4904 Epoch 4904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4904With loss 0.1267430099331721 epoch: 4905 Epoch 4905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4905With loss 0.1267430099331721 epoch: 4906 Epoch 4906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4906With loss 0.1267430099331721 epoch: 4907 Epoch 4907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4907With loss 0.1267430099331721 epoch: 4908 Epoch 4908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4908With loss 0.1267430099331721 epoch: 4909 Epoch 4909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4909With loss 0.1267430099331721 epoch: 4910 Epoch 4910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4910With loss 0.1267430099331721 epoch: 4911 Epoch 4911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4911With loss 0.1267430099331721 epoch: 4912 Epoch 4912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4912With loss 0.1267430099331721 epoch: 4913 Epoch 4913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4913With loss 0.1267430099331721 epoch: 4914 Epoch 4914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4914With loss 0.1267430099331721 epoch: 4915 Epoch 4915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4915With loss 0.1267430099331721 epoch: 4916 Epoch 4916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4916With loss 0.1267430099331721 epoch: 4917 Epoch 4917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4917With loss 0.1267430099331721 epoch: 4918 Epoch 4918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4918With loss 0.1267430099331721 epoch: 4919 Epoch 4919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4919With loss 0.1267430099331721 epoch: 4920 Epoch 4920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4920With loss 0.1267430099331721 epoch: 4921 Epoch 4921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4921With loss 0.1267430099331721 epoch: 4922 Epoch 4922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4922With loss 0.1267430099331721 epoch: 4923 Epoch 4923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4923With loss 0.1267430099331721 epoch: 4924 Epoch 4924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4924With loss 0.1267430099331721 epoch: 4925 Epoch 4925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4925With loss 0.1267430099331721 epoch: 4926 Epoch 4926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4926With loss 0.1267430099331721 epoch: 4927 Epoch 4927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4927With loss 0.1267430099331721 epoch: 4928 Epoch 4928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4928With loss 0.1267430099331721 epoch: 4929 Epoch 4929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4929With loss 0.1267430099331721 epoch: 4930 Epoch 4930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4930With loss 0.1267430099331721 epoch: 4931 Epoch 4931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4931With loss 0.1267430099331721 epoch: 4932 Epoch 4932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4932With loss 0.1267430099331721 epoch: 4933 Epoch 4933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4933With loss 0.1267430099331721 epoch: 4934 Epoch 4934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4934With loss 0.1267430099331721 epoch: 4935 Epoch 4935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4935With loss 0.1267430099331721 epoch: 4936 Epoch 4936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4936With loss 0.1267430099331721 epoch: 4937 Epoch 4937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4937With loss 0.1267430099331721 epoch: 4938 Epoch 4938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4938With loss 0.1267430099331721 epoch: 4939 Epoch 4939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4939With loss 0.1267430099331721 epoch: 4940 Epoch 4940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4940With loss 0.1267430099331721 epoch: 4941 Epoch 4941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4941With loss 0.1267430099331721 epoch: 4942 Epoch 4942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4942With loss 0.1267430099331721 epoch: 4943 Epoch 4943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4943With loss 0.1267430099331721 epoch: 4944 Epoch 4944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4944With loss 0.1267430099331721 epoch: 4945 Epoch 4945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4945With loss 0.1267430099331721 epoch: 4946 Epoch 4946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4946With loss 0.1267430099331721 epoch: 4947 Epoch 4947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4947With loss 0.1267430099331721 epoch: 4948 Epoch 4948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4948With loss 0.1267430099331721 epoch: 4949 Epoch 4949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4949With loss 0.1267430099331721 epoch: 4950 Epoch 4950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4950With loss 0.1267430099331721 epoch: 4951 Epoch 4951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4951With loss 0.1267430099331721 epoch: 4952 Epoch 4952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4952With loss 0.1267430099331721 epoch: 4953 Epoch 4953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4953With loss 0.1267430099331721 epoch: 4954 Epoch 4954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4954With loss 0.1267430099331721 epoch: 4955 Epoch 4955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4955With loss 0.1267430099331721 epoch: 4956 Epoch 4956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4956With loss 0.1267430099331721 epoch: 4957 Epoch 4957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4957With loss 0.1267430099331721 epoch: 4958 Epoch 4958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4958With loss 0.1267430099331721 epoch: 4959 Epoch 4959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4959With loss 0.1267430099331721 epoch: 4960 Epoch 4960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4960With loss 0.1267430099331721 epoch: 4961 Epoch 4961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4961With loss 0.1267430099331721 epoch: 4962 Epoch 4962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4962With loss 0.1267430099331721 epoch: 4963 Epoch 4963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4963With loss 0.1267430099331721 epoch: 4964 Epoch 4964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4964With loss 0.1267430099331721 epoch: 4965 Epoch 4965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4965With loss 0.1267430099331721 epoch: 4966 Epoch 4966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4966With loss 0.1267430099331721 epoch: 4967 Epoch 4967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4967With loss 0.1267430099331721 epoch: 4968 Epoch 4968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4968With loss 0.1267430099331721 epoch: 4969 Epoch 4969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4969With loss 0.1267430099331721 epoch: 4970 Epoch 4970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4970With loss 0.1267430099331721 epoch: 4971 Epoch 4971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4971With loss 0.1267430099331721 epoch: 4972 Epoch 4972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4972With loss 0.1267430099331721 epoch: 4973 Epoch 4973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4973With loss 0.1267430099331721 epoch: 4974 Epoch 4974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4974With loss 0.1267430099331721 epoch: 4975 Epoch 4975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4975With loss 0.1267430099331721 epoch: 4976 Epoch 4976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4976With loss 0.1267430099331721 epoch: 4977 Epoch 4977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4977With loss 0.1267430099331721 epoch: 4978 Epoch 4978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4978With loss 0.1267430099331721 epoch: 4979 Epoch 4979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4979With loss 0.1267430099331721 epoch: 4980 Epoch 4980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4980With loss 0.1267430099331721 epoch: 4981 Epoch 4981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4981With loss 0.1267430099331721 epoch: 4982 Epoch 4982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4982With loss 0.1267430099331721 epoch: 4983 Epoch 4983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4983With loss 0.1267430099331721 epoch: 4984 Epoch 4984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4984With loss 0.1267430099331721 epoch: 4985 Epoch 4985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4985With loss 0.1267430099331721 epoch: 4986 Epoch 4986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4986With loss 0.1267430099331721 epoch: 4987 Epoch 4987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4987With loss 0.1267430099331721 epoch: 4988 Epoch 4988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4988With loss 0.1267430099331721 epoch: 4989 Epoch 4989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4989With loss 0.1267430099331721 epoch: 4990 Epoch 4990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4990With loss 0.1267430099331721 epoch: 4991 Epoch 4991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4991With loss 0.1267430099331721 epoch: 4992 Epoch 4992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4992With loss 0.1267430099331721 epoch: 4993 Epoch 4993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4993With loss 0.1267430099331721 epoch: 4994 Epoch 4994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4994With loss 0.1267430099331721 epoch: 4995 Epoch 4995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4995With loss 0.1267430099331721 epoch: 4996 Epoch 4996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4996With loss 0.1267430099331721 epoch: 4997 Epoch 4997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4997With loss 0.1267430099331721 epoch: 4998 Epoch 4998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4998With loss 0.1267430099331721 epoch: 4999 Epoch 4999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 4999With loss 0.1267430099331721 epoch: 5000 Epoch 5000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5000With loss 0.1267430099331721 epoch: 5001 Epoch 5001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5001With loss 0.1267430099331721 epoch: 5002 Epoch 5002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5002With loss 0.1267430099331721 epoch: 5003 Epoch 5003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5003With loss 0.1267430099331721 epoch: 5004 Epoch 5004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5004With loss 0.1267430099331721 epoch: 5005 Epoch 5005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5005With loss 0.1267430099331721 epoch: 5006 Epoch 5006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5006With loss 0.1267430099331721 epoch: 5007 Epoch 5007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5007With loss 0.1267430099331721 epoch: 5008 Epoch 5008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5008With loss 0.1267430099331721 epoch: 5009 Epoch 5009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5009With loss 0.1267430099331721 epoch: 5010 Epoch 5010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5010With loss 0.1267430099331721 epoch: 5011 Epoch 5011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5011With loss 0.1267430099331721 epoch: 5012 Epoch 5012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5012With loss 0.1267430099331721 epoch: 5013 Epoch 5013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5013With loss 0.1267430099331721 epoch: 5014 Epoch 5014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5014With loss 0.1267430099331721 epoch: 5015 Epoch 5015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5015With loss 0.1267430099331721 epoch: 5016 Epoch 5016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5016With loss 0.1267430099331721 epoch: 5017 Epoch 5017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5017With loss 0.1267430099331721 epoch: 5018 Epoch 5018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5018With loss 0.1267430099331721 epoch: 5019 Epoch 5019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5019With loss 0.1267430099331721 epoch: 5020 Epoch 5020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5020With loss 0.1267430099331721 epoch: 5021 Epoch 5021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5021With loss 0.1267430099331721 epoch: 5022 Epoch 5022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5022With loss 0.1267430099331721 epoch: 5023 Epoch 5023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5023With loss 0.1267430099331721 epoch: 5024 Epoch 5024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5024With loss 0.1267430099331721 epoch: 5025 Epoch 5025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5025With loss 0.1267430099331721 epoch: 5026 Epoch 5026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5026With loss 0.1267430099331721 epoch: 5027 Epoch 5027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5027With loss 0.1267430099331721 epoch: 5028 Epoch 5028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5028With loss 0.1267430099331721 epoch: 5029 Epoch 5029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5029With loss 0.1267430099331721 epoch: 5030 Epoch 5030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5030With loss 0.1267430099331721 epoch: 5031 Epoch 5031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5031With loss 0.1267430099331721 epoch: 5032 Epoch 5032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5032With loss 0.1267430099331721 epoch: 5033 Epoch 5033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5033With loss 0.1267430099331721 epoch: 5034 Epoch 5034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5034With loss 0.1267430099331721 epoch: 5035 Epoch 5035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5035With loss 0.1267430099331721 epoch: 5036 Epoch 5036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5036With loss 0.1267430099331721 epoch: 5037 Epoch 5037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5037With loss 0.1267430099331721 epoch: 5038 Epoch 5038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5038With loss 0.1267430099331721 epoch: 5039 Epoch 5039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5039With loss 0.1267430099331721 epoch: 5040 Epoch 5040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5040With loss 0.1267430099331721 epoch: 5041 Epoch 5041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5041With loss 0.1267430099331721 epoch: 5042 Epoch 5042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5042With loss 0.1267430099331721 epoch: 5043 Epoch 5043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5043With loss 0.1267430099331721 epoch: 5044 Epoch 5044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5044With loss 0.1267430099331721 epoch: 5045 Epoch 5045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5045With loss 0.1267430099331721 epoch: 5046 Epoch 5046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5046With loss 0.1267430099331721 epoch: 5047 Epoch 5047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5047With loss 0.1267430099331721 epoch: 5048 Epoch 5048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5048With loss 0.1267430099331721 epoch: 5049 Epoch 5049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5049With loss 0.1267430099331721 epoch: 5050 Epoch 5050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5050With loss 0.1267430099331721 epoch: 5051 Epoch 5051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5051With loss 0.1267430099331721 epoch: 5052 Epoch 5052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5052With loss 0.1267430099331721 epoch: 5053 Epoch 5053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5053With loss 0.1267430099331721 epoch: 5054 Epoch 5054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5054With loss 0.1267430099331721 epoch: 5055 Epoch 5055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5055With loss 0.1267430099331721 epoch: 5056 Epoch 5056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5056With loss 0.1267430099331721 epoch: 5057 Epoch 5057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5057With loss 0.1267430099331721 epoch: 5058 Epoch 5058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5058With loss 0.1267430099331721 epoch: 5059 Epoch 5059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5059With loss 0.1267430099331721 epoch: 5060 Epoch 5060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5060With loss 0.1267430099331721 epoch: 5061 Epoch 5061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5061With loss 0.1267430099331721 epoch: 5062 Epoch 5062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5062With loss 0.1267430099331721 epoch: 5063 Epoch 5063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5063With loss 0.1267430099331721 epoch: 5064 Epoch 5064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5064With loss 0.1267430099331721 epoch: 5065 Epoch 5065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5065With loss 0.1267430099331721 epoch: 5066 Epoch 5066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5066With loss 0.1267430099331721 epoch: 5067 Epoch 5067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5067With loss 0.1267430099331721 epoch: 5068 Epoch 5068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5068With loss 0.1267430099331721 epoch: 5069 Epoch 5069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5069With loss 0.1267430099331721 epoch: 5070 Epoch 5070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5070With loss 0.1267430099331721 epoch: 5071 Epoch 5071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5071With loss 0.1267430099331721 epoch: 5072 Epoch 5072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5072With loss 0.1267430099331721 epoch: 5073 Epoch 5073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5073With loss 0.1267430099331721 epoch: 5074 Epoch 5074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5074With loss 0.1267430099331721 epoch: 5075 Epoch 5075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5075With loss 0.1267430099331721 epoch: 5076 Epoch 5076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5076With loss 0.1267430099331721 epoch: 5077 Epoch 5077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5077With loss 0.1267430099331721 epoch: 5078 Epoch 5078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5078With loss 0.1267430099331721 epoch: 5079 Epoch 5079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5079With loss 0.1267430099331721 epoch: 5080 Epoch 5080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5080With loss 0.1267430099331721 epoch: 5081 Epoch 5081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5081With loss 0.1267430099331721 epoch: 5082 Epoch 5082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5082With loss 0.1267430099331721 epoch: 5083 Epoch 5083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5083With loss 0.1267430099331721 epoch: 5084 Epoch 5084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5084With loss 0.1267430099331721 epoch: 5085 Epoch 5085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5085With loss 0.1267430099331721 epoch: 5086 Epoch 5086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5086With loss 0.1267430099331721 epoch: 5087 Epoch 5087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5087With loss 0.1267430099331721 epoch: 5088 Epoch 5088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5088With loss 0.1267430099331721 epoch: 5089 Epoch 5089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5089With loss 0.1267430099331721 epoch: 5090 Epoch 5090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5090With loss 0.1267430099331721 epoch: 5091 Epoch 5091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5091With loss 0.1267430099331721 epoch: 5092 Epoch 5092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5092With loss 0.1267430099331721 epoch: 5093 Epoch 5093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5093With loss 0.1267430099331721 epoch: 5094 Epoch 5094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5094With loss 0.1267430099331721 epoch: 5095 Epoch 5095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5095With loss 0.1267430099331721 epoch: 5096 Epoch 5096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5096With loss 0.1267430099331721 epoch: 5097 Epoch 5097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5097With loss 0.1267430099331721 epoch: 5098 Epoch 5098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5098With loss 0.1267430099331721 epoch: 5099 Epoch 5099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5099With loss 0.1267430099331721 epoch: 5100 Epoch 5100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5100With loss 0.1267430099331721 epoch: 5101 Epoch 5101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5101With loss 0.1267430099331721 epoch: 5102 Epoch 5102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5102With loss 0.1267430099331721 epoch: 5103 Epoch 5103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5103With loss 0.1267430099331721 epoch: 5104 Epoch 5104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5104With loss 0.1267430099331721 epoch: 5105 Epoch 5105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5105With loss 0.1267430099331721 epoch: 5106 Epoch 5106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5106With loss 0.1267430099331721 epoch: 5107 Epoch 5107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5107With loss 0.1267430099331721 epoch: 5108 Epoch 5108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5108With loss 0.1267430099331721 epoch: 5109 Epoch 5109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5109With loss 0.1267430099331721 epoch: 5110 Epoch 5110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5110With loss 0.1267430099331721 epoch: 5111 Epoch 5111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5111With loss 0.1267430099331721 epoch: 5112 Epoch 5112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5112With loss 0.1267430099331721 epoch: 5113 Epoch 5113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5113With loss 0.1267430099331721 epoch: 5114 Epoch 5114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5114With loss 0.1267430099331721 epoch: 5115 Epoch 5115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5115With loss 0.1267430099331721 epoch: 5116 Epoch 5116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5116With loss 0.1267430099331721 epoch: 5117 Epoch 5117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5117With loss 0.1267430099331721 epoch: 5118 Epoch 5118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5118With loss 0.1267430099331721 epoch: 5119 Epoch 5119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5119With loss 0.1267430099331721 epoch: 5120 Epoch 5120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5120With loss 0.1267430099331721 epoch: 5121 Epoch 5121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5121With loss 0.1267430099331721 epoch: 5122 Epoch 5122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5122With loss 0.1267430099331721 epoch: 5123 Epoch 5123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5123With loss 0.1267430099331721 epoch: 5124 Epoch 5124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5124With loss 0.1267430099331721 epoch: 5125 Epoch 5125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5125With loss 0.1267430099331721 epoch: 5126 Epoch 5126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5126With loss 0.1267430099331721 epoch: 5127 Epoch 5127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5127With loss 0.1267430099331721 epoch: 5128 Epoch 5128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5128With loss 0.1267430099331721 epoch: 5129 Epoch 5129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5129With loss 0.1267430099331721 epoch: 5130 Epoch 5130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5130With loss 0.1267430099331721 epoch: 5131 Epoch 5131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5131With loss 0.1267430099331721 epoch: 5132 Epoch 5132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5132With loss 0.1267430099331721 epoch: 5133 Epoch 5133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5133With loss 0.1267430099331721 epoch: 5134 Epoch 5134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5134With loss 0.1267430099331721 epoch: 5135 Epoch 5135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5135With loss 0.1267430099331721 epoch: 5136 Epoch 5136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5136With loss 0.1267430099331721 epoch: 5137 Epoch 5137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5137With loss 0.1267430099331721 epoch: 5138 Epoch 5138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5138With loss 0.1267430099331721 epoch: 5139 Epoch 5139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5139With loss 0.1267430099331721 epoch: 5140 Epoch 5140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5140With loss 0.1267430099331721 epoch: 5141 Epoch 5141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5141With loss 0.1267430099331721 epoch: 5142 Epoch 5142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5142With loss 0.1267430099331721 epoch: 5143 Epoch 5143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5143With loss 0.1267430099331721 epoch: 5144 Epoch 5144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5144With loss 0.1267430099331721 epoch: 5145 Epoch 5145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5145With loss 0.1267430099331721 epoch: 5146 Epoch 5146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5146With loss 0.1267430099331721 epoch: 5147 Epoch 5147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5147With loss 0.1267430099331721 epoch: 5148 Epoch 5148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5148With loss 0.1267430099331721 epoch: 5149 Epoch 5149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5149With loss 0.1267430099331721 epoch: 5150 Epoch 5150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5150With loss 0.1267430099331721 epoch: 5151 Epoch 5151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5151With loss 0.1267430099331721 epoch: 5152 Epoch 5152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5152With loss 0.1267430099331721 epoch: 5153 Epoch 5153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5153With loss 0.1267430099331721 epoch: 5154 Epoch 5154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5154With loss 0.1267430099331721 epoch: 5155 Epoch 5155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5155With loss 0.1267430099331721 epoch: 5156 Epoch 5156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5156With loss 0.1267430099331721 epoch: 5157 Epoch 5157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5157With loss 0.1267430099331721 epoch: 5158 Epoch 5158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5158With loss 0.1267430099331721 epoch: 5159 Epoch 5159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5159With loss 0.1267430099331721 epoch: 5160 Epoch 5160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5160With loss 0.1267430099331721 epoch: 5161 Epoch 5161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5161With loss 0.1267430099331721 epoch: 5162 Epoch 5162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5162With loss 0.1267430099331721 epoch: 5163 Epoch 5163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5163With loss 0.1267430099331721 epoch: 5164 Epoch 5164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5164With loss 0.1267430099331721 epoch: 5165 Epoch 5165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5165With loss 0.1267430099331721 epoch: 5166 Epoch 5166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5166With loss 0.1267430099331721 epoch: 5167 Epoch 5167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5167With loss 0.1267430099331721 epoch: 5168 Epoch 5168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5168With loss 0.1267430099331721 epoch: 5169 Epoch 5169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5169With loss 0.1267430099331721 epoch: 5170 Epoch 5170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5170With loss 0.1267430099331721 epoch: 5171 Epoch 5171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5171With loss 0.1267430099331721 epoch: 5172 Epoch 5172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5172With loss 0.1267430099331721 epoch: 5173 Epoch 5173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5173With loss 0.1267430099331721 epoch: 5174 Epoch 5174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5174With loss 0.1267430099331721 epoch: 5175 Epoch 5175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5175With loss 0.1267430099331721 epoch: 5176 Epoch 5176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5176With loss 0.1267430099331721 epoch: 5177 Epoch 5177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5177With loss 0.1267430099331721 epoch: 5178 Epoch 5178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5178With loss 0.1267430099331721 epoch: 5179 Epoch 5179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5179With loss 0.1267430099331721 epoch: 5180 Epoch 5180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5180With loss 0.1267430099331721 epoch: 5181 Epoch 5181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5181With loss 0.1267430099331721 epoch: 5182 Epoch 5182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5182With loss 0.1267430099331721 epoch: 5183 Epoch 5183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5183With loss 0.1267430099331721 epoch: 5184 Epoch 5184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5184With loss 0.1267430099331721 epoch: 5185 Epoch 5185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5185With loss 0.1267430099331721 epoch: 5186 Epoch 5186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5186With loss 0.1267430099331721 epoch: 5187 Epoch 5187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5187With loss 0.1267430099331721 epoch: 5188 Epoch 5188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5188With loss 0.1267430099331721 epoch: 5189 Epoch 5189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5189With loss 0.1267430099331721 epoch: 5190 Epoch 5190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5190With loss 0.1267430099331721 epoch: 5191 Epoch 5191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5191With loss 0.1267430099331721 epoch: 5192 Epoch 5192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5192With loss 0.1267430099331721 epoch: 5193 Epoch 5193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5193With loss 0.1267430099331721 epoch: 5194 Epoch 5194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5194With loss 0.1267430099331721 epoch: 5195 Epoch 5195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5195With loss 0.1267430099331721 epoch: 5196 Epoch 5196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5196With loss 0.1267430099331721 epoch: 5197 Epoch 5197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5197With loss 0.1267430099331721 epoch: 5198 Epoch 5198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5198With loss 0.1267430099331721 epoch: 5199 Epoch 5199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5199With loss 0.1267430099331721 epoch: 5200 Epoch 5200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5200With loss 0.1267430099331721 epoch: 5201 Epoch 5201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5201With loss 0.1267430099331721 epoch: 5202 Epoch 5202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5202With loss 0.1267430099331721 epoch: 5203 Epoch 5203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5203With loss 0.1267430099331721 epoch: 5204 Epoch 5204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5204With loss 0.1267430099331721 epoch: 5205 Epoch 5205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5205With loss 0.1267430099331721 epoch: 5206 Epoch 5206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5206With loss 0.1267430099331721 epoch: 5207 Epoch 5207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5207With loss 0.1267430099331721 epoch: 5208 Epoch 5208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5208With loss 0.1267430099331721 epoch: 5209 Epoch 5209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5209With loss 0.1267430099331721 epoch: 5210 Epoch 5210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5210With loss 0.1267430099331721 epoch: 5211 Epoch 5211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5211With loss 0.1267430099331721 epoch: 5212 Epoch 5212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5212With loss 0.1267430099331721 epoch: 5213 Epoch 5213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5213With loss 0.1267430099331721 epoch: 5214 Epoch 5214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5214With loss 0.1267430099331721 epoch: 5215 Epoch 5215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5215With loss 0.1267430099331721 epoch: 5216 Epoch 5216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5216With loss 0.1267430099331721 epoch: 5217 Epoch 5217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5217With loss 0.1267430099331721 epoch: 5218 Epoch 5218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5218With loss 0.1267430099331721 epoch: 5219 Epoch 5219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5219With loss 0.1267430099331721 epoch: 5220 Epoch 5220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5220With loss 0.1267430099331721 epoch: 5221 Epoch 5221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5221With loss 0.1267430099331721 epoch: 5222 Epoch 5222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5222With loss 0.1267430099331721 epoch: 5223 Epoch 5223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5223With loss 0.1267430099331721 epoch: 5224 Epoch 5224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5224With loss 0.1267430099331721 epoch: 5225 Epoch 5225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5225With loss 0.1267430099331721 epoch: 5226 Epoch 5226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5226With loss 0.1267430099331721 epoch: 5227 Epoch 5227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5227With loss 0.1267430099331721 epoch: 5228 Epoch 5228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5228With loss 0.1267430099331721 epoch: 5229 Epoch 5229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5229With loss 0.1267430099331721 epoch: 5230 Epoch 5230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5230With loss 0.1267430099331721 epoch: 5231 Epoch 5231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5231With loss 0.1267430099331721 epoch: 5232 Epoch 5232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5232With loss 0.1267430099331721 epoch: 5233 Epoch 5233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5233With loss 0.1267430099331721 epoch: 5234 Epoch 5234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5234With loss 0.1267430099331721 epoch: 5235 Epoch 5235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5235With loss 0.1267430099331721 epoch: 5236 Epoch 5236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5236With loss 0.1267430099331721 epoch: 5237 Epoch 5237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5237With loss 0.1267430099331721 epoch: 5238 Epoch 5238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5238With loss 0.1267430099331721 epoch: 5239 Epoch 5239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5239With loss 0.1267430099331721 epoch: 5240 Epoch 5240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5240With loss 0.1267430099331721 epoch: 5241 Epoch 5241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5241With loss 0.1267430099331721 epoch: 5242 Epoch 5242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5242With loss 0.1267430099331721 epoch: 5243 Epoch 5243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5243With loss 0.1267430099331721 epoch: 5244 Epoch 5244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5244With loss 0.1267430099331721 epoch: 5245 Epoch 5245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5245With loss 0.1267430099331721 epoch: 5246 Epoch 5246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5246With loss 0.1267430099331721 epoch: 5247 Epoch 5247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5247With loss 0.1267430099331721 epoch: 5248 Epoch 5248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5248With loss 0.1267430099331721 epoch: 5249 Epoch 5249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5249With loss 0.1267430099331721 epoch: 5250 Epoch 5250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5250With loss 0.1267430099331721 epoch: 5251 Epoch 5251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5251With loss 0.1267430099331721 epoch: 5252 Epoch 5252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5252With loss 0.1267430099331721 epoch: 5253 Epoch 5253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5253With loss 0.1267430099331721 epoch: 5254 Epoch 5254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5254With loss 0.1267430099331721 epoch: 5255 Epoch 5255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5255With loss 0.1267430099331721 epoch: 5256 Epoch 5256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5256With loss 0.1267430099331721 epoch: 5257 Epoch 5257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5257With loss 0.1267430099331721 epoch: 5258 Epoch 5258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5258With loss 0.1267430099331721 epoch: 5259 Epoch 5259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5259With loss 0.1267430099331721 epoch: 5260 Epoch 5260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5260With loss 0.1267430099331721 epoch: 5261 Epoch 5261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5261With loss 0.1267430099331721 epoch: 5262 Epoch 5262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5262With loss 0.1267430099331721 epoch: 5263 Epoch 5263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5263With loss 0.1267430099331721 epoch: 5264 Epoch 5264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5264With loss 0.1267430099331721 epoch: 5265 Epoch 5265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5265With loss 0.1267430099331721 epoch: 5266 Epoch 5266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5266With loss 0.1267430099331721 epoch: 5267 Epoch 5267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5267With loss 0.1267430099331721 epoch: 5268 Epoch 5268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5268With loss 0.1267430099331721 epoch: 5269 Epoch 5269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5269With loss 0.1267430099331721 epoch: 5270 Epoch 5270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5270With loss 0.1267430099331721 epoch: 5271 Epoch 5271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5271With loss 0.1267430099331721 epoch: 5272 Epoch 5272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5272With loss 0.1267430099331721 epoch: 5273 Epoch 5273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5273With loss 0.1267430099331721 epoch: 5274 Epoch 5274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5274With loss 0.1267430099331721 epoch: 5275 Epoch 5275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5275With loss 0.1267430099331721 epoch: 5276 Epoch 5276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5276With loss 0.1267430099331721 epoch: 5277 Epoch 5277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5277With loss 0.1267430099331721 epoch: 5278 Epoch 5278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5278With loss 0.1267430099331721 epoch: 5279 Epoch 5279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5279With loss 0.1267430099331721 epoch: 5280 Epoch 5280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5280With loss 0.1267430099331721 epoch: 5281 Epoch 5281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5281With loss 0.1267430099331721 epoch: 5282 Epoch 5282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5282With loss 0.1267430099331721 epoch: 5283 Epoch 5283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5283With loss 0.1267430099331721 epoch: 5284 Epoch 5284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5284With loss 0.1267430099331721 epoch: 5285 Epoch 5285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5285With loss 0.1267430099331721 epoch: 5286 Epoch 5286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5286With loss 0.1267430099331721 epoch: 5287 Epoch 5287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5287With loss 0.1267430099331721 epoch: 5288 Epoch 5288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5288With loss 0.1267430099331721 epoch: 5289 Epoch 5289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5289With loss 0.1267430099331721 epoch: 5290 Epoch 5290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5290With loss 0.1267430099331721 epoch: 5291 Epoch 5291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5291With loss 0.1267430099331721 epoch: 5292 Epoch 5292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5292With loss 0.1267430099331721 epoch: 5293 Epoch 5293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5293With loss 0.1267430099331721 epoch: 5294 Epoch 5294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5294With loss 0.1267430099331721 epoch: 5295 Epoch 5295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5295With loss 0.1267430099331721 epoch: 5296 Epoch 5296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5296With loss 0.1267430099331721 epoch: 5297 Epoch 5297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5297With loss 0.1267430099331721 epoch: 5298 Epoch 5298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5298With loss 0.1267430099331721 epoch: 5299 Epoch 5299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5299With loss 0.1267430099331721 epoch: 5300 Epoch 5300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5300With loss 0.1267430099331721 epoch: 5301 Epoch 5301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5301With loss 0.1267430099331721 epoch: 5302 Epoch 5302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5302With loss 0.1267430099331721 epoch: 5303 Epoch 5303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5303With loss 0.1267430099331721 epoch: 5304 Epoch 5304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5304With loss 0.1267430099331721 epoch: 5305 Epoch 5305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5305With loss 0.1267430099331721 epoch: 5306 Epoch 5306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5306With loss 0.1267430099331721 epoch: 5307 Epoch 5307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5307With loss 0.1267430099331721 epoch: 5308 Epoch 5308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5308With loss 0.1267430099331721 epoch: 5309 Epoch 5309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5309With loss 0.1267430099331721 epoch: 5310 Epoch 5310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5310With loss 0.1267430099331721 epoch: 5311 Epoch 5311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5311With loss 0.1267430099331721 epoch: 5312 Epoch 5312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5312With loss 0.1267430099331721 epoch: 5313 Epoch 5313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5313With loss 0.1267430099331721 epoch: 5314 Epoch 5314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5314With loss 0.1267430099331721 epoch: 5315 Epoch 5315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5315With loss 0.1267430099331721 epoch: 5316 Epoch 5316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5316With loss 0.1267430099331721 epoch: 5317 Epoch 5317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5317With loss 0.1267430099331721 epoch: 5318 Epoch 5318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5318With loss 0.1267430099331721 epoch: 5319 Epoch 5319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5319With loss 0.1267430099331721 epoch: 5320 Epoch 5320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5320With loss 0.1267430099331721 epoch: 5321 Epoch 5321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5321With loss 0.1267430099331721 epoch: 5322 Epoch 5322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5322With loss 0.1267430099331721 epoch: 5323 Epoch 5323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5323With loss 0.1267430099331721 epoch: 5324 Epoch 5324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5324With loss 0.1267430099331721 epoch: 5325 Epoch 5325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5325With loss 0.1267430099331721 epoch: 5326 Epoch 5326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5326With loss 0.1267430099331721 epoch: 5327 Epoch 5327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5327With loss 0.1267430099331721 epoch: 5328 Epoch 5328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5328With loss 0.1267430099331721 epoch: 5329 Epoch 5329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5329With loss 0.1267430099331721 epoch: 5330 Epoch 5330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5330With loss 0.1267430099331721 epoch: 5331 Epoch 5331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5331With loss 0.1267430099331721 epoch: 5332 Epoch 5332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5332With loss 0.1267430099331721 epoch: 5333 Epoch 5333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5333With loss 0.1267430099331721 epoch: 5334 Epoch 5334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5334With loss 0.1267430099331721 epoch: 5335 Epoch 5335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5335With loss 0.1267430099331721 epoch: 5336 Epoch 5336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5336With loss 0.1267430099331721 epoch: 5337 Epoch 5337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5337With loss 0.1267430099331721 epoch: 5338 Epoch 5338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5338With loss 0.1267430099331721 epoch: 5339 Epoch 5339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5339With loss 0.1267430099331721 epoch: 5340 Epoch 5340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5340With loss 0.1267430099331721 epoch: 5341 Epoch 5341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5341With loss 0.1267430099331721 epoch: 5342 Epoch 5342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5342With loss 0.1267430099331721 epoch: 5343 Epoch 5343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5343With loss 0.1267430099331721 epoch: 5344 Epoch 5344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5344With loss 0.1267430099331721 epoch: 5345 Epoch 5345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5345With loss 0.1267430099331721 epoch: 5346 Epoch 5346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5346With loss 0.1267430099331721 epoch: 5347 Epoch 5347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5347With loss 0.1267430099331721 epoch: 5348 Epoch 5348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5348With loss 0.1267430099331721 epoch: 5349 Epoch 5349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5349With loss 0.1267430099331721 epoch: 5350 Epoch 5350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5350With loss 0.1267430099331721 epoch: 5351 Epoch 5351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5351With loss 0.1267430099331721 epoch: 5352 Epoch 5352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5352With loss 0.1267430099331721 epoch: 5353 Epoch 5353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5353With loss 0.1267430099331721 epoch: 5354 Epoch 5354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5354With loss 0.1267430099331721 epoch: 5355 Epoch 5355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5355With loss 0.1267430099331721 epoch: 5356 Epoch 5356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5356With loss 0.1267430099331721 epoch: 5357 Epoch 5357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5357With loss 0.1267430099331721 epoch: 5358 Epoch 5358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5358With loss 0.1267430099331721 epoch: 5359 Epoch 5359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5359With loss 0.1267430099331721 epoch: 5360 Epoch 5360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5360With loss 0.1267430099331721 epoch: 5361 Epoch 5361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5361With loss 0.1267430099331721 epoch: 5362 Epoch 5362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5362With loss 0.1267430099331721 epoch: 5363 Epoch 5363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5363With loss 0.1267430099331721 epoch: 5364 Epoch 5364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5364With loss 0.1267430099331721 epoch: 5365 Epoch 5365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5365With loss 0.1267430099331721 epoch: 5366 Epoch 5366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5366With loss 0.1267430099331721 epoch: 5367 Epoch 5367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5367With loss 0.1267430099331721 epoch: 5368 Epoch 5368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5368With loss 0.1267430099331721 epoch: 5369 Epoch 5369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5369With loss 0.1267430099331721 epoch: 5370 Epoch 5370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5370With loss 0.1267430099331721 epoch: 5371 Epoch 5371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5371With loss 0.1267430099331721 epoch: 5372 Epoch 5372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5372With loss 0.1267430099331721 epoch: 5373 Epoch 5373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5373With loss 0.1267430099331721 epoch: 5374 Epoch 5374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5374With loss 0.1267430099331721 epoch: 5375 Epoch 5375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5375With loss 0.1267430099331721 epoch: 5376 Epoch 5376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5376With loss 0.1267430099331721 epoch: 5377 Epoch 5377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5377With loss 0.1267430099331721 epoch: 5378 Epoch 5378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5378With loss 0.1267430099331721 epoch: 5379 Epoch 5379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5379With loss 0.1267430099331721 epoch: 5380 Epoch 5380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5380With loss 0.1267430099331721 epoch: 5381 Epoch 5381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5381With loss 0.1267430099331721 epoch: 5382 Epoch 5382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5382With loss 0.1267430099331721 epoch: 5383 Epoch 5383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5383With loss 0.1267430099331721 epoch: 5384 Epoch 5384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5384With loss 0.1267430099331721 epoch: 5385 Epoch 5385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5385With loss 0.1267430099331721 epoch: 5386 Epoch 5386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5386With loss 0.1267430099331721 epoch: 5387 Epoch 5387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5387With loss 0.1267430099331721 epoch: 5388 Epoch 5388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5388With loss 0.1267430099331721 epoch: 5389 Epoch 5389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5389With loss 0.1267430099331721 epoch: 5390 Epoch 5390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5390With loss 0.1267430099331721 epoch: 5391 Epoch 5391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5391With loss 0.1267430099331721 epoch: 5392 Epoch 5392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5392With loss 0.1267430099331721 epoch: 5393 Epoch 5393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5393With loss 0.1267430099331721 epoch: 5394 Epoch 5394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5394With loss 0.1267430099331721 epoch: 5395 Epoch 5395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5395With loss 0.1267430099331721 epoch: 5396 Epoch 5396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5396With loss 0.1267430099331721 epoch: 5397 Epoch 5397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5397With loss 0.1267430099331721 epoch: 5398 Epoch 5398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5398With loss 0.1267430099331721 epoch: 5399 Epoch 5399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5399With loss 0.1267430099331721 epoch: 5400 Epoch 5400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5400With loss 0.1267430099331721 epoch: 5401 Epoch 5401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5401With loss 0.1267430099331721 epoch: 5402 Epoch 5402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5402With loss 0.1267430099331721 epoch: 5403 Epoch 5403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5403With loss 0.1267430099331721 epoch: 5404 Epoch 5404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5404With loss 0.1267430099331721 epoch: 5405 Epoch 5405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5405With loss 0.1267430099331721 epoch: 5406 Epoch 5406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5406With loss 0.1267430099331721 epoch: 5407 Epoch 5407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5407With loss 0.1267430099331721 epoch: 5408 Epoch 5408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5408With loss 0.1267430099331721 epoch: 5409 Epoch 5409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5409With loss 0.1267430099331721 epoch: 5410 Epoch 5410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5410With loss 0.1267430099331721 epoch: 5411 Epoch 5411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5411With loss 0.1267430099331721 epoch: 5412 Epoch 5412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5412With loss 0.1267430099331721 epoch: 5413 Epoch 5413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5413With loss 0.1267430099331721 epoch: 5414 Epoch 5414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5414With loss 0.1267430099331721 epoch: 5415 Epoch 5415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5415With loss 0.1267430099331721 epoch: 5416 Epoch 5416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5416With loss 0.1267430099331721 epoch: 5417 Epoch 5417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5417With loss 0.1267430099331721 epoch: 5418 Epoch 5418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5418With loss 0.1267430099331721 epoch: 5419 Epoch 5419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5419With loss 0.1267430099331721 epoch: 5420 Epoch 5420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5420With loss 0.1267430099331721 epoch: 5421 Epoch 5421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5421With loss 0.1267430099331721 epoch: 5422 Epoch 5422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5422With loss 0.1267430099331721 epoch: 5423 Epoch 5423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5423With loss 0.1267430099331721 epoch: 5424 Epoch 5424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5424With loss 0.1267430099331721 epoch: 5425 Epoch 5425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5425With loss 0.1267430099331721 epoch: 5426 Epoch 5426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5426With loss 0.1267430099331721 epoch: 5427 Epoch 5427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5427With loss 0.1267430099331721 epoch: 5428 Epoch 5428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5428With loss 0.1267430099331721 epoch: 5429 Epoch 5429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5429With loss 0.1267430099331721 epoch: 5430 Epoch 5430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5430With loss 0.1267430099331721 epoch: 5431 Epoch 5431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5431With loss 0.1267430099331721 epoch: 5432 Epoch 5432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5432With loss 0.1267430099331721 epoch: 5433 Epoch 5433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5433With loss 0.1267430099331721 epoch: 5434 Epoch 5434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5434With loss 0.1267430099331721 epoch: 5435 Epoch 5435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5435With loss 0.1267430099331721 epoch: 5436 Epoch 5436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5436With loss 0.1267430099331721 epoch: 5437 Epoch 5437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5437With loss 0.1267430099331721 epoch: 5438 Epoch 5438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5438With loss 0.1267430099331721 epoch: 5439 Epoch 5439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5439With loss 0.1267430099331721 epoch: 5440 Epoch 5440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5440With loss 0.1267430099331721 epoch: 5441 Epoch 5441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5441With loss 0.1267430099331721 epoch: 5442 Epoch 5442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5442With loss 0.1267430099331721 epoch: 5443 Epoch 5443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5443With loss 0.1267430099331721 epoch: 5444 Epoch 5444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5444With loss 0.1267430099331721 epoch: 5445 Epoch 5445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5445With loss 0.1267430099331721 epoch: 5446 Epoch 5446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5446With loss 0.1267430099331721 epoch: 5447 Epoch 5447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5447With loss 0.1267430099331721 epoch: 5448 Epoch 5448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5448With loss 0.1267430099331721 epoch: 5449 Epoch 5449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5449With loss 0.1267430099331721 epoch: 5450 Epoch 5450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5450With loss 0.1267430099331721 epoch: 5451 Epoch 5451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5451With loss 0.1267430099331721 epoch: 5452 Epoch 5452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5452With loss 0.1267430099331721 epoch: 5453 Epoch 5453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5453With loss 0.1267430099331721 epoch: 5454 Epoch 5454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5454With loss 0.1267430099331721 epoch: 5455 Epoch 5455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5455With loss 0.1267430099331721 epoch: 5456 Epoch 5456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5456With loss 0.1267430099331721 epoch: 5457 Epoch 5457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5457With loss 0.1267430099331721 epoch: 5458 Epoch 5458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5458With loss 0.1267430099331721 epoch: 5459 Epoch 5459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5459With loss 0.1267430099331721 epoch: 5460 Epoch 5460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5460With loss 0.1267430099331721 epoch: 5461 Epoch 5461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5461With loss 0.1267430099331721 epoch: 5462 Epoch 5462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5462With loss 0.1267430099331721 epoch: 5463 Epoch 5463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5463With loss 0.1267430099331721 epoch: 5464 Epoch 5464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5464With loss 0.1267430099331721 epoch: 5465 Epoch 5465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5465With loss 0.1267430099331721 epoch: 5466 Epoch 5466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5466With loss 0.1267430099331721 epoch: 5467 Epoch 5467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5467With loss 0.1267430099331721 epoch: 5468 Epoch 5468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5468With loss 0.1267430099331721 epoch: 5469 Epoch 5469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5469With loss 0.1267430099331721 epoch: 5470 Epoch 5470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5470With loss 0.1267430099331721 epoch: 5471 Epoch 5471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5471With loss 0.1267430099331721 epoch: 5472 Epoch 5472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5472With loss 0.1267430099331721 epoch: 5473 Epoch 5473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5473With loss 0.1267430099331721 epoch: 5474 Epoch 5474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5474With loss 0.1267430099331721 epoch: 5475 Epoch 5475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5475With loss 0.1267430099331721 epoch: 5476 Epoch 5476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5476With loss 0.1267430099331721 epoch: 5477 Epoch 5477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5477With loss 0.1267430099331721 epoch: 5478 Epoch 5478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5478With loss 0.1267430099331721 epoch: 5479 Epoch 5479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5479With loss 0.1267430099331721 epoch: 5480 Epoch 5480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5480With loss 0.1267430099331721 epoch: 5481 Epoch 5481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5481With loss 0.1267430099331721 epoch: 5482 Epoch 5482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5482With loss 0.1267430099331721 epoch: 5483 Epoch 5483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5483With loss 0.1267430099331721 epoch: 5484 Epoch 5484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5484With loss 0.1267430099331721 epoch: 5485 Epoch 5485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5485With loss 0.1267430099331721 epoch: 5486 Epoch 5486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5486With loss 0.1267430099331721 epoch: 5487 Epoch 5487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5487With loss 0.1267430099331721 epoch: 5488 Epoch 5488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5488With loss 0.1267430099331721 epoch: 5489 Epoch 5489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5489With loss 0.1267430099331721 epoch: 5490 Epoch 5490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5490With loss 0.1267430099331721 epoch: 5491 Epoch 5491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5491With loss 0.1267430099331721 epoch: 5492 Epoch 5492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5492With loss 0.1267430099331721 epoch: 5493 Epoch 5493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5493With loss 0.1267430099331721 epoch: 5494 Epoch 5494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5494With loss 0.1267430099331721 epoch: 5495 Epoch 5495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5495With loss 0.1267430099331721 epoch: 5496 Epoch 5496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5496With loss 0.1267430099331721 epoch: 5497 Epoch 5497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5497With loss 0.1267430099331721 epoch: 5498 Epoch 5498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5498With loss 0.1267430099331721 epoch: 5499 Epoch 5499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5499With loss 0.1267430099331721 epoch: 5500 Epoch 5500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5500With loss 0.1267430099331721 epoch: 5501 Epoch 5501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5501With loss 0.1267430099331721 epoch: 5502 Epoch 5502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5502With loss 0.1267430099331721 epoch: 5503 Epoch 5503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5503With loss 0.1267430099331721 epoch: 5504 Epoch 5504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5504With loss 0.1267430099331721 epoch: 5505 Epoch 5505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5505With loss 0.1267430099331721 epoch: 5506 Epoch 5506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5506With loss 0.1267430099331721 epoch: 5507 Epoch 5507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5507With loss 0.1267430099331721 epoch: 5508 Epoch 5508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5508With loss 0.1267430099331721 epoch: 5509 Epoch 5509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5509With loss 0.1267430099331721 epoch: 5510 Epoch 5510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5510With loss 0.1267430099331721 epoch: 5511 Epoch 5511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5511With loss 0.1267430099331721 epoch: 5512 Epoch 5512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5512With loss 0.1267430099331721 epoch: 5513 Epoch 5513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5513With loss 0.1267430099331721 epoch: 5514 Epoch 5514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5514With loss 0.1267430099331721 epoch: 5515 Epoch 5515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5515With loss 0.1267430099331721 epoch: 5516 Epoch 5516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5516With loss 0.1267430099331721 epoch: 5517 Epoch 5517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5517With loss 0.1267430099331721 epoch: 5518 Epoch 5518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5518With loss 0.1267430099331721 epoch: 5519 Epoch 5519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5519With loss 0.1267430099331721 epoch: 5520 Epoch 5520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5520With loss 0.1267430099331721 epoch: 5521 Epoch 5521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5521With loss 0.1267430099331721 epoch: 5522 Epoch 5522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5522With loss 0.1267430099331721 epoch: 5523 Epoch 5523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5523With loss 0.1267430099331721 epoch: 5524 Epoch 5524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5524With loss 0.1267430099331721 epoch: 5525 Epoch 5525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5525With loss 0.1267430099331721 epoch: 5526 Epoch 5526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5526With loss 0.1267430099331721 epoch: 5527 Epoch 5527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5527With loss 0.1267430099331721 epoch: 5528 Epoch 5528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5528With loss 0.1267430099331721 epoch: 5529 Epoch 5529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5529With loss 0.1267430099331721 epoch: 5530 Epoch 5530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5530With loss 0.1267430099331721 epoch: 5531 Epoch 5531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5531With loss 0.1267430099331721 epoch: 5532 Epoch 5532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5532With loss 0.1267430099331721 epoch: 5533 Epoch 5533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5533With loss 0.1267430099331721 epoch: 5534 Epoch 5534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5534With loss 0.1267430099331721 epoch: 5535 Epoch 5535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5535With loss 0.1267430099331721 epoch: 5536 Epoch 5536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5536With loss 0.1267430099331721 epoch: 5537 Epoch 5537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5537With loss 0.1267430099331721 epoch: 5538 Epoch 5538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5538With loss 0.1267430099331721 epoch: 5539 Epoch 5539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5539With loss 0.1267430099331721 epoch: 5540 Epoch 5540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5540With loss 0.1267430099331721 epoch: 5541 Epoch 5541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5541With loss 0.1267430099331721 epoch: 5542 Epoch 5542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5542With loss 0.1267430099331721 epoch: 5543 Epoch 5543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5543With loss 0.1267430099331721 epoch: 5544 Epoch 5544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5544With loss 0.1267430099331721 epoch: 5545 Epoch 5545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5545With loss 0.1267430099331721 epoch: 5546 Epoch 5546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5546With loss 0.1267430099331721 epoch: 5547 Epoch 5547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5547With loss 0.1267430099331721 epoch: 5548 Epoch 5548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5548With loss 0.1267430099331721 epoch: 5549 Epoch 5549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5549With loss 0.1267430099331721 epoch: 5550 Epoch 5550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5550With loss 0.1267430099331721 epoch: 5551 Epoch 5551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5551With loss 0.1267430099331721 epoch: 5552 Epoch 5552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5552With loss 0.1267430099331721 epoch: 5553 Epoch 5553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5553With loss 0.1267430099331721 epoch: 5554 Epoch 5554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5554With loss 0.1267430099331721 epoch: 5555 Epoch 5555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5555With loss 0.1267430099331721 epoch: 5556 Epoch 5556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5556With loss 0.1267430099331721 epoch: 5557 Epoch 5557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5557With loss 0.1267430099331721 epoch: 5558 Epoch 5558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5558With loss 0.1267430099331721 epoch: 5559 Epoch 5559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5559With loss 0.1267430099331721 epoch: 5560 Epoch 5560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5560With loss 0.1267430099331721 epoch: 5561 Epoch 5561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5561With loss 0.1267430099331721 epoch: 5562 Epoch 5562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5562With loss 0.1267430099331721 epoch: 5563 Epoch 5563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5563With loss 0.1267430099331721 epoch: 5564 Epoch 5564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5564With loss 0.1267430099331721 epoch: 5565 Epoch 5565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5565With loss 0.1267430099331721 epoch: 5566 Epoch 5566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5566With loss 0.1267430099331721 epoch: 5567 Epoch 5567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5567With loss 0.1267430099331721 epoch: 5568 Epoch 5568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5568With loss 0.1267430099331721 epoch: 5569 Epoch 5569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5569With loss 0.1267430099331721 epoch: 5570 Epoch 5570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5570With loss 0.1267430099331721 epoch: 5571 Epoch 5571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5571With loss 0.1267430099331721 epoch: 5572 Epoch 5572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5572With loss 0.1267430099331721 epoch: 5573 Epoch 5573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5573With loss 0.1267430099331721 epoch: 5574 Epoch 5574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5574With loss 0.1267430099331721 epoch: 5575 Epoch 5575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5575With loss 0.1267430099331721 epoch: 5576 Epoch 5576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5576With loss 0.1267430099331721 epoch: 5577 Epoch 5577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5577With loss 0.1267430099331721 epoch: 5578 Epoch 5578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5578With loss 0.1267430099331721 epoch: 5579 Epoch 5579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5579With loss 0.1267430099331721 epoch: 5580 Epoch 5580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5580With loss 0.1267430099331721 epoch: 5581 Epoch 5581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5581With loss 0.1267430099331721 epoch: 5582 Epoch 5582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5582With loss 0.1267430099331721 epoch: 5583 Epoch 5583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5583With loss 0.1267430099331721 epoch: 5584 Epoch 5584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5584With loss 0.1267430099331721 epoch: 5585 Epoch 5585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5585With loss 0.1267430099331721 epoch: 5586 Epoch 5586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5586With loss 0.1267430099331721 epoch: 5587 Epoch 5587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5587With loss 0.1267430099331721 epoch: 5588 Epoch 5588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5588With loss 0.1267430099331721 epoch: 5589 Epoch 5589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5589With loss 0.1267430099331721 epoch: 5590 Epoch 5590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5590With loss 0.1267430099331721 epoch: 5591 Epoch 5591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5591With loss 0.1267430099331721 epoch: 5592 Epoch 5592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5592With loss 0.1267430099331721 epoch: 5593 Epoch 5593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5593With loss 0.1267430099331721 epoch: 5594 Epoch 5594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5594With loss 0.1267430099331721 epoch: 5595 Epoch 5595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5595With loss 0.1267430099331721 epoch: 5596 Epoch 5596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5596With loss 0.1267430099331721 epoch: 5597 Epoch 5597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5597With loss 0.1267430099331721 epoch: 5598 Epoch 5598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5598With loss 0.1267430099331721 epoch: 5599 Epoch 5599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5599With loss 0.1267430099331721 epoch: 5600 Epoch 5600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5600With loss 0.1267430099331721 epoch: 5601 Epoch 5601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5601With loss 0.1267430099331721 epoch: 5602 Epoch 5602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5602With loss 0.1267430099331721 epoch: 5603 Epoch 5603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5603With loss 0.1267430099331721 epoch: 5604 Epoch 5604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5604With loss 0.1267430099331721 epoch: 5605 Epoch 5605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5605With loss 0.1267430099331721 epoch: 5606 Epoch 5606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5606With loss 0.1267430099331721 epoch: 5607 Epoch 5607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5607With loss 0.1267430099331721 epoch: 5608 Epoch 5608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5608With loss 0.1267430099331721 epoch: 5609 Epoch 5609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5609With loss 0.1267430099331721 epoch: 5610 Epoch 5610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5610With loss 0.1267430099331721 epoch: 5611 Epoch 5611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5611With loss 0.1267430099331721 epoch: 5612 Epoch 5612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5612With loss 0.1267430099331721 epoch: 5613 Epoch 5613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5613With loss 0.1267430099331721 epoch: 5614 Epoch 5614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5614With loss 0.1267430099331721 epoch: 5615 Epoch 5615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5615With loss 0.1267430099331721 epoch: 5616 Epoch 5616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5616With loss 0.1267430099331721 epoch: 5617 Epoch 5617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5617With loss 0.1267430099331721 epoch: 5618 Epoch 5618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5618With loss 0.1267430099331721 epoch: 5619 Epoch 5619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5619With loss 0.1267430099331721 epoch: 5620 Epoch 5620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5620With loss 0.1267430099331721 epoch: 5621 Epoch 5621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5621With loss 0.1267430099331721 epoch: 5622 Epoch 5622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5622With loss 0.1267430099331721 epoch: 5623 Epoch 5623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5623With loss 0.1267430099331721 epoch: 5624 Epoch 5624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5624With loss 0.1267430099331721 epoch: 5625 Epoch 5625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5625With loss 0.1267430099331721 epoch: 5626 Epoch 5626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5626With loss 0.1267430099331721 epoch: 5627 Epoch 5627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5627With loss 0.1267430099331721 epoch: 5628 Epoch 5628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5628With loss 0.1267430099331721 epoch: 5629 Epoch 5629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5629With loss 0.1267430099331721 epoch: 5630 Epoch 5630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5630With loss 0.1267430099331721 epoch: 5631 Epoch 5631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5631With loss 0.1267430099331721 epoch: 5632 Epoch 5632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5632With loss 0.1267430099331721 epoch: 5633 Epoch 5633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5633With loss 0.1267430099331721 epoch: 5634 Epoch 5634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5634With loss 0.1267430099331721 epoch: 5635 Epoch 5635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5635With loss 0.1267430099331721 epoch: 5636 Epoch 5636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5636With loss 0.1267430099331721 epoch: 5637 Epoch 5637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5637With loss 0.1267430099331721 epoch: 5638 Epoch 5638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5638With loss 0.1267430099331721 epoch: 5639 Epoch 5639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5639With loss 0.1267430099331721 epoch: 5640 Epoch 5640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5640With loss 0.1267430099331721 epoch: 5641 Epoch 5641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5641With loss 0.1267430099331721 epoch: 5642 Epoch 5642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5642With loss 0.1267430099331721 epoch: 5643 Epoch 5643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5643With loss 0.1267430099331721 epoch: 5644 Epoch 5644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5644With loss 0.1267430099331721 epoch: 5645 Epoch 5645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5645With loss 0.1267430099331721 epoch: 5646 Epoch 5646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5646With loss 0.1267430099331721 epoch: 5647 Epoch 5647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5647With loss 0.1267430099331721 epoch: 5648 Epoch 5648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5648With loss 0.1267430099331721 epoch: 5649 Epoch 5649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5649With loss 0.1267430099331721 epoch: 5650 Epoch 5650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5650With loss 0.1267430099331721 epoch: 5651 Epoch 5651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5651With loss 0.1267430099331721 epoch: 5652 Epoch 5652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5652With loss 0.1267430099331721 epoch: 5653 Epoch 5653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5653With loss 0.1267430099331721 epoch: 5654 Epoch 5654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5654With loss 0.1267430099331721 epoch: 5655 Epoch 5655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5655With loss 0.1267430099331721 epoch: 5656 Epoch 5656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5656With loss 0.1267430099331721 epoch: 5657 Epoch 5657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5657With loss 0.1267430099331721 epoch: 5658 Epoch 5658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5658With loss 0.1267430099331721 epoch: 5659 Epoch 5659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5659With loss 0.1267430099331721 epoch: 5660 Epoch 5660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5660With loss 0.1267430099331721 epoch: 5661 Epoch 5661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5661With loss 0.1267430099331721 epoch: 5662 Epoch 5662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5662With loss 0.1267430099331721 epoch: 5663 Epoch 5663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5663With loss 0.1267430099331721 epoch: 5664 Epoch 5664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5664With loss 0.1267430099331721 epoch: 5665 Epoch 5665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5665With loss 0.1267430099331721 epoch: 5666 Epoch 5666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5666With loss 0.1267430099331721 epoch: 5667 Epoch 5667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5667With loss 0.1267430099331721 epoch: 5668 Epoch 5668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5668With loss 0.1267430099331721 epoch: 5669 Epoch 5669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5669With loss 0.1267430099331721 epoch: 5670 Epoch 5670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5670With loss 0.1267430099331721 epoch: 5671 Epoch 5671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5671With loss 0.1267430099331721 epoch: 5672 Epoch 5672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5672With loss 0.1267430099331721 epoch: 5673 Epoch 5673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5673With loss 0.1267430099331721 epoch: 5674 Epoch 5674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5674With loss 0.1267430099331721 epoch: 5675 Epoch 5675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5675With loss 0.1267430099331721 epoch: 5676 Epoch 5676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5676With loss 0.1267430099331721 epoch: 5677 Epoch 5677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5677With loss 0.1267430099331721 epoch: 5678 Epoch 5678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5678With loss 0.1267430099331721 epoch: 5679 Epoch 5679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5679With loss 0.1267430099331721 epoch: 5680 Epoch 5680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5680With loss 0.1267430099331721 epoch: 5681 Epoch 5681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5681With loss 0.1267430099331721 epoch: 5682 Epoch 5682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5682With loss 0.1267430099331721 epoch: 5683 Epoch 5683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5683With loss 0.1267430099331721 epoch: 5684 Epoch 5684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5684With loss 0.1267430099331721 epoch: 5685 Epoch 5685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5685With loss 0.1267430099331721 epoch: 5686 Epoch 5686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5686With loss 0.1267430099331721 epoch: 5687 Epoch 5687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5687With loss 0.1267430099331721 epoch: 5688 Epoch 5688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5688With loss 0.1267430099331721 epoch: 5689 Epoch 5689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5689With loss 0.1267430099331721 epoch: 5690 Epoch 5690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5690With loss 0.1267430099331721 epoch: 5691 Epoch 5691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5691With loss 0.1267430099331721 epoch: 5692 Epoch 5692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5692With loss 0.1267430099331721 epoch: 5693 Epoch 5693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5693With loss 0.1267430099331721 epoch: 5694 Epoch 5694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5694With loss 0.1267430099331721 epoch: 5695 Epoch 5695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5695With loss 0.1267430099331721 epoch: 5696 Epoch 5696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5696With loss 0.1267430099331721 epoch: 5697 Epoch 5697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5697With loss 0.1267430099331721 epoch: 5698 Epoch 5698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5698With loss 0.1267430099331721 epoch: 5699 Epoch 5699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5699With loss 0.1267430099331721 epoch: 5700 Epoch 5700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5700With loss 0.1267430099331721 epoch: 5701 Epoch 5701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5701With loss 0.1267430099331721 epoch: 5702 Epoch 5702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5702With loss 0.1267430099331721 epoch: 5703 Epoch 5703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5703With loss 0.1267430099331721 epoch: 5704 Epoch 5704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5704With loss 0.1267430099331721 epoch: 5705 Epoch 5705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5705With loss 0.1267430099331721 epoch: 5706 Epoch 5706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5706With loss 0.1267430099331721 epoch: 5707 Epoch 5707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5707With loss 0.1267430099331721 epoch: 5708 Epoch 5708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5708With loss 0.1267430099331721 epoch: 5709 Epoch 5709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5709With loss 0.1267430099331721 epoch: 5710 Epoch 5710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5710With loss 0.1267430099331721 epoch: 5711 Epoch 5711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5711With loss 0.1267430099331721 epoch: 5712 Epoch 5712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5712With loss 0.1267430099331721 epoch: 5713 Epoch 5713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5713With loss 0.1267430099331721 epoch: 5714 Epoch 5714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5714With loss 0.1267430099331721 epoch: 5715 Epoch 5715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5715With loss 0.1267430099331721 epoch: 5716 Epoch 5716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5716With loss 0.1267430099331721 epoch: 5717 Epoch 5717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5717With loss 0.1267430099331721 epoch: 5718 Epoch 5718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5718With loss 0.1267430099331721 epoch: 5719 Epoch 5719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5719With loss 0.1267430099331721 epoch: 5720 Epoch 5720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5720With loss 0.1267430099331721 epoch: 5721 Epoch 5721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5721With loss 0.1267430099331721 epoch: 5722 Epoch 5722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5722With loss 0.1267430099331721 epoch: 5723 Epoch 5723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5723With loss 0.1267430099331721 epoch: 5724 Epoch 5724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5724With loss 0.1267430099331721 epoch: 5725 Epoch 5725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5725With loss 0.1267430099331721 epoch: 5726 Epoch 5726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5726With loss 0.1267430099331721 epoch: 5727 Epoch 5727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5727With loss 0.1267430099331721 epoch: 5728 Epoch 5728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5728With loss 0.1267430099331721 epoch: 5729 Epoch 5729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5729With loss 0.1267430099331721 epoch: 5730 Epoch 5730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5730With loss 0.1267430099331721 epoch: 5731 Epoch 5731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5731With loss 0.1267430099331721 epoch: 5732 Epoch 5732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5732With loss 0.1267430099331721 epoch: 5733 Epoch 5733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5733With loss 0.1267430099331721 epoch: 5734 Epoch 5734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5734With loss 0.1267430099331721 epoch: 5735 Epoch 5735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5735With loss 0.1267430099331721 epoch: 5736 Epoch 5736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5736With loss 0.1267430099331721 epoch: 5737 Epoch 5737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5737With loss 0.1267430099331721 epoch: 5738 Epoch 5738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5738With loss 0.1267430099331721 epoch: 5739 Epoch 5739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5739With loss 0.1267430099331721 epoch: 5740 Epoch 5740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5740With loss 0.1267430099331721 epoch: 5741 Epoch 5741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5741With loss 0.1267430099331721 epoch: 5742 Epoch 5742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5742With loss 0.1267430099331721 epoch: 5743 Epoch 5743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5743With loss 0.1267430099331721 epoch: 5744 Epoch 5744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5744With loss 0.1267430099331721 epoch: 5745 Epoch 5745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5745With loss 0.1267430099331721 epoch: 5746 Epoch 5746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5746With loss 0.1267430099331721 epoch: 5747 Epoch 5747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5747With loss 0.1267430099331721 epoch: 5748 Epoch 5748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5748With loss 0.1267430099331721 epoch: 5749 Epoch 5749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5749With loss 0.1267430099331721 epoch: 5750 Epoch 5750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5750With loss 0.1267430099331721 epoch: 5751 Epoch 5751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5751With loss 0.1267430099331721 epoch: 5752 Epoch 5752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5752With loss 0.1267430099331721 epoch: 5753 Epoch 5753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5753With loss 0.1267430099331721 epoch: 5754 Epoch 5754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5754With loss 0.1267430099331721 epoch: 5755 Epoch 5755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5755With loss 0.1267430099331721 epoch: 5756 Epoch 5756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5756With loss 0.1267430099331721 epoch: 5757 Epoch 5757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5757With loss 0.1267430099331721 epoch: 5758 Epoch 5758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5758With loss 0.1267430099331721 epoch: 5759 Epoch 5759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5759With loss 0.1267430099331721 epoch: 5760 Epoch 5760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5760With loss 0.1267430099331721 epoch: 5761 Epoch 5761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5761With loss 0.1267430099331721 epoch: 5762 Epoch 5762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5762With loss 0.1267430099331721 epoch: 5763 Epoch 5763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5763With loss 0.1267430099331721 epoch: 5764 Epoch 5764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5764With loss 0.1267430099331721 epoch: 5765 Epoch 5765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5765With loss 0.1267430099331721 epoch: 5766 Epoch 5766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5766With loss 0.1267430099331721 epoch: 5767 Epoch 5767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5767With loss 0.1267430099331721 epoch: 5768 Epoch 5768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5768With loss 0.1267430099331721 epoch: 5769 Epoch 5769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5769With loss 0.1267430099331721 epoch: 5770 Epoch 5770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5770With loss 0.1267430099331721 epoch: 5771 Epoch 5771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5771With loss 0.1267430099331721 epoch: 5772 Epoch 5772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5772With loss 0.1267430099331721 epoch: 5773 Epoch 5773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5773With loss 0.1267430099331721 epoch: 5774 Epoch 5774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5774With loss 0.1267430099331721 epoch: 5775 Epoch 5775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5775With loss 0.1267430099331721 epoch: 5776 Epoch 5776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5776With loss 0.1267430099331721 epoch: 5777 Epoch 5777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5777With loss 0.1267430099331721 epoch: 5778 Epoch 5778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5778With loss 0.1267430099331721 epoch: 5779 Epoch 5779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5779With loss 0.1267430099331721 epoch: 5780 Epoch 5780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5780With loss 0.1267430099331721 epoch: 5781 Epoch 5781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5781With loss 0.1267430099331721 epoch: 5782 Epoch 5782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5782With loss 0.1267430099331721 epoch: 5783 Epoch 5783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5783With loss 0.1267430099331721 epoch: 5784 Epoch 5784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5784With loss 0.1267430099331721 epoch: 5785 Epoch 5785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5785With loss 0.1267430099331721 epoch: 5786 Epoch 5786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5786With loss 0.1267430099331721 epoch: 5787 Epoch 5787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5787With loss 0.1267430099331721 epoch: 5788 Epoch 5788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5788With loss 0.1267430099331721 epoch: 5789 Epoch 5789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5789With loss 0.1267430099331721 epoch: 5790 Epoch 5790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5790With loss 0.1267430099331721 epoch: 5791 Epoch 5791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5791With loss 0.1267430099331721 epoch: 5792 Epoch 5792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5792With loss 0.1267430099331721 epoch: 5793 Epoch 5793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5793With loss 0.1267430099331721 epoch: 5794 Epoch 5794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5794With loss 0.1267430099331721 epoch: 5795 Epoch 5795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5795With loss 0.1267430099331721 epoch: 5796 Epoch 5796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5796With loss 0.1267430099331721 epoch: 5797 Epoch 5797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5797With loss 0.1267430099331721 epoch: 5798 Epoch 5798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5798With loss 0.1267430099331721 epoch: 5799 Epoch 5799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5799With loss 0.1267430099331721 epoch: 5800 Epoch 5800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5800With loss 0.1267430099331721 epoch: 5801 Epoch 5801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5801With loss 0.1267430099331721 epoch: 5802 Epoch 5802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5802With loss 0.1267430099331721 epoch: 5803 Epoch 5803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5803With loss 0.1267430099331721 epoch: 5804 Epoch 5804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5804With loss 0.1267430099331721 epoch: 5805 Epoch 5805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5805With loss 0.1267430099331721 epoch: 5806 Epoch 5806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5806With loss 0.1267430099331721 epoch: 5807 Epoch 5807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5807With loss 0.1267430099331721 epoch: 5808 Epoch 5808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5808With loss 0.1267430099331721 epoch: 5809 Epoch 5809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5809With loss 0.1267430099331721 epoch: 5810 Epoch 5810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5810With loss 0.1267430099331721 epoch: 5811 Epoch 5811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5811With loss 0.1267430099331721 epoch: 5812 Epoch 5812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5812With loss 0.1267430099331721 epoch: 5813 Epoch 5813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5813With loss 0.1267430099331721 epoch: 5814 Epoch 5814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5814With loss 0.1267430099331721 epoch: 5815 Epoch 5815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5815With loss 0.1267430099331721 epoch: 5816 Epoch 5816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5816With loss 0.1267430099331721 epoch: 5817 Epoch 5817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5817With loss 0.1267430099331721 epoch: 5818 Epoch 5818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5818With loss 0.1267430099331721 epoch: 5819 Epoch 5819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5819With loss 0.1267430099331721 epoch: 5820 Epoch 5820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5820With loss 0.1267430099331721 epoch: 5821 Epoch 5821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5821With loss 0.1267430099331721 epoch: 5822 Epoch 5822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5822With loss 0.1267430099331721 epoch: 5823 Epoch 5823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5823With loss 0.1267430099331721 epoch: 5824 Epoch 5824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5824With loss 0.1267430099331721 epoch: 5825 Epoch 5825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5825With loss 0.1267430099331721 epoch: 5826 Epoch 5826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5826With loss 0.1267430099331721 epoch: 5827 Epoch 5827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5827With loss 0.1267430099331721 epoch: 5828 Epoch 5828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5828With loss 0.1267430099331721 epoch: 5829 Epoch 5829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5829With loss 0.1267430099331721 epoch: 5830 Epoch 5830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5830With loss 0.1267430099331721 epoch: 5831 Epoch 5831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5831With loss 0.1267430099331721 epoch: 5832 Epoch 5832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5832With loss 0.1267430099331721 epoch: 5833 Epoch 5833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5833With loss 0.1267430099331721 epoch: 5834 Epoch 5834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5834With loss 0.1267430099331721 epoch: 5835 Epoch 5835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5835With loss 0.1267430099331721 epoch: 5836 Epoch 5836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5836With loss 0.1267430099331721 epoch: 5837 Epoch 5837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5837With loss 0.1267430099331721 epoch: 5838 Epoch 5838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5838With loss 0.1267430099331721 epoch: 5839 Epoch 5839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5839With loss 0.1267430099331721 epoch: 5840 Epoch 5840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5840With loss 0.1267430099331721 epoch: 5841 Epoch 5841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5841With loss 0.1267430099331721 epoch: 5842 Epoch 5842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5842With loss 0.1267430099331721 epoch: 5843 Epoch 5843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5843With loss 0.1267430099331721 epoch: 5844 Epoch 5844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5844With loss 0.1267430099331721 epoch: 5845 Epoch 5845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5845With loss 0.1267430099331721 epoch: 5846 Epoch 5846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5846With loss 0.1267430099331721 epoch: 5847 Epoch 5847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5847With loss 0.1267430099331721 epoch: 5848 Epoch 5848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5848With loss 0.1267430099331721 epoch: 5849 Epoch 5849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5849With loss 0.1267430099331721 epoch: 5850 Epoch 5850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5850With loss 0.1267430099331721 epoch: 5851 Epoch 5851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5851With loss 0.1267430099331721 epoch: 5852 Epoch 5852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5852With loss 0.1267430099331721 epoch: 5853 Epoch 5853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5853With loss 0.1267430099331721 epoch: 5854 Epoch 5854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5854With loss 0.1267430099331721 epoch: 5855 Epoch 5855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5855With loss 0.1267430099331721 epoch: 5856 Epoch 5856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5856With loss 0.1267430099331721 epoch: 5857 Epoch 5857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5857With loss 0.1267430099331721 epoch: 5858 Epoch 5858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5858With loss 0.1267430099331721 epoch: 5859 Epoch 5859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5859With loss 0.1267430099331721 epoch: 5860 Epoch 5860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5860With loss 0.1267430099331721 epoch: 5861 Epoch 5861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5861With loss 0.1267430099331721 epoch: 5862 Epoch 5862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5862With loss 0.1267430099331721 epoch: 5863 Epoch 5863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5863With loss 0.1267430099331721 epoch: 5864 Epoch 5864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5864With loss 0.1267430099331721 epoch: 5865 Epoch 5865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5865With loss 0.1267430099331721 epoch: 5866 Epoch 5866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5866With loss 0.1267430099331721 epoch: 5867 Epoch 5867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5867With loss 0.1267430099331721 epoch: 5868 Epoch 5868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5868With loss 0.1267430099331721 epoch: 5869 Epoch 5869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5869With loss 0.1267430099331721 epoch: 5870 Epoch 5870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5870With loss 0.1267430099331721 epoch: 5871 Epoch 5871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5871With loss 0.1267430099331721 epoch: 5872 Epoch 5872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5872With loss 0.1267430099331721 epoch: 5873 Epoch 5873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5873With loss 0.1267430099331721 epoch: 5874 Epoch 5874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5874With loss 0.1267430099331721 epoch: 5875 Epoch 5875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5875With loss 0.1267430099331721 epoch: 5876 Epoch 5876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5876With loss 0.1267430099331721 epoch: 5877 Epoch 5877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5877With loss 0.1267430099331721 epoch: 5878 Epoch 5878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5878With loss 0.1267430099331721 epoch: 5879 Epoch 5879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5879With loss 0.1267430099331721 epoch: 5880 Epoch 5880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5880With loss 0.1267430099331721 epoch: 5881 Epoch 5881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5881With loss 0.1267430099331721 epoch: 5882 Epoch 5882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5882With loss 0.1267430099331721 epoch: 5883 Epoch 5883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5883With loss 0.1267430099331721 epoch: 5884 Epoch 5884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5884With loss 0.1267430099331721 epoch: 5885 Epoch 5885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5885With loss 0.1267430099331721 epoch: 5886 Epoch 5886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5886With loss 0.1267430099331721 epoch: 5887 Epoch 5887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5887With loss 0.1267430099331721 epoch: 5888 Epoch 5888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5888With loss 0.1267430099331721 epoch: 5889 Epoch 5889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5889With loss 0.1267430099331721 epoch: 5890 Epoch 5890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5890With loss 0.1267430099331721 epoch: 5891 Epoch 5891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5891With loss 0.1267430099331721 epoch: 5892 Epoch 5892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5892With loss 0.1267430099331721 epoch: 5893 Epoch 5893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5893With loss 0.1267430099331721 epoch: 5894 Epoch 5894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5894With loss 0.1267430099331721 epoch: 5895 Epoch 5895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5895With loss 0.1267430099331721 epoch: 5896 Epoch 5896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5896With loss 0.1267430099331721 epoch: 5897 Epoch 5897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5897With loss 0.1267430099331721 epoch: 5898 Epoch 5898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5898With loss 0.1267430099331721 epoch: 5899 Epoch 5899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5899With loss 0.1267430099331721 epoch: 5900 Epoch 5900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5900With loss 0.1267430099331721 epoch: 5901 Epoch 5901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5901With loss 0.1267430099331721 epoch: 5902 Epoch 5902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5902With loss 0.1267430099331721 epoch: 5903 Epoch 5903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5903With loss 0.1267430099331721 epoch: 5904 Epoch 5904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5904With loss 0.1267430099331721 epoch: 5905 Epoch 5905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5905With loss 0.1267430099331721 epoch: 5906 Epoch 5906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5906With loss 0.1267430099331721 epoch: 5907 Epoch 5907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5907With loss 0.1267430099331721 epoch: 5908 Epoch 5908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5908With loss 0.1267430099331721 epoch: 5909 Epoch 5909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5909With loss 0.1267430099331721 epoch: 5910 Epoch 5910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5910With loss 0.1267430099331721 epoch: 5911 Epoch 5911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5911With loss 0.1267430099331721 epoch: 5912 Epoch 5912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5912With loss 0.1267430099331721 epoch: 5913 Epoch 5913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5913With loss 0.1267430099331721 epoch: 5914 Epoch 5914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5914With loss 0.1267430099331721 epoch: 5915 Epoch 5915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5915With loss 0.1267430099331721 epoch: 5916 Epoch 5916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5916With loss 0.1267430099331721 epoch: 5917 Epoch 5917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5917With loss 0.1267430099331721 epoch: 5918 Epoch 5918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5918With loss 0.1267430099331721 epoch: 5919 Epoch 5919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5919With loss 0.1267430099331721 epoch: 5920 Epoch 5920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5920With loss 0.1267430099331721 epoch: 5921 Epoch 5921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5921With loss 0.1267430099331721 epoch: 5922 Epoch 5922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5922With loss 0.1267430099331721 epoch: 5923 Epoch 5923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5923With loss 0.1267430099331721 epoch: 5924 Epoch 5924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5924With loss 0.1267430099331721 epoch: 5925 Epoch 5925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5925With loss 0.1267430099331721 epoch: 5926 Epoch 5926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5926With loss 0.1267430099331721 epoch: 5927 Epoch 5927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5927With loss 0.1267430099331721 epoch: 5928 Epoch 5928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5928With loss 0.1267430099331721 epoch: 5929 Epoch 5929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5929With loss 0.1267430099331721 epoch: 5930 Epoch 5930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5930With loss 0.1267430099331721 epoch: 5931 Epoch 5931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5931With loss 0.1267430099331721 epoch: 5932 Epoch 5932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5932With loss 0.1267430099331721 epoch: 5933 Epoch 5933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5933With loss 0.1267430099331721 epoch: 5934 Epoch 5934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5934With loss 0.1267430099331721 epoch: 5935 Epoch 5935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5935With loss 0.1267430099331721 epoch: 5936 Epoch 5936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5936With loss 0.1267430099331721 epoch: 5937 Epoch 5937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5937With loss 0.1267430099331721 epoch: 5938 Epoch 5938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5938With loss 0.1267430099331721 epoch: 5939 Epoch 5939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5939With loss 0.1267430099331721 epoch: 5940 Epoch 5940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5940With loss 0.1267430099331721 epoch: 5941 Epoch 5941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5941With loss 0.1267430099331721 epoch: 5942 Epoch 5942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5942With loss 0.1267430099331721 epoch: 5943 Epoch 5943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5943With loss 0.1267430099331721 epoch: 5944 Epoch 5944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5944With loss 0.1267430099331721 epoch: 5945 Epoch 5945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5945With loss 0.1267430099331721 epoch: 5946 Epoch 5946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5946With loss 0.1267430099331721 epoch: 5947 Epoch 5947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5947With loss 0.1267430099331721 epoch: 5948 Epoch 5948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5948With loss 0.1267430099331721 epoch: 5949 Epoch 5949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5949With loss 0.1267430099331721 epoch: 5950 Epoch 5950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5950With loss 0.1267430099331721 epoch: 5951 Epoch 5951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5951With loss 0.1267430099331721 epoch: 5952 Epoch 5952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5952With loss 0.1267430099331721 epoch: 5953 Epoch 5953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5953With loss 0.1267430099331721 epoch: 5954 Epoch 5954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5954With loss 0.1267430099331721 epoch: 5955 Epoch 5955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5955With loss 0.1267430099331721 epoch: 5956 Epoch 5956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5956With loss 0.1267430099331721 epoch: 5957 Epoch 5957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5957With loss 0.1267430099331721 epoch: 5958 Epoch 5958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5958With loss 0.1267430099331721 epoch: 5959 Epoch 5959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5959With loss 0.1267430099331721 epoch: 5960 Epoch 5960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5960With loss 0.1267430099331721 epoch: 5961 Epoch 5961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5961With loss 0.1267430099331721 epoch: 5962 Epoch 5962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5962With loss 0.1267430099331721 epoch: 5963 Epoch 5963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5963With loss 0.1267430099331721 epoch: 5964 Epoch 5964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5964With loss 0.1267430099331721 epoch: 5965 Epoch 5965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5965With loss 0.1267430099331721 epoch: 5966 Epoch 5966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5966With loss 0.1267430099331721 epoch: 5967 Epoch 5967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5967With loss 0.1267430099331721 epoch: 5968 Epoch 5968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5968With loss 0.1267430099331721 epoch: 5969 Epoch 5969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5969With loss 0.1267430099331721 epoch: 5970 Epoch 5970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5970With loss 0.1267430099331721 epoch: 5971 Epoch 5971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5971With loss 0.1267430099331721 epoch: 5972 Epoch 5972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5972With loss 0.1267430099331721 epoch: 5973 Epoch 5973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5973With loss 0.1267430099331721 epoch: 5974 Epoch 5974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5974With loss 0.1267430099331721 epoch: 5975 Epoch 5975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5975With loss 0.1267430099331721 epoch: 5976 Epoch 5976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5976With loss 0.1267430099331721 epoch: 5977 Epoch 5977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5977With loss 0.1267430099331721 epoch: 5978 Epoch 5978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5978With loss 0.1267430099331721 epoch: 5979 Epoch 5979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5979With loss 0.1267430099331721 epoch: 5980 Epoch 5980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5980With loss 0.1267430099331721 epoch: 5981 Epoch 5981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5981With loss 0.1267430099331721 epoch: 5982 Epoch 5982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5982With loss 0.1267430099331721 epoch: 5983 Epoch 5983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5983With loss 0.1267430099331721 epoch: 5984 Epoch 5984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5984With loss 0.1267430099331721 epoch: 5985 Epoch 5985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5985With loss 0.1267430099331721 epoch: 5986 Epoch 5986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5986With loss 0.1267430099331721 epoch: 5987 Epoch 5987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5987With loss 0.1267430099331721 epoch: 5988 Epoch 5988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5988With loss 0.1267430099331721 epoch: 5989 Epoch 5989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5989With loss 0.1267430099331721 epoch: 5990 Epoch 5990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5990With loss 0.1267430099331721 epoch: 5991 Epoch 5991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5991With loss 0.1267430099331721 epoch: 5992 Epoch 5992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5992With loss 0.1267430099331721 epoch: 5993 Epoch 5993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5993With loss 0.1267430099331721 epoch: 5994 Epoch 5994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5994With loss 0.1267430099331721 epoch: 5995 Epoch 5995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5995With loss 0.1267430099331721 epoch: 5996 Epoch 5996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5996With loss 0.1267430099331721 epoch: 5997 Epoch 5997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5997With loss 0.1267430099331721 epoch: 5998 Epoch 5998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5998With loss 0.1267430099331721 epoch: 5999 Epoch 5999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 5999With loss 0.1267430099331721 epoch: 6000 Epoch 6000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6000With loss 0.1267430099331721 epoch: 6001 Epoch 6001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6001With loss 0.1267430099331721 epoch: 6002 Epoch 6002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6002With loss 0.1267430099331721 epoch: 6003 Epoch 6003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6003With loss 0.1267430099331721 epoch: 6004 Epoch 6004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6004With loss 0.1267430099331721 epoch: 6005 Epoch 6005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6005With loss 0.1267430099331721 epoch: 6006 Epoch 6006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6006With loss 0.1267430099331721 epoch: 6007 Epoch 6007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6007With loss 0.1267430099331721 epoch: 6008 Epoch 6008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6008With loss 0.1267430099331721 epoch: 6009 Epoch 6009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6009With loss 0.1267430099331721 epoch: 6010 Epoch 6010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6010With loss 0.1267430099331721 epoch: 6011 Epoch 6011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6011With loss 0.1267430099331721 epoch: 6012 Epoch 6012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6012With loss 0.1267430099331721 epoch: 6013 Epoch 6013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6013With loss 0.1267430099331721 epoch: 6014 Epoch 6014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6014With loss 0.1267430099331721 epoch: 6015 Epoch 6015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6015With loss 0.1267430099331721 epoch: 6016 Epoch 6016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6016With loss 0.1267430099331721 epoch: 6017 Epoch 6017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6017With loss 0.1267430099331721 epoch: 6018 Epoch 6018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6018With loss 0.1267430099331721 epoch: 6019 Epoch 6019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6019With loss 0.1267430099331721 epoch: 6020 Epoch 6020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6020With loss 0.1267430099331721 epoch: 6021 Epoch 6021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6021With loss 0.1267430099331721 epoch: 6022 Epoch 6022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6022With loss 0.1267430099331721 epoch: 6023 Epoch 6023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6023With loss 0.1267430099331721 epoch: 6024 Epoch 6024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6024With loss 0.1267430099331721 epoch: 6025 Epoch 6025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6025With loss 0.1267430099331721 epoch: 6026 Epoch 6026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6026With loss 0.1267430099331721 epoch: 6027 Epoch 6027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6027With loss 0.1267430099331721 epoch: 6028 Epoch 6028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6028With loss 0.1267430099331721 epoch: 6029 Epoch 6029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6029With loss 0.1267430099331721 epoch: 6030 Epoch 6030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6030With loss 0.1267430099331721 epoch: 6031 Epoch 6031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6031With loss 0.1267430099331721 epoch: 6032 Epoch 6032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6032With loss 0.1267430099331721 epoch: 6033 Epoch 6033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6033With loss 0.1267430099331721 epoch: 6034 Epoch 6034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6034With loss 0.1267430099331721 epoch: 6035 Epoch 6035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6035With loss 0.1267430099331721 epoch: 6036 Epoch 6036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6036With loss 0.1267430099331721 epoch: 6037 Epoch 6037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6037With loss 0.1267430099331721 epoch: 6038 Epoch 6038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6038With loss 0.1267430099331721 epoch: 6039 Epoch 6039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6039With loss 0.1267430099331721 epoch: 6040 Epoch 6040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6040With loss 0.1267430099331721 epoch: 6041 Epoch 6041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6041With loss 0.1267430099331721 epoch: 6042 Epoch 6042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6042With loss 0.1267430099331721 epoch: 6043 Epoch 6043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6043With loss 0.1267430099331721 epoch: 6044 Epoch 6044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6044With loss 0.1267430099331721 epoch: 6045 Epoch 6045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6045With loss 0.1267430099331721 epoch: 6046 Epoch 6046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6046With loss 0.1267430099331721 epoch: 6047 Epoch 6047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6047With loss 0.1267430099331721 epoch: 6048 Epoch 6048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6048With loss 0.1267430099331721 epoch: 6049 Epoch 6049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6049With loss 0.1267430099331721 epoch: 6050 Epoch 6050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6050With loss 0.1267430099331721 epoch: 6051 Epoch 6051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6051With loss 0.1267430099331721 epoch: 6052 Epoch 6052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6052With loss 0.1267430099331721 epoch: 6053 Epoch 6053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6053With loss 0.1267430099331721 epoch: 6054 Epoch 6054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6054With loss 0.1267430099331721 epoch: 6055 Epoch 6055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6055With loss 0.1267430099331721 epoch: 6056 Epoch 6056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6056With loss 0.1267430099331721 epoch: 6057 Epoch 6057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6057With loss 0.1267430099331721 epoch: 6058 Epoch 6058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6058With loss 0.1267430099331721 epoch: 6059 Epoch 6059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6059With loss 0.1267430099331721 epoch: 6060 Epoch 6060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6060With loss 0.1267430099331721 epoch: 6061 Epoch 6061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6061With loss 0.1267430099331721 epoch: 6062 Epoch 6062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6062With loss 0.1267430099331721 epoch: 6063 Epoch 6063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6063With loss 0.1267430099331721 epoch: 6064 Epoch 6064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6064With loss 0.1267430099331721 epoch: 6065 Epoch 6065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6065With loss 0.1267430099331721 epoch: 6066 Epoch 6066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6066With loss 0.1267430099331721 epoch: 6067 Epoch 6067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6067With loss 0.1267430099331721 epoch: 6068 Epoch 6068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6068With loss 0.1267430099331721 epoch: 6069 Epoch 6069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6069With loss 0.1267430099331721 epoch: 6070 Epoch 6070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6070With loss 0.1267430099331721 epoch: 6071 Epoch 6071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6071With loss 0.1267430099331721 epoch: 6072 Epoch 6072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6072With loss 0.1267430099331721 epoch: 6073 Epoch 6073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6073With loss 0.1267430099331721 epoch: 6074 Epoch 6074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6074With loss 0.1267430099331721 epoch: 6075 Epoch 6075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6075With loss 0.1267430099331721 epoch: 6076 Epoch 6076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6076With loss 0.1267430099331721 epoch: 6077 Epoch 6077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6077With loss 0.1267430099331721 epoch: 6078 Epoch 6078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6078With loss 0.1267430099331721 epoch: 6079 Epoch 6079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6079With loss 0.1267430099331721 epoch: 6080 Epoch 6080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6080With loss 0.1267430099331721 epoch: 6081 Epoch 6081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6081With loss 0.1267430099331721 epoch: 6082 Epoch 6082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6082With loss 0.1267430099331721 epoch: 6083 Epoch 6083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6083With loss 0.1267430099331721 epoch: 6084 Epoch 6084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6084With loss 0.1267430099331721 epoch: 6085 Epoch 6085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6085With loss 0.1267430099331721 epoch: 6086 Epoch 6086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6086With loss 0.1267430099331721 epoch: 6087 Epoch 6087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6087With loss 0.1267430099331721 epoch: 6088 Epoch 6088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6088With loss 0.1267430099331721 epoch: 6089 Epoch 6089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6089With loss 0.1267430099331721 epoch: 6090 Epoch 6090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6090With loss 0.1267430099331721 epoch: 6091 Epoch 6091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6091With loss 0.1267430099331721 epoch: 6092 Epoch 6092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6092With loss 0.1267430099331721 epoch: 6093 Epoch 6093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6093With loss 0.1267430099331721 epoch: 6094 Epoch 6094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6094With loss 0.1267430099331721 epoch: 6095 Epoch 6095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6095With loss 0.1267430099331721 epoch: 6096 Epoch 6096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6096With loss 0.1267430099331721 epoch: 6097 Epoch 6097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6097With loss 0.1267430099331721 epoch: 6098 Epoch 6098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6098With loss 0.1267430099331721 epoch: 6099 Epoch 6099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6099With loss 0.1267430099331721 epoch: 6100 Epoch 6100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6100With loss 0.1267430099331721 epoch: 6101 Epoch 6101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6101With loss 0.1267430099331721 epoch: 6102 Epoch 6102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6102With loss 0.1267430099331721 epoch: 6103 Epoch 6103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6103With loss 0.1267430099331721 epoch: 6104 Epoch 6104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6104With loss 0.1267430099331721 epoch: 6105 Epoch 6105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6105With loss 0.1267430099331721 epoch: 6106 Epoch 6106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6106With loss 0.1267430099331721 epoch: 6107 Epoch 6107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6107With loss 0.1267430099331721 epoch: 6108 Epoch 6108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6108With loss 0.1267430099331721 epoch: 6109 Epoch 6109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6109With loss 0.1267430099331721 epoch: 6110 Epoch 6110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6110With loss 0.1267430099331721 epoch: 6111 Epoch 6111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6111With loss 0.1267430099331721 epoch: 6112 Epoch 6112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6112With loss 0.1267430099331721 epoch: 6113 Epoch 6113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6113With loss 0.1267430099331721 epoch: 6114 Epoch 6114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6114With loss 0.1267430099331721 epoch: 6115 Epoch 6115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6115With loss 0.1267430099331721 epoch: 6116 Epoch 6116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6116With loss 0.1267430099331721 epoch: 6117 Epoch 6117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6117With loss 0.1267430099331721 epoch: 6118 Epoch 6118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6118With loss 0.1267430099331721 epoch: 6119 Epoch 6119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6119With loss 0.1267430099331721 epoch: 6120 Epoch 6120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6120With loss 0.1267430099331721 epoch: 6121 Epoch 6121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6121With loss 0.1267430099331721 epoch: 6122 Epoch 6122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6122With loss 0.1267430099331721 epoch: 6123 Epoch 6123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6123With loss 0.1267430099331721 epoch: 6124 Epoch 6124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6124With loss 0.1267430099331721 epoch: 6125 Epoch 6125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6125With loss 0.1267430099331721 epoch: 6126 Epoch 6126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6126With loss 0.1267430099331721 epoch: 6127 Epoch 6127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6127With loss 0.1267430099331721 epoch: 6128 Epoch 6128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6128With loss 0.1267430099331721 epoch: 6129 Epoch 6129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6129With loss 0.1267430099331721 epoch: 6130 Epoch 6130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6130With loss 0.1267430099331721 epoch: 6131 Epoch 6131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6131With loss 0.1267430099331721 epoch: 6132 Epoch 6132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6132With loss 0.1267430099331721 epoch: 6133 Epoch 6133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6133With loss 0.1267430099331721 epoch: 6134 Epoch 6134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6134With loss 0.1267430099331721 epoch: 6135 Epoch 6135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6135With loss 0.1267430099331721 epoch: 6136 Epoch 6136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6136With loss 0.1267430099331721 epoch: 6137 Epoch 6137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6137With loss 0.1267430099331721 epoch: 6138 Epoch 6138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6138With loss 0.1267430099331721 epoch: 6139 Epoch 6139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6139With loss 0.1267430099331721 epoch: 6140 Epoch 6140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6140With loss 0.1267430099331721 epoch: 6141 Epoch 6141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6141With loss 0.1267430099331721 epoch: 6142 Epoch 6142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6142With loss 0.1267430099331721 epoch: 6143 Epoch 6143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6143With loss 0.1267430099331721 epoch: 6144 Epoch 6144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6144With loss 0.1267430099331721 epoch: 6145 Epoch 6145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6145With loss 0.1267430099331721 epoch: 6146 Epoch 6146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6146With loss 0.1267430099331721 epoch: 6147 Epoch 6147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6147With loss 0.1267430099331721 epoch: 6148 Epoch 6148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6148With loss 0.1267430099331721 epoch: 6149 Epoch 6149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6149With loss 0.1267430099331721 epoch: 6150 Epoch 6150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6150With loss 0.1267430099331721 epoch: 6151 Epoch 6151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6151With loss 0.1267430099331721 epoch: 6152 Epoch 6152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6152With loss 0.1267430099331721 epoch: 6153 Epoch 6153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6153With loss 0.1267430099331721 epoch: 6154 Epoch 6154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6154With loss 0.1267430099331721 epoch: 6155 Epoch 6155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6155With loss 0.1267430099331721 epoch: 6156 Epoch 6156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6156With loss 0.1267430099331721 epoch: 6157 Epoch 6157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6157With loss 0.1267430099331721 epoch: 6158 Epoch 6158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6158With loss 0.1267430099331721 epoch: 6159 Epoch 6159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6159With loss 0.1267430099331721 epoch: 6160 Epoch 6160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6160With loss 0.1267430099331721 epoch: 6161 Epoch 6161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6161With loss 0.1267430099331721 epoch: 6162 Epoch 6162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6162With loss 0.1267430099331721 epoch: 6163 Epoch 6163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6163With loss 0.1267430099331721 epoch: 6164 Epoch 6164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6164With loss 0.1267430099331721 epoch: 6165 Epoch 6165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6165With loss 0.1267430099331721 epoch: 6166 Epoch 6166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6166With loss 0.1267430099331721 epoch: 6167 Epoch 6167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6167With loss 0.1267430099331721 epoch: 6168 Epoch 6168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6168With loss 0.1267430099331721 epoch: 6169 Epoch 6169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6169With loss 0.1267430099331721 epoch: 6170 Epoch 6170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6170With loss 0.1267430099331721 epoch: 6171 Epoch 6171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6171With loss 0.1267430099331721 epoch: 6172 Epoch 6172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6172With loss 0.1267430099331721 epoch: 6173 Epoch 6173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6173With loss 0.1267430099331721 epoch: 6174 Epoch 6174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6174With loss 0.1267430099331721 epoch: 6175 Epoch 6175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6175With loss 0.1267430099331721 epoch: 6176 Epoch 6176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6176With loss 0.1267430099331721 epoch: 6177 Epoch 6177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6177With loss 0.1267430099331721 epoch: 6178 Epoch 6178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6178With loss 0.1267430099331721 epoch: 6179 Epoch 6179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6179With loss 0.1267430099331721 epoch: 6180 Epoch 6180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6180With loss 0.1267430099331721 epoch: 6181 Epoch 6181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6181With loss 0.1267430099331721 epoch: 6182 Epoch 6182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6182With loss 0.1267430099331721 epoch: 6183 Epoch 6183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6183With loss 0.1267430099331721 epoch: 6184 Epoch 6184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6184With loss 0.1267430099331721 epoch: 6185 Epoch 6185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6185With loss 0.1267430099331721 epoch: 6186 Epoch 6186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6186With loss 0.1267430099331721 epoch: 6187 Epoch 6187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6187With loss 0.1267430099331721 epoch: 6188 Epoch 6188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6188With loss 0.1267430099331721 epoch: 6189 Epoch 6189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6189With loss 0.1267430099331721 epoch: 6190 Epoch 6190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6190With loss 0.1267430099331721 epoch: 6191 Epoch 6191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6191With loss 0.1267430099331721 epoch: 6192 Epoch 6192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6192With loss 0.1267430099331721 epoch: 6193 Epoch 6193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6193With loss 0.1267430099331721 epoch: 6194 Epoch 6194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6194With loss 0.1267430099331721 epoch: 6195 Epoch 6195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6195With loss 0.1267430099331721 epoch: 6196 Epoch 6196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6196With loss 0.1267430099331721 epoch: 6197 Epoch 6197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6197With loss 0.1267430099331721 epoch: 6198 Epoch 6198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6198With loss 0.1267430099331721 epoch: 6199 Epoch 6199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6199With loss 0.1267430099331721 epoch: 6200 Epoch 6200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6200With loss 0.1267430099331721 epoch: 6201 Epoch 6201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6201With loss 0.1267430099331721 epoch: 6202 Epoch 6202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6202With loss 0.1267430099331721 epoch: 6203 Epoch 6203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6203With loss 0.1267430099331721 epoch: 6204 Epoch 6204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6204With loss 0.1267430099331721 epoch: 6205 Epoch 6205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6205With loss 0.1267430099331721 epoch: 6206 Epoch 6206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6206With loss 0.1267430099331721 epoch: 6207 Epoch 6207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6207With loss 0.1267430099331721 epoch: 6208 Epoch 6208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6208With loss 0.1267430099331721 epoch: 6209 Epoch 6209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6209With loss 0.1267430099331721 epoch: 6210 Epoch 6210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6210With loss 0.1267430099331721 epoch: 6211 Epoch 6211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6211With loss 0.1267430099331721 epoch: 6212 Epoch 6212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6212With loss 0.1267430099331721 epoch: 6213 Epoch 6213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6213With loss 0.1267430099331721 epoch: 6214 Epoch 6214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6214With loss 0.1267430099331721 epoch: 6215 Epoch 6215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6215With loss 0.1267430099331721 epoch: 6216 Epoch 6216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6216With loss 0.1267430099331721 epoch: 6217 Epoch 6217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6217With loss 0.1267430099331721 epoch: 6218 Epoch 6218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6218With loss 0.1267430099331721 epoch: 6219 Epoch 6219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6219With loss 0.1267430099331721 epoch: 6220 Epoch 6220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6220With loss 0.1267430099331721 epoch: 6221 Epoch 6221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6221With loss 0.1267430099331721 epoch: 6222 Epoch 6222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6222With loss 0.1267430099331721 epoch: 6223 Epoch 6223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6223With loss 0.1267430099331721 epoch: 6224 Epoch 6224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6224With loss 0.1267430099331721 epoch: 6225 Epoch 6225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6225With loss 0.1267430099331721 epoch: 6226 Epoch 6226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6226With loss 0.1267430099331721 epoch: 6227 Epoch 6227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6227With loss 0.1267430099331721 epoch: 6228 Epoch 6228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6228With loss 0.1267430099331721 epoch: 6229 Epoch 6229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6229With loss 0.1267430099331721 epoch: 6230 Epoch 6230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6230With loss 0.1267430099331721 epoch: 6231 Epoch 6231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6231With loss 0.1267430099331721 epoch: 6232 Epoch 6232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6232With loss 0.1267430099331721 epoch: 6233 Epoch 6233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6233With loss 0.1267430099331721 epoch: 6234 Epoch 6234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6234With loss 0.1267430099331721 epoch: 6235 Epoch 6235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6235With loss 0.1267430099331721 epoch: 6236 Epoch 6236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6236With loss 0.1267430099331721 epoch: 6237 Epoch 6237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6237With loss 0.1267430099331721 epoch: 6238 Epoch 6238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6238With loss 0.1267430099331721 epoch: 6239 Epoch 6239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6239With loss 0.1267430099331721 epoch: 6240 Epoch 6240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6240With loss 0.1267430099331721 epoch: 6241 Epoch 6241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6241With loss 0.1267430099331721 epoch: 6242 Epoch 6242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6242With loss 0.1267430099331721 epoch: 6243 Epoch 6243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6243With loss 0.1267430099331721 epoch: 6244 Epoch 6244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6244With loss 0.1267430099331721 epoch: 6245 Epoch 6245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6245With loss 0.1267430099331721 epoch: 6246 Epoch 6246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6246With loss 0.1267430099331721 epoch: 6247 Epoch 6247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6247With loss 0.1267430099331721 epoch: 6248 Epoch 6248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6248With loss 0.1267430099331721 epoch: 6249 Epoch 6249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6249With loss 0.1267430099331721 epoch: 6250 Epoch 6250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6250With loss 0.1267430099331721 epoch: 6251 Epoch 6251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6251With loss 0.1267430099331721 epoch: 6252 Epoch 6252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6252With loss 0.1267430099331721 epoch: 6253 Epoch 6253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6253With loss 0.1267430099331721 epoch: 6254 Epoch 6254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6254With loss 0.1267430099331721 epoch: 6255 Epoch 6255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6255With loss 0.1267430099331721 epoch: 6256 Epoch 6256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6256With loss 0.1267430099331721 epoch: 6257 Epoch 6257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6257With loss 0.1267430099331721 epoch: 6258 Epoch 6258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6258With loss 0.1267430099331721 epoch: 6259 Epoch 6259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6259With loss 0.1267430099331721 epoch: 6260 Epoch 6260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6260With loss 0.1267430099331721 epoch: 6261 Epoch 6261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6261With loss 0.1267430099331721 epoch: 6262 Epoch 6262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6262With loss 0.1267430099331721 epoch: 6263 Epoch 6263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6263With loss 0.1267430099331721 epoch: 6264 Epoch 6264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6264With loss 0.1267430099331721 epoch: 6265 Epoch 6265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6265With loss 0.1267430099331721 epoch: 6266 Epoch 6266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6266With loss 0.1267430099331721 epoch: 6267 Epoch 6267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6267With loss 0.1267430099331721 epoch: 6268 Epoch 6268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6268With loss 0.1267430099331721 epoch: 6269 Epoch 6269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6269With loss 0.1267430099331721 epoch: 6270 Epoch 6270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6270With loss 0.1267430099331721 epoch: 6271 Epoch 6271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6271With loss 0.1267430099331721 epoch: 6272 Epoch 6272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6272With loss 0.1267430099331721 epoch: 6273 Epoch 6273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6273With loss 0.1267430099331721 epoch: 6274 Epoch 6274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6274With loss 0.1267430099331721 epoch: 6275 Epoch 6275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6275With loss 0.1267430099331721 epoch: 6276 Epoch 6276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6276With loss 0.1267430099331721 epoch: 6277 Epoch 6277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6277With loss 0.1267430099331721 epoch: 6278 Epoch 6278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6278With loss 0.1267430099331721 epoch: 6279 Epoch 6279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6279With loss 0.1267430099331721 epoch: 6280 Epoch 6280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6280With loss 0.1267430099331721 epoch: 6281 Epoch 6281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6281With loss 0.1267430099331721 epoch: 6282 Epoch 6282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6282With loss 0.1267430099331721 epoch: 6283 Epoch 6283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6283With loss 0.1267430099331721 epoch: 6284 Epoch 6284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6284With loss 0.1267430099331721 epoch: 6285 Epoch 6285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6285With loss 0.1267430099331721 epoch: 6286 Epoch 6286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6286With loss 0.1267430099331721 epoch: 6287 Epoch 6287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6287With loss 0.1267430099331721 epoch: 6288 Epoch 6288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6288With loss 0.1267430099331721 epoch: 6289 Epoch 6289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6289With loss 0.1267430099331721 epoch: 6290 Epoch 6290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6290With loss 0.1267430099331721 epoch: 6291 Epoch 6291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6291With loss 0.1267430099331721 epoch: 6292 Epoch 6292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6292With loss 0.1267430099331721 epoch: 6293 Epoch 6293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6293With loss 0.1267430099331721 epoch: 6294 Epoch 6294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6294With loss 0.1267430099331721 epoch: 6295 Epoch 6295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6295With loss 0.1267430099331721 epoch: 6296 Epoch 6296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6296With loss 0.1267430099331721 epoch: 6297 Epoch 6297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6297With loss 0.1267430099331721 epoch: 6298 Epoch 6298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6298With loss 0.1267430099331721 epoch: 6299 Epoch 6299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6299With loss 0.1267430099331721 epoch: 6300 Epoch 6300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6300With loss 0.1267430099331721 epoch: 6301 Epoch 6301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6301With loss 0.1267430099331721 epoch: 6302 Epoch 6302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6302With loss 0.1267430099331721 epoch: 6303 Epoch 6303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6303With loss 0.1267430099331721 epoch: 6304 Epoch 6304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6304With loss 0.1267430099331721 epoch: 6305 Epoch 6305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6305With loss 0.1267430099331721 epoch: 6306 Epoch 6306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6306With loss 0.1267430099331721 epoch: 6307 Epoch 6307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6307With loss 0.1267430099331721 epoch: 6308 Epoch 6308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6308With loss 0.1267430099331721 epoch: 6309 Epoch 6309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6309With loss 0.1267430099331721 epoch: 6310 Epoch 6310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6310With loss 0.1267430099331721 epoch: 6311 Epoch 6311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6311With loss 0.1267430099331721 epoch: 6312 Epoch 6312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6312With loss 0.1267430099331721 epoch: 6313 Epoch 6313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6313With loss 0.1267430099331721 epoch: 6314 Epoch 6314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6314With loss 0.1267430099331721 epoch: 6315 Epoch 6315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6315With loss 0.1267430099331721 epoch: 6316 Epoch 6316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6316With loss 0.1267430099331721 epoch: 6317 Epoch 6317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6317With loss 0.1267430099331721 epoch: 6318 Epoch 6318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6318With loss 0.1267430099331721 epoch: 6319 Epoch 6319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6319With loss 0.1267430099331721 epoch: 6320 Epoch 6320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6320With loss 0.1267430099331721 epoch: 6321 Epoch 6321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6321With loss 0.1267430099331721 epoch: 6322 Epoch 6322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6322With loss 0.1267430099331721 epoch: 6323 Epoch 6323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6323With loss 0.1267430099331721 epoch: 6324 Epoch 6324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6324With loss 0.1267430099331721 epoch: 6325 Epoch 6325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6325With loss 0.1267430099331721 epoch: 6326 Epoch 6326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6326With loss 0.1267430099331721 epoch: 6327 Epoch 6327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6327With loss 0.1267430099331721 epoch: 6328 Epoch 6328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6328With loss 0.1267430099331721 epoch: 6329 Epoch 6329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6329With loss 0.1267430099331721 epoch: 6330 Epoch 6330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6330With loss 0.1267430099331721 epoch: 6331 Epoch 6331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6331With loss 0.1267430099331721 epoch: 6332 Epoch 6332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6332With loss 0.1267430099331721 epoch: 6333 Epoch 6333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6333With loss 0.1267430099331721 epoch: 6334 Epoch 6334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6334With loss 0.1267430099331721 epoch: 6335 Epoch 6335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6335With loss 0.1267430099331721 epoch: 6336 Epoch 6336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6336With loss 0.1267430099331721 epoch: 6337 Epoch 6337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6337With loss 0.1267430099331721 epoch: 6338 Epoch 6338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6338With loss 0.1267430099331721 epoch: 6339 Epoch 6339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6339With loss 0.1267430099331721 epoch: 6340 Epoch 6340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6340With loss 0.1267430099331721 epoch: 6341 Epoch 6341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6341With loss 0.1267430099331721 epoch: 6342 Epoch 6342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6342With loss 0.1267430099331721 epoch: 6343 Epoch 6343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6343With loss 0.1267430099331721 epoch: 6344 Epoch 6344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6344With loss 0.1267430099331721 epoch: 6345 Epoch 6345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6345With loss 0.1267430099331721 epoch: 6346 Epoch 6346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6346With loss 0.1267430099331721 epoch: 6347 Epoch 6347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6347With loss 0.1267430099331721 epoch: 6348 Epoch 6348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6348With loss 0.1267430099331721 epoch: 6349 Epoch 6349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6349With loss 0.1267430099331721 epoch: 6350 Epoch 6350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6350With loss 0.1267430099331721 epoch: 6351 Epoch 6351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6351With loss 0.1267430099331721 epoch: 6352 Epoch 6352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6352With loss 0.1267430099331721 epoch: 6353 Epoch 6353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6353With loss 0.1267430099331721 epoch: 6354 Epoch 6354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6354With loss 0.1267430099331721 epoch: 6355 Epoch 6355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6355With loss 0.1267430099331721 epoch: 6356 Epoch 6356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6356With loss 0.1267430099331721 epoch: 6357 Epoch 6357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6357With loss 0.1267430099331721 epoch: 6358 Epoch 6358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6358With loss 0.1267430099331721 epoch: 6359 Epoch 6359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6359With loss 0.1267430099331721 epoch: 6360 Epoch 6360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6360With loss 0.1267430099331721 epoch: 6361 Epoch 6361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6361With loss 0.1267430099331721 epoch: 6362 Epoch 6362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6362With loss 0.1267430099331721 epoch: 6363 Epoch 6363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6363With loss 0.1267430099331721 epoch: 6364 Epoch 6364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6364With loss 0.1267430099331721 epoch: 6365 Epoch 6365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6365With loss 0.1267430099331721 epoch: 6366 Epoch 6366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6366With loss 0.1267430099331721 epoch: 6367 Epoch 6367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6367With loss 0.1267430099331721 epoch: 6368 Epoch 6368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6368With loss 0.1267430099331721 epoch: 6369 Epoch 6369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6369With loss 0.1267430099331721 epoch: 6370 Epoch 6370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6370With loss 0.1267430099331721 epoch: 6371 Epoch 6371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6371With loss 0.1267430099331721 epoch: 6372 Epoch 6372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6372With loss 0.1267430099331721 epoch: 6373 Epoch 6373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6373With loss 0.1267430099331721 epoch: 6374 Epoch 6374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6374With loss 0.1267430099331721 epoch: 6375 Epoch 6375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6375With loss 0.1267430099331721 epoch: 6376 Epoch 6376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6376With loss 0.1267430099331721 epoch: 6377 Epoch 6377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6377With loss 0.1267430099331721 epoch: 6378 Epoch 6378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6378With loss 0.1267430099331721 epoch: 6379 Epoch 6379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6379With loss 0.1267430099331721 epoch: 6380 Epoch 6380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6380With loss 0.1267430099331721 epoch: 6381 Epoch 6381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6381With loss 0.1267430099331721 epoch: 6382 Epoch 6382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6382With loss 0.1267430099331721 epoch: 6383 Epoch 6383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6383With loss 0.1267430099331721 epoch: 6384 Epoch 6384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6384With loss 0.1267430099331721 epoch: 6385 Epoch 6385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6385With loss 0.1267430099331721 epoch: 6386 Epoch 6386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6386With loss 0.1267430099331721 epoch: 6387 Epoch 6387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6387With loss 0.1267430099331721 epoch: 6388 Epoch 6388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6388With loss 0.1267430099331721 epoch: 6389 Epoch 6389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6389With loss 0.1267430099331721 epoch: 6390 Epoch 6390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6390With loss 0.1267430099331721 epoch: 6391 Epoch 6391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6391With loss 0.1267430099331721 epoch: 6392 Epoch 6392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6392With loss 0.1267430099331721 epoch: 6393 Epoch 6393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6393With loss 0.1267430099331721 epoch: 6394 Epoch 6394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6394With loss 0.1267430099331721 epoch: 6395 Epoch 6395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6395With loss 0.1267430099331721 epoch: 6396 Epoch 6396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6396With loss 0.1267430099331721 epoch: 6397 Epoch 6397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6397With loss 0.1267430099331721 epoch: 6398 Epoch 6398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6398With loss 0.1267430099331721 epoch: 6399 Epoch 6399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6399With loss 0.1267430099331721 epoch: 6400 Epoch 6400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6400With loss 0.1267430099331721 epoch: 6401 Epoch 6401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6401With loss 0.1267430099331721 epoch: 6402 Epoch 6402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6402With loss 0.1267430099331721 epoch: 6403 Epoch 6403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6403With loss 0.1267430099331721 epoch: 6404 Epoch 6404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6404With loss 0.1267430099331721 epoch: 6405 Epoch 6405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6405With loss 0.1267430099331721 epoch: 6406 Epoch 6406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6406With loss 0.1267430099331721 epoch: 6407 Epoch 6407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6407With loss 0.1267430099331721 epoch: 6408 Epoch 6408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6408With loss 0.1267430099331721 epoch: 6409 Epoch 6409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6409With loss 0.1267430099331721 epoch: 6410 Epoch 6410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6410With loss 0.1267430099331721 epoch: 6411 Epoch 6411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6411With loss 0.1267430099331721 epoch: 6412 Epoch 6412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6412With loss 0.1267430099331721 epoch: 6413 Epoch 6413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6413With loss 0.1267430099331721 epoch: 6414 Epoch 6414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6414With loss 0.1267430099331721 epoch: 6415 Epoch 6415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6415With loss 0.1267430099331721 epoch: 6416 Epoch 6416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6416With loss 0.1267430099331721 epoch: 6417 Epoch 6417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6417With loss 0.1267430099331721 epoch: 6418 Epoch 6418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6418With loss 0.1267430099331721 epoch: 6419 Epoch 6419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6419With loss 0.1267430099331721 epoch: 6420 Epoch 6420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6420With loss 0.1267430099331721 epoch: 6421 Epoch 6421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6421With loss 0.1267430099331721 epoch: 6422 Epoch 6422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6422With loss 0.1267430099331721 epoch: 6423 Epoch 6423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6423With loss 0.1267430099331721 epoch: 6424 Epoch 6424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6424With loss 0.1267430099331721 epoch: 6425 Epoch 6425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6425With loss 0.1267430099331721 epoch: 6426 Epoch 6426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6426With loss 0.1267430099331721 epoch: 6427 Epoch 6427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6427With loss 0.1267430099331721 epoch: 6428 Epoch 6428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6428With loss 0.1267430099331721 epoch: 6429 Epoch 6429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6429With loss 0.1267430099331721 epoch: 6430 Epoch 6430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6430With loss 0.1267430099331721 epoch: 6431 Epoch 6431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6431With loss 0.1267430099331721 epoch: 6432 Epoch 6432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6432With loss 0.1267430099331721 epoch: 6433 Epoch 6433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6433With loss 0.1267430099331721 epoch: 6434 Epoch 6434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6434With loss 0.1267430099331721 epoch: 6435 Epoch 6435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6435With loss 0.1267430099331721 epoch: 6436 Epoch 6436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6436With loss 0.1267430099331721 epoch: 6437 Epoch 6437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6437With loss 0.1267430099331721 epoch: 6438 Epoch 6438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6438With loss 0.1267430099331721 epoch: 6439 Epoch 6439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6439With loss 0.1267430099331721 epoch: 6440 Epoch 6440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6440With loss 0.1267430099331721 epoch: 6441 Epoch 6441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6441With loss 0.1267430099331721 epoch: 6442 Epoch 6442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6442With loss 0.1267430099331721 epoch: 6443 Epoch 6443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6443With loss 0.1267430099331721 epoch: 6444 Epoch 6444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6444With loss 0.1267430099331721 epoch: 6445 Epoch 6445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6445With loss 0.1267430099331721 epoch: 6446 Epoch 6446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6446With loss 0.1267430099331721 epoch: 6447 Epoch 6447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6447With loss 0.1267430099331721 epoch: 6448 Epoch 6448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6448With loss 0.1267430099331721 epoch: 6449 Epoch 6449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6449With loss 0.1267430099331721 epoch: 6450 Epoch 6450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6450With loss 0.1267430099331721 epoch: 6451 Epoch 6451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6451With loss 0.1267430099331721 epoch: 6452 Epoch 6452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6452With loss 0.1267430099331721 epoch: 6453 Epoch 6453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6453With loss 0.1267430099331721 epoch: 6454 Epoch 6454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6454With loss 0.1267430099331721 epoch: 6455 Epoch 6455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6455With loss 0.1267430099331721 epoch: 6456 Epoch 6456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6456With loss 0.1267430099331721 epoch: 6457 Epoch 6457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6457With loss 0.1267430099331721 epoch: 6458 Epoch 6458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6458With loss 0.1267430099331721 epoch: 6459 Epoch 6459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6459With loss 0.1267430099331721 epoch: 6460 Epoch 6460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6460With loss 0.1267430099331721 epoch: 6461 Epoch 6461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6461With loss 0.1267430099331721 epoch: 6462 Epoch 6462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6462With loss 0.1267430099331721 epoch: 6463 Epoch 6463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6463With loss 0.1267430099331721 epoch: 6464 Epoch 6464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6464With loss 0.1267430099331721 epoch: 6465 Epoch 6465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6465With loss 0.1267430099331721 epoch: 6466 Epoch 6466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6466With loss 0.1267430099331721 epoch: 6467 Epoch 6467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6467With loss 0.1267430099331721 epoch: 6468 Epoch 6468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6468With loss 0.1267430099331721 epoch: 6469 Epoch 6469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6469With loss 0.1267430099331721 epoch: 6470 Epoch 6470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6470With loss 0.1267430099331721 epoch: 6471 Epoch 6471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6471With loss 0.1267430099331721 epoch: 6472 Epoch 6472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6472With loss 0.1267430099331721 epoch: 6473 Epoch 6473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6473With loss 0.1267430099331721 epoch: 6474 Epoch 6474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6474With loss 0.1267430099331721 epoch: 6475 Epoch 6475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6475With loss 0.1267430099331721 epoch: 6476 Epoch 6476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6476With loss 0.1267430099331721 epoch: 6477 Epoch 6477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6477With loss 0.1267430099331721 epoch: 6478 Epoch 6478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6478With loss 0.1267430099331721 epoch: 6479 Epoch 6479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6479With loss 0.1267430099331721 epoch: 6480 Epoch 6480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6480With loss 0.1267430099331721 epoch: 6481 Epoch 6481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6481With loss 0.1267430099331721 epoch: 6482 Epoch 6482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6482With loss 0.1267430099331721 epoch: 6483 Epoch 6483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6483With loss 0.1267430099331721 epoch: 6484 Epoch 6484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6484With loss 0.1267430099331721 epoch: 6485 Epoch 6485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6485With loss 0.1267430099331721 epoch: 6486 Epoch 6486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6486With loss 0.1267430099331721 epoch: 6487 Epoch 6487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6487With loss 0.1267430099331721 epoch: 6488 Epoch 6488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6488With loss 0.1267430099331721 epoch: 6489 Epoch 6489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6489With loss 0.1267430099331721 epoch: 6490 Epoch 6490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6490With loss 0.1267430099331721 epoch: 6491 Epoch 6491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6491With loss 0.1267430099331721 epoch: 6492 Epoch 6492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6492With loss 0.1267430099331721 epoch: 6493 Epoch 6493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6493With loss 0.1267430099331721 epoch: 6494 Epoch 6494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6494With loss 0.1267430099331721 epoch: 6495 Epoch 6495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6495With loss 0.1267430099331721 epoch: 6496 Epoch 6496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6496With loss 0.1267430099331721 epoch: 6497 Epoch 6497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6497With loss 0.1267430099331721 epoch: 6498 Epoch 6498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6498With loss 0.1267430099331721 epoch: 6499 Epoch 6499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6499With loss 0.1267430099331721 epoch: 6500 Epoch 6500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6500With loss 0.1267430099331721 epoch: 6501 Epoch 6501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6501With loss 0.1267430099331721 epoch: 6502 Epoch 6502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6502With loss 0.1267430099331721 epoch: 6503 Epoch 6503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6503With loss 0.1267430099331721 epoch: 6504 Epoch 6504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6504With loss 0.1267430099331721 epoch: 6505 Epoch 6505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6505With loss 0.1267430099331721 epoch: 6506 Epoch 6506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6506With loss 0.1267430099331721 epoch: 6507 Epoch 6507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6507With loss 0.1267430099331721 epoch: 6508 Epoch 6508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6508With loss 0.1267430099331721 epoch: 6509 Epoch 6509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6509With loss 0.1267430099331721 epoch: 6510 Epoch 6510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6510With loss 0.1267430099331721 epoch: 6511 Epoch 6511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6511With loss 0.1267430099331721 epoch: 6512 Epoch 6512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6512With loss 0.1267430099331721 epoch: 6513 Epoch 6513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6513With loss 0.1267430099331721 epoch: 6514 Epoch 6514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6514With loss 0.1267430099331721 epoch: 6515 Epoch 6515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6515With loss 0.1267430099331721 epoch: 6516 Epoch 6516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6516With loss 0.1267430099331721 epoch: 6517 Epoch 6517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6517With loss 0.1267430099331721 epoch: 6518 Epoch 6518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6518With loss 0.1267430099331721 epoch: 6519 Epoch 6519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6519With loss 0.1267430099331721 epoch: 6520 Epoch 6520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6520With loss 0.1267430099331721 epoch: 6521 Epoch 6521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6521With loss 0.1267430099331721 epoch: 6522 Epoch 6522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6522With loss 0.1267430099331721 epoch: 6523 Epoch 6523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6523With loss 0.1267430099331721 epoch: 6524 Epoch 6524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6524With loss 0.1267430099331721 epoch: 6525 Epoch 6525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6525With loss 0.1267430099331721 epoch: 6526 Epoch 6526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6526With loss 0.1267430099331721 epoch: 6527 Epoch 6527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6527With loss 0.1267430099331721 epoch: 6528 Epoch 6528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6528With loss 0.1267430099331721 epoch: 6529 Epoch 6529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6529With loss 0.1267430099331721 epoch: 6530 Epoch 6530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6530With loss 0.1267430099331721 epoch: 6531 Epoch 6531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6531With loss 0.1267430099331721 epoch: 6532 Epoch 6532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6532With loss 0.1267430099331721 epoch: 6533 Epoch 6533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6533With loss 0.1267430099331721 epoch: 6534 Epoch 6534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6534With loss 0.1267430099331721 epoch: 6535 Epoch 6535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6535With loss 0.1267430099331721 epoch: 6536 Epoch 6536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6536With loss 0.1267430099331721 epoch: 6537 Epoch 6537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6537With loss 0.1267430099331721 epoch: 6538 Epoch 6538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6538With loss 0.1267430099331721 epoch: 6539 Epoch 6539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6539With loss 0.1267430099331721 epoch: 6540 Epoch 6540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6540With loss 0.1267430099331721 epoch: 6541 Epoch 6541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6541With loss 0.1267430099331721 epoch: 6542 Epoch 6542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6542With loss 0.1267430099331721 epoch: 6543 Epoch 6543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6543With loss 0.1267430099331721 epoch: 6544 Epoch 6544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6544With loss 0.1267430099331721 epoch: 6545 Epoch 6545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6545With loss 0.1267430099331721 epoch: 6546 Epoch 6546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6546With loss 0.1267430099331721 epoch: 6547 Epoch 6547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6547With loss 0.1267430099331721 epoch: 6548 Epoch 6548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6548With loss 0.1267430099331721 epoch: 6549 Epoch 6549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6549With loss 0.1267430099331721 epoch: 6550 Epoch 6550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6550With loss 0.1267430099331721 epoch: 6551 Epoch 6551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6551With loss 0.1267430099331721 epoch: 6552 Epoch 6552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6552With loss 0.1267430099331721 epoch: 6553 Epoch 6553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6553With loss 0.1267430099331721 epoch: 6554 Epoch 6554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6554With loss 0.1267430099331721 epoch: 6555 Epoch 6555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6555With loss 0.1267430099331721 epoch: 6556 Epoch 6556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6556With loss 0.1267430099331721 epoch: 6557 Epoch 6557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6557With loss 0.1267430099331721 epoch: 6558 Epoch 6558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6558With loss 0.1267430099331721 epoch: 6559 Epoch 6559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6559With loss 0.1267430099331721 epoch: 6560 Epoch 6560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6560With loss 0.1267430099331721 epoch: 6561 Epoch 6561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6561With loss 0.1267430099331721 epoch: 6562 Epoch 6562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6562With loss 0.1267430099331721 epoch: 6563 Epoch 6563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6563With loss 0.1267430099331721 epoch: 6564 Epoch 6564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6564With loss 0.1267430099331721 epoch: 6565 Epoch 6565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6565With loss 0.1267430099331721 epoch: 6566 Epoch 6566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6566With loss 0.1267430099331721 epoch: 6567 Epoch 6567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6567With loss 0.1267430099331721 epoch: 6568 Epoch 6568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6568With loss 0.1267430099331721 epoch: 6569 Epoch 6569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6569With loss 0.1267430099331721 epoch: 6570 Epoch 6570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6570With loss 0.1267430099331721 epoch: 6571 Epoch 6571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6571With loss 0.1267430099331721 epoch: 6572 Epoch 6572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6572With loss 0.1267430099331721 epoch: 6573 Epoch 6573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6573With loss 0.1267430099331721 epoch: 6574 Epoch 6574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6574With loss 0.1267430099331721 epoch: 6575 Epoch 6575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6575With loss 0.1267430099331721 epoch: 6576 Epoch 6576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6576With loss 0.1267430099331721 epoch: 6577 Epoch 6577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6577With loss 0.1267430099331721 epoch: 6578 Epoch 6578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6578With loss 0.1267430099331721 epoch: 6579 Epoch 6579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6579With loss 0.1267430099331721 epoch: 6580 Epoch 6580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6580With loss 0.1267430099331721 epoch: 6581 Epoch 6581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6581With loss 0.1267430099331721 epoch: 6582 Epoch 6582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6582With loss 0.1267430099331721 epoch: 6583 Epoch 6583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6583With loss 0.1267430099331721 epoch: 6584 Epoch 6584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6584With loss 0.1267430099331721 epoch: 6585 Epoch 6585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6585With loss 0.1267430099331721 epoch: 6586 Epoch 6586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6586With loss 0.1267430099331721 epoch: 6587 Epoch 6587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6587With loss 0.1267430099331721 epoch: 6588 Epoch 6588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6588With loss 0.1267430099331721 epoch: 6589 Epoch 6589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6589With loss 0.1267430099331721 epoch: 6590 Epoch 6590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6590With loss 0.1267430099331721 epoch: 6591 Epoch 6591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6591With loss 0.1267430099331721 epoch: 6592 Epoch 6592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6592With loss 0.1267430099331721 epoch: 6593 Epoch 6593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6593With loss 0.1267430099331721 epoch: 6594 Epoch 6594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6594With loss 0.1267430099331721 epoch: 6595 Epoch 6595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6595With loss 0.1267430099331721 epoch: 6596 Epoch 6596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6596With loss 0.1267430099331721 epoch: 6597 Epoch 6597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6597With loss 0.1267430099331721 epoch: 6598 Epoch 6598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6598With loss 0.1267430099331721 epoch: 6599 Epoch 6599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6599With loss 0.1267430099331721 epoch: 6600 Epoch 6600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6600With loss 0.1267430099331721 epoch: 6601 Epoch 6601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6601With loss 0.1267430099331721 epoch: 6602 Epoch 6602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6602With loss 0.1267430099331721 epoch: 6603 Epoch 6603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6603With loss 0.1267430099331721 epoch: 6604 Epoch 6604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6604With loss 0.1267430099331721 epoch: 6605 Epoch 6605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6605With loss 0.1267430099331721 epoch: 6606 Epoch 6606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6606With loss 0.1267430099331721 epoch: 6607 Epoch 6607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6607With loss 0.1267430099331721 epoch: 6608 Epoch 6608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6608With loss 0.1267430099331721 epoch: 6609 Epoch 6609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6609With loss 0.1267430099331721 epoch: 6610 Epoch 6610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6610With loss 0.1267430099331721 epoch: 6611 Epoch 6611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6611With loss 0.1267430099331721 epoch: 6612 Epoch 6612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6612With loss 0.1267430099331721 epoch: 6613 Epoch 6613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6613With loss 0.1267430099331721 epoch: 6614 Epoch 6614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6614With loss 0.1267430099331721 epoch: 6615 Epoch 6615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6615With loss 0.1267430099331721 epoch: 6616 Epoch 6616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6616With loss 0.1267430099331721 epoch: 6617 Epoch 6617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6617With loss 0.1267430099331721 epoch: 6618 Epoch 6618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6618With loss 0.1267430099331721 epoch: 6619 Epoch 6619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6619With loss 0.1267430099331721 epoch: 6620 Epoch 6620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6620With loss 0.1267430099331721 epoch: 6621 Epoch 6621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6621With loss 0.1267430099331721 epoch: 6622 Epoch 6622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6622With loss 0.1267430099331721 epoch: 6623 Epoch 6623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6623With loss 0.1267430099331721 epoch: 6624 Epoch 6624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6624With loss 0.1267430099331721 epoch: 6625 Epoch 6625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6625With loss 0.1267430099331721 epoch: 6626 Epoch 6626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6626With loss 0.1267430099331721 epoch: 6627 Epoch 6627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6627With loss 0.1267430099331721 epoch: 6628 Epoch 6628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6628With loss 0.1267430099331721 epoch: 6629 Epoch 6629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6629With loss 0.1267430099331721 epoch: 6630 Epoch 6630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6630With loss 0.1267430099331721 epoch: 6631 Epoch 6631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6631With loss 0.1267430099331721 epoch: 6632 Epoch 6632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6632With loss 0.1267430099331721 epoch: 6633 Epoch 6633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6633With loss 0.1267430099331721 epoch: 6634 Epoch 6634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6634With loss 0.1267430099331721 epoch: 6635 Epoch 6635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6635With loss 0.1267430099331721 epoch: 6636 Epoch 6636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6636With loss 0.1267430099331721 epoch: 6637 Epoch 6637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6637With loss 0.1267430099331721 epoch: 6638 Epoch 6638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6638With loss 0.1267430099331721 epoch: 6639 Epoch 6639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6639With loss 0.1267430099331721 epoch: 6640 Epoch 6640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6640With loss 0.1267430099331721 epoch: 6641 Epoch 6641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6641With loss 0.1267430099331721 epoch: 6642 Epoch 6642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6642With loss 0.1267430099331721 epoch: 6643 Epoch 6643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6643With loss 0.1267430099331721 epoch: 6644 Epoch 6644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6644With loss 0.1267430099331721 epoch: 6645 Epoch 6645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6645With loss 0.1267430099331721 epoch: 6646 Epoch 6646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6646With loss 0.1267430099331721 epoch: 6647 Epoch 6647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6647With loss 0.1267430099331721 epoch: 6648 Epoch 6648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6648With loss 0.1267430099331721 epoch: 6649 Epoch 6649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6649With loss 0.1267430099331721 epoch: 6650 Epoch 6650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6650With loss 0.1267430099331721 epoch: 6651 Epoch 6651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6651With loss 0.1267430099331721 epoch: 6652 Epoch 6652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6652With loss 0.1267430099331721 epoch: 6653 Epoch 6653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6653With loss 0.1267430099331721 epoch: 6654 Epoch 6654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6654With loss 0.1267430099331721 epoch: 6655 Epoch 6655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6655With loss 0.1267430099331721 epoch: 6656 Epoch 6656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6656With loss 0.1267430099331721 epoch: 6657 Epoch 6657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6657With loss 0.1267430099331721 epoch: 6658 Epoch 6658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6658With loss 0.1267430099331721 epoch: 6659 Epoch 6659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6659With loss 0.1267430099331721 epoch: 6660 Epoch 6660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6660With loss 0.1267430099331721 epoch: 6661 Epoch 6661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6661With loss 0.1267430099331721 epoch: 6662 Epoch 6662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6662With loss 0.1267430099331721 epoch: 6663 Epoch 6663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6663With loss 0.1267430099331721 epoch: 6664 Epoch 6664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6664With loss 0.1267430099331721 epoch: 6665 Epoch 6665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6665With loss 0.1267430099331721 epoch: 6666 Epoch 6666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6666With loss 0.1267430099331721 epoch: 6667 Epoch 6667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6667With loss 0.1267430099331721 epoch: 6668 Epoch 6668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6668With loss 0.1267430099331721 epoch: 6669 Epoch 6669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6669With loss 0.1267430099331721 epoch: 6670 Epoch 6670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6670With loss 0.1267430099331721 epoch: 6671 Epoch 6671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6671With loss 0.1267430099331721 epoch: 6672 Epoch 6672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6672With loss 0.1267430099331721 epoch: 6673 Epoch 6673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6673With loss 0.1267430099331721 epoch: 6674 Epoch 6674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6674With loss 0.1267430099331721 epoch: 6675 Epoch 6675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6675With loss 0.1267430099331721 epoch: 6676 Epoch 6676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6676With loss 0.1267430099331721 epoch: 6677 Epoch 6677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6677With loss 0.1267430099331721 epoch: 6678 Epoch 6678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6678With loss 0.1267430099331721 epoch: 6679 Epoch 6679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6679With loss 0.1267430099331721 epoch: 6680 Epoch 6680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6680With loss 0.1267430099331721 epoch: 6681 Epoch 6681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6681With loss 0.1267430099331721 epoch: 6682 Epoch 6682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6682With loss 0.1267430099331721 epoch: 6683 Epoch 6683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6683With loss 0.1267430099331721 epoch: 6684 Epoch 6684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6684With loss 0.1267430099331721 epoch: 6685 Epoch 6685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6685With loss 0.1267430099331721 epoch: 6686 Epoch 6686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6686With loss 0.1267430099331721 epoch: 6687 Epoch 6687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6687With loss 0.1267430099331721 epoch: 6688 Epoch 6688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6688With loss 0.1267430099331721 epoch: 6689 Epoch 6689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6689With loss 0.1267430099331721 epoch: 6690 Epoch 6690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6690With loss 0.1267430099331721 epoch: 6691 Epoch 6691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6691With loss 0.1267430099331721 epoch: 6692 Epoch 6692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6692With loss 0.1267430099331721 epoch: 6693 Epoch 6693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6693With loss 0.1267430099331721 epoch: 6694 Epoch 6694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6694With loss 0.1267430099331721 epoch: 6695 Epoch 6695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6695With loss 0.1267430099331721 epoch: 6696 Epoch 6696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6696With loss 0.1267430099331721 epoch: 6697 Epoch 6697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6697With loss 0.1267430099331721 epoch: 6698 Epoch 6698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6698With loss 0.1267430099331721 epoch: 6699 Epoch 6699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6699With loss 0.1267430099331721 epoch: 6700 Epoch 6700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6700With loss 0.1267430099331721 epoch: 6701 Epoch 6701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6701With loss 0.1267430099331721 epoch: 6702 Epoch 6702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6702With loss 0.1267430099331721 epoch: 6703 Epoch 6703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6703With loss 0.1267430099331721 epoch: 6704 Epoch 6704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6704With loss 0.1267430099331721 epoch: 6705 Epoch 6705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6705With loss 0.1267430099331721 epoch: 6706 Epoch 6706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6706With loss 0.1267430099331721 epoch: 6707 Epoch 6707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6707With loss 0.1267430099331721 epoch: 6708 Epoch 6708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6708With loss 0.1267430099331721 epoch: 6709 Epoch 6709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6709With loss 0.1267430099331721 epoch: 6710 Epoch 6710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6710With loss 0.1267430099331721 epoch: 6711 Epoch 6711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6711With loss 0.1267430099331721 epoch: 6712 Epoch 6712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6712With loss 0.1267430099331721 epoch: 6713 Epoch 6713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6713With loss 0.1267430099331721 epoch: 6714 Epoch 6714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6714With loss 0.1267430099331721 epoch: 6715 Epoch 6715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6715With loss 0.1267430099331721 epoch: 6716 Epoch 6716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6716With loss 0.1267430099331721 epoch: 6717 Epoch 6717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6717With loss 0.1267430099331721 epoch: 6718 Epoch 6718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6718With loss 0.1267430099331721 epoch: 6719 Epoch 6719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6719With loss 0.1267430099331721 epoch: 6720 Epoch 6720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6720With loss 0.1267430099331721 epoch: 6721 Epoch 6721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6721With loss 0.1267430099331721 epoch: 6722 Epoch 6722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6722With loss 0.1267430099331721 epoch: 6723 Epoch 6723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6723With loss 0.1267430099331721 epoch: 6724 Epoch 6724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6724With loss 0.1267430099331721 epoch: 6725 Epoch 6725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6725With loss 0.1267430099331721 epoch: 6726 Epoch 6726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6726With loss 0.1267430099331721 epoch: 6727 Epoch 6727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6727With loss 0.1267430099331721 epoch: 6728 Epoch 6728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6728With loss 0.1267430099331721 epoch: 6729 Epoch 6729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6729With loss 0.1267430099331721 epoch: 6730 Epoch 6730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6730With loss 0.1267430099331721 epoch: 6731 Epoch 6731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6731With loss 0.1267430099331721 epoch: 6732 Epoch 6732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6732With loss 0.1267430099331721 epoch: 6733 Epoch 6733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6733With loss 0.1267430099331721 epoch: 6734 Epoch 6734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6734With loss 0.1267430099331721 epoch: 6735 Epoch 6735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6735With loss 0.1267430099331721 epoch: 6736 Epoch 6736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6736With loss 0.1267430099331721 epoch: 6737 Epoch 6737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6737With loss 0.1267430099331721 epoch: 6738 Epoch 6738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6738With loss 0.1267430099331721 epoch: 6739 Epoch 6739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6739With loss 0.1267430099331721 epoch: 6740 Epoch 6740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6740With loss 0.1267430099331721 epoch: 6741 Epoch 6741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6741With loss 0.1267430099331721 epoch: 6742 Epoch 6742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6742With loss 0.1267430099331721 epoch: 6743 Epoch 6743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6743With loss 0.1267430099331721 epoch: 6744 Epoch 6744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6744With loss 0.1267430099331721 epoch: 6745 Epoch 6745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6745With loss 0.1267430099331721 epoch: 6746 Epoch 6746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6746With loss 0.1267430099331721 epoch: 6747 Epoch 6747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6747With loss 0.1267430099331721 epoch: 6748 Epoch 6748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6748With loss 0.1267430099331721 epoch: 6749 Epoch 6749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6749With loss 0.1267430099331721 epoch: 6750 Epoch 6750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6750With loss 0.1267430099331721 epoch: 6751 Epoch 6751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6751With loss 0.1267430099331721 epoch: 6752 Epoch 6752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6752With loss 0.1267430099331721 epoch: 6753 Epoch 6753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6753With loss 0.1267430099331721 epoch: 6754 Epoch 6754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6754With loss 0.1267430099331721 epoch: 6755 Epoch 6755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6755With loss 0.1267430099331721 epoch: 6756 Epoch 6756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6756With loss 0.1267430099331721 epoch: 6757 Epoch 6757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6757With loss 0.1267430099331721 epoch: 6758 Epoch 6758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6758With loss 0.1267430099331721 epoch: 6759 Epoch 6759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6759With loss 0.1267430099331721 epoch: 6760 Epoch 6760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6760With loss 0.1267430099331721 epoch: 6761 Epoch 6761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6761With loss 0.1267430099331721 epoch: 6762 Epoch 6762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6762With loss 0.1267430099331721 epoch: 6763 Epoch 6763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6763With loss 0.1267430099331721 epoch: 6764 Epoch 6764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6764With loss 0.1267430099331721 epoch: 6765 Epoch 6765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6765With loss 0.1267430099331721 epoch: 6766 Epoch 6766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6766With loss 0.1267430099331721 epoch: 6767 Epoch 6767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6767With loss 0.1267430099331721 epoch: 6768 Epoch 6768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6768With loss 0.1267430099331721 epoch: 6769 Epoch 6769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6769With loss 0.1267430099331721 epoch: 6770 Epoch 6770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6770With loss 0.1267430099331721 epoch: 6771 Epoch 6771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6771With loss 0.1267430099331721 epoch: 6772 Epoch 6772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6772With loss 0.1267430099331721 epoch: 6773 Epoch 6773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6773With loss 0.1267430099331721 epoch: 6774 Epoch 6774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6774With loss 0.1267430099331721 epoch: 6775 Epoch 6775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6775With loss 0.1267430099331721 epoch: 6776 Epoch 6776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6776With loss 0.1267430099331721 epoch: 6777 Epoch 6777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6777With loss 0.1267430099331721 epoch: 6778 Epoch 6778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6778With loss 0.1267430099331721 epoch: 6779 Epoch 6779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6779With loss 0.1267430099331721 epoch: 6780 Epoch 6780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6780With loss 0.1267430099331721 epoch: 6781 Epoch 6781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6781With loss 0.1267430099331721 epoch: 6782 Epoch 6782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6782With loss 0.1267430099331721 epoch: 6783 Epoch 6783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6783With loss 0.1267430099331721 epoch: 6784 Epoch 6784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6784With loss 0.1267430099331721 epoch: 6785 Epoch 6785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6785With loss 0.1267430099331721 epoch: 6786 Epoch 6786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6786With loss 0.1267430099331721 epoch: 6787 Epoch 6787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6787With loss 0.1267430099331721 epoch: 6788 Epoch 6788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6788With loss 0.1267430099331721 epoch: 6789 Epoch 6789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6789With loss 0.1267430099331721 epoch: 6790 Epoch 6790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6790With loss 0.1267430099331721 epoch: 6791 Epoch 6791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6791With loss 0.1267430099331721 epoch: 6792 Epoch 6792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6792With loss 0.1267430099331721 epoch: 6793 Epoch 6793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6793With loss 0.1267430099331721 epoch: 6794 Epoch 6794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6794With loss 0.1267430099331721 epoch: 6795 Epoch 6795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6795With loss 0.1267430099331721 epoch: 6796 Epoch 6796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6796With loss 0.1267430099331721 epoch: 6797 Epoch 6797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6797With loss 0.1267430099331721 epoch: 6798 Epoch 6798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6798With loss 0.1267430099331721 epoch: 6799 Epoch 6799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6799With loss 0.1267430099331721 epoch: 6800 Epoch 6800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6800With loss 0.1267430099331721 epoch: 6801 Epoch 6801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6801With loss 0.1267430099331721 epoch: 6802 Epoch 6802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6802With loss 0.1267430099331721 epoch: 6803 Epoch 6803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6803With loss 0.1267430099331721 epoch: 6804 Epoch 6804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6804With loss 0.1267430099331721 epoch: 6805 Epoch 6805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6805With loss 0.1267430099331721 epoch: 6806 Epoch 6806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6806With loss 0.1267430099331721 epoch: 6807 Epoch 6807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6807With loss 0.1267430099331721 epoch: 6808 Epoch 6808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6808With loss 0.1267430099331721 epoch: 6809 Epoch 6809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6809With loss 0.1267430099331721 epoch: 6810 Epoch 6810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6810With loss 0.1267430099331721 epoch: 6811 Epoch 6811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6811With loss 0.1267430099331721 epoch: 6812 Epoch 6812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6812With loss 0.1267430099331721 epoch: 6813 Epoch 6813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6813With loss 0.1267430099331721 epoch: 6814 Epoch 6814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6814With loss 0.1267430099331721 epoch: 6815 Epoch 6815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6815With loss 0.1267430099331721 epoch: 6816 Epoch 6816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6816With loss 0.1267430099331721 epoch: 6817 Epoch 6817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6817With loss 0.1267430099331721 epoch: 6818 Epoch 6818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6818With loss 0.1267430099331721 epoch: 6819 Epoch 6819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6819With loss 0.1267430099331721 epoch: 6820 Epoch 6820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6820With loss 0.1267430099331721 epoch: 6821 Epoch 6821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6821With loss 0.1267430099331721 epoch: 6822 Epoch 6822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6822With loss 0.1267430099331721 epoch: 6823 Epoch 6823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6823With loss 0.1267430099331721 epoch: 6824 Epoch 6824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6824With loss 0.1267430099331721 epoch: 6825 Epoch 6825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6825With loss 0.1267430099331721 epoch: 6826 Epoch 6826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6826With loss 0.1267430099331721 epoch: 6827 Epoch 6827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6827With loss 0.1267430099331721 epoch: 6828 Epoch 6828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6828With loss 0.1267430099331721 epoch: 6829 Epoch 6829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6829With loss 0.1267430099331721 epoch: 6830 Epoch 6830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6830With loss 0.1267430099331721 epoch: 6831 Epoch 6831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6831With loss 0.1267430099331721 epoch: 6832 Epoch 6832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6832With loss 0.1267430099331721 epoch: 6833 Epoch 6833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6833With loss 0.1267430099331721 epoch: 6834 Epoch 6834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6834With loss 0.1267430099331721 epoch: 6835 Epoch 6835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6835With loss 0.1267430099331721 epoch: 6836 Epoch 6836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6836With loss 0.1267430099331721 epoch: 6837 Epoch 6837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6837With loss 0.1267430099331721 epoch: 6838 Epoch 6838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6838With loss 0.1267430099331721 epoch: 6839 Epoch 6839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6839With loss 0.1267430099331721 epoch: 6840 Epoch 6840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6840With loss 0.1267430099331721 epoch: 6841 Epoch 6841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6841With loss 0.1267430099331721 epoch: 6842 Epoch 6842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6842With loss 0.1267430099331721 epoch: 6843 Epoch 6843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6843With loss 0.1267430099331721 epoch: 6844 Epoch 6844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6844With loss 0.1267430099331721 epoch: 6845 Epoch 6845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6845With loss 0.1267430099331721 epoch: 6846 Epoch 6846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6846With loss 0.1267430099331721 epoch: 6847 Epoch 6847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6847With loss 0.1267430099331721 epoch: 6848 Epoch 6848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6848With loss 0.1267430099331721 epoch: 6849 Epoch 6849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6849With loss 0.1267430099331721 epoch: 6850 Epoch 6850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6850With loss 0.1267430099331721 epoch: 6851 Epoch 6851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6851With loss 0.1267430099331721 epoch: 6852 Epoch 6852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6852With loss 0.1267430099331721 epoch: 6853 Epoch 6853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6853With loss 0.1267430099331721 epoch: 6854 Epoch 6854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6854With loss 0.1267430099331721 epoch: 6855 Epoch 6855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6855With loss 0.1267430099331721 epoch: 6856 Epoch 6856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6856With loss 0.1267430099331721 epoch: 6857 Epoch 6857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6857With loss 0.1267430099331721 epoch: 6858 Epoch 6858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6858With loss 0.1267430099331721 epoch: 6859 Epoch 6859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6859With loss 0.1267430099331721 epoch: 6860 Epoch 6860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6860With loss 0.1267430099331721 epoch: 6861 Epoch 6861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6861With loss 0.1267430099331721 epoch: 6862 Epoch 6862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6862With loss 0.1267430099331721 epoch: 6863 Epoch 6863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6863With loss 0.1267430099331721 epoch: 6864 Epoch 6864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6864With loss 0.1267430099331721 epoch: 6865 Epoch 6865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6865With loss 0.1267430099331721 epoch: 6866 Epoch 6866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6866With loss 0.1267430099331721 epoch: 6867 Epoch 6867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6867With loss 0.1267430099331721 epoch: 6868 Epoch 6868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6868With loss 0.1267430099331721 epoch: 6869 Epoch 6869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6869With loss 0.1267430099331721 epoch: 6870 Epoch 6870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6870With loss 0.1267430099331721 epoch: 6871 Epoch 6871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6871With loss 0.1267430099331721 epoch: 6872 Epoch 6872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6872With loss 0.1267430099331721 epoch: 6873 Epoch 6873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6873With loss 0.1267430099331721 epoch: 6874 Epoch 6874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6874With loss 0.1267430099331721 epoch: 6875 Epoch 6875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6875With loss 0.1267430099331721 epoch: 6876 Epoch 6876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6876With loss 0.1267430099331721 epoch: 6877 Epoch 6877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6877With loss 0.1267430099331721 epoch: 6878 Epoch 6878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6878With loss 0.1267430099331721 epoch: 6879 Epoch 6879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6879With loss 0.1267430099331721 epoch: 6880 Epoch 6880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6880With loss 0.1267430099331721 epoch: 6881 Epoch 6881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6881With loss 0.1267430099331721 epoch: 6882 Epoch 6882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6882With loss 0.1267430099331721 epoch: 6883 Epoch 6883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6883With loss 0.1267430099331721 epoch: 6884 Epoch 6884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6884With loss 0.1267430099331721 epoch: 6885 Epoch 6885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6885With loss 0.1267430099331721 epoch: 6886 Epoch 6886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6886With loss 0.1267430099331721 epoch: 6887 Epoch 6887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6887With loss 0.1267430099331721 epoch: 6888 Epoch 6888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6888With loss 0.1267430099331721 epoch: 6889 Epoch 6889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6889With loss 0.1267430099331721 epoch: 6890 Epoch 6890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6890With loss 0.1267430099331721 epoch: 6891 Epoch 6891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6891With loss 0.1267430099331721 epoch: 6892 Epoch 6892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6892With loss 0.1267430099331721 epoch: 6893 Epoch 6893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6893With loss 0.1267430099331721 epoch: 6894 Epoch 6894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6894With loss 0.1267430099331721 epoch: 6895 Epoch 6895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6895With loss 0.1267430099331721 epoch: 6896 Epoch 6896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6896With loss 0.1267430099331721 epoch: 6897 Epoch 6897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6897With loss 0.1267430099331721 epoch: 6898 Epoch 6898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6898With loss 0.1267430099331721 epoch: 6899 Epoch 6899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6899With loss 0.1267430099331721 epoch: 6900 Epoch 6900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6900With loss 0.1267430099331721 epoch: 6901 Epoch 6901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6901With loss 0.1267430099331721 epoch: 6902 Epoch 6902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6902With loss 0.1267430099331721 epoch: 6903 Epoch 6903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6903With loss 0.1267430099331721 epoch: 6904 Epoch 6904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6904With loss 0.1267430099331721 epoch: 6905 Epoch 6905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6905With loss 0.1267430099331721 epoch: 6906 Epoch 6906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6906With loss 0.1267430099331721 epoch: 6907 Epoch 6907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6907With loss 0.1267430099331721 epoch: 6908 Epoch 6908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6908With loss 0.1267430099331721 epoch: 6909 Epoch 6909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6909With loss 0.1267430099331721 epoch: 6910 Epoch 6910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6910With loss 0.1267430099331721 epoch: 6911 Epoch 6911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6911With loss 0.1267430099331721 epoch: 6912 Epoch 6912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6912With loss 0.1267430099331721 epoch: 6913 Epoch 6913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6913With loss 0.1267430099331721 epoch: 6914 Epoch 6914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6914With loss 0.1267430099331721 epoch: 6915 Epoch 6915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6915With loss 0.1267430099331721 epoch: 6916 Epoch 6916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6916With loss 0.1267430099331721 epoch: 6917 Epoch 6917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6917With loss 0.1267430099331721 epoch: 6918 Epoch 6918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6918With loss 0.1267430099331721 epoch: 6919 Epoch 6919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6919With loss 0.1267430099331721 epoch: 6920 Epoch 6920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6920With loss 0.1267430099331721 epoch: 6921 Epoch 6921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6921With loss 0.1267430099331721 epoch: 6922 Epoch 6922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6922With loss 0.1267430099331721 epoch: 6923 Epoch 6923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6923With loss 0.1267430099331721 epoch: 6924 Epoch 6924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6924With loss 0.1267430099331721 epoch: 6925 Epoch 6925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6925With loss 0.1267430099331721 epoch: 6926 Epoch 6926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6926With loss 0.1267430099331721 epoch: 6927 Epoch 6927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6927With loss 0.1267430099331721 epoch: 6928 Epoch 6928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6928With loss 0.1267430099331721 epoch: 6929 Epoch 6929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6929With loss 0.1267430099331721 epoch: 6930 Epoch 6930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6930With loss 0.1267430099331721 epoch: 6931 Epoch 6931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6931With loss 0.1267430099331721 epoch: 6932 Epoch 6932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6932With loss 0.1267430099331721 epoch: 6933 Epoch 6933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6933With loss 0.1267430099331721 epoch: 6934 Epoch 6934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6934With loss 0.1267430099331721 epoch: 6935 Epoch 6935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6935With loss 0.1267430099331721 epoch: 6936 Epoch 6936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6936With loss 0.1267430099331721 epoch: 6937 Epoch 6937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6937With loss 0.1267430099331721 epoch: 6938 Epoch 6938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6938With loss 0.1267430099331721 epoch: 6939 Epoch 6939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6939With loss 0.1267430099331721 epoch: 6940 Epoch 6940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6940With loss 0.1267430099331721 epoch: 6941 Epoch 6941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6941With loss 0.1267430099331721 epoch: 6942 Epoch 6942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6942With loss 0.1267430099331721 epoch: 6943 Epoch 6943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6943With loss 0.1267430099331721 epoch: 6944 Epoch 6944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6944With loss 0.1267430099331721 epoch: 6945 Epoch 6945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6945With loss 0.1267430099331721 epoch: 6946 Epoch 6946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6946With loss 0.1267430099331721 epoch: 6947 Epoch 6947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6947With loss 0.1267430099331721 epoch: 6948 Epoch 6948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6948With loss 0.1267430099331721 epoch: 6949 Epoch 6949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6949With loss 0.1267430099331721 epoch: 6950 Epoch 6950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6950With loss 0.1267430099331721 epoch: 6951 Epoch 6951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6951With loss 0.1267430099331721 epoch: 6952 Epoch 6952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6952With loss 0.1267430099331721 epoch: 6953 Epoch 6953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6953With loss 0.1267430099331721 epoch: 6954 Epoch 6954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6954With loss 0.1267430099331721 epoch: 6955 Epoch 6955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6955With loss 0.1267430099331721 epoch: 6956 Epoch 6956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6956With loss 0.1267430099331721 epoch: 6957 Epoch 6957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6957With loss 0.1267430099331721 epoch: 6958 Epoch 6958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6958With loss 0.1267430099331721 epoch: 6959 Epoch 6959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6959With loss 0.1267430099331721 epoch: 6960 Epoch 6960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6960With loss 0.1267430099331721 epoch: 6961 Epoch 6961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6961With loss 0.1267430099331721 epoch: 6962 Epoch 6962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6962With loss 0.1267430099331721 epoch: 6963 Epoch 6963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6963With loss 0.1267430099331721 epoch: 6964 Epoch 6964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6964With loss 0.1267430099331721 epoch: 6965 Epoch 6965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6965With loss 0.1267430099331721 epoch: 6966 Epoch 6966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6966With loss 0.1267430099331721 epoch: 6967 Epoch 6967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6967With loss 0.1267430099331721 epoch: 6968 Epoch 6968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6968With loss 0.1267430099331721 epoch: 6969 Epoch 6969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6969With loss 0.1267430099331721 epoch: 6970 Epoch 6970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6970With loss 0.1267430099331721 epoch: 6971 Epoch 6971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6971With loss 0.1267430099331721 epoch: 6972 Epoch 6972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6972With loss 0.1267430099331721 epoch: 6973 Epoch 6973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6973With loss 0.1267430099331721 epoch: 6974 Epoch 6974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6974With loss 0.1267430099331721 epoch: 6975 Epoch 6975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6975With loss 0.1267430099331721 epoch: 6976 Epoch 6976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6976With loss 0.1267430099331721 epoch: 6977 Epoch 6977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6977With loss 0.1267430099331721 epoch: 6978 Epoch 6978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6978With loss 0.1267430099331721 epoch: 6979 Epoch 6979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6979With loss 0.1267430099331721 epoch: 6980 Epoch 6980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6980With loss 0.1267430099331721 epoch: 6981 Epoch 6981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6981With loss 0.1267430099331721 epoch: 6982 Epoch 6982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6982With loss 0.1267430099331721 epoch: 6983 Epoch 6983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6983With loss 0.1267430099331721 epoch: 6984 Epoch 6984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6984With loss 0.1267430099331721 epoch: 6985 Epoch 6985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6985With loss 0.1267430099331721 epoch: 6986 Epoch 6986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6986With loss 0.1267430099331721 epoch: 6987 Epoch 6987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6987With loss 0.1267430099331721 epoch: 6988 Epoch 6988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6988With loss 0.1267430099331721 epoch: 6989 Epoch 6989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6989With loss 0.1267430099331721 epoch: 6990 Epoch 6990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6990With loss 0.1267430099331721 epoch: 6991 Epoch 6991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6991With loss 0.1267430099331721 epoch: 6992 Epoch 6992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6992With loss 0.1267430099331721 epoch: 6993 Epoch 6993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6993With loss 0.1267430099331721 epoch: 6994 Epoch 6994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6994With loss 0.1267430099331721 epoch: 6995 Epoch 6995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6995With loss 0.1267430099331721 epoch: 6996 Epoch 6996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6996With loss 0.1267430099331721 epoch: 6997 Epoch 6997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6997With loss 0.1267430099331721 epoch: 6998 Epoch 6998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6998With loss 0.1267430099331721 epoch: 6999 Epoch 6999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 6999With loss 0.1267430099331721 epoch: 7000 Epoch 7000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7000With loss 0.1267430099331721 epoch: 7001 Epoch 7001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7001With loss 0.1267430099331721 epoch: 7002 Epoch 7002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7002With loss 0.1267430099331721 epoch: 7003 Epoch 7003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7003With loss 0.1267430099331721 epoch: 7004 Epoch 7004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7004With loss 0.1267430099331721 epoch: 7005 Epoch 7005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7005With loss 0.1267430099331721 epoch: 7006 Epoch 7006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7006With loss 0.1267430099331721 epoch: 7007 Epoch 7007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7007With loss 0.1267430099331721 epoch: 7008 Epoch 7008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7008With loss 0.1267430099331721 epoch: 7009 Epoch 7009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7009With loss 0.1267430099331721 epoch: 7010 Epoch 7010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7010With loss 0.1267430099331721 epoch: 7011 Epoch 7011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7011With loss 0.1267430099331721 epoch: 7012 Epoch 7012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7012With loss 0.1267430099331721 epoch: 7013 Epoch 7013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7013With loss 0.1267430099331721 epoch: 7014 Epoch 7014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7014With loss 0.1267430099331721 epoch: 7015 Epoch 7015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7015With loss 0.1267430099331721 epoch: 7016 Epoch 7016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7016With loss 0.1267430099331721 epoch: 7017 Epoch 7017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7017With loss 0.1267430099331721 epoch: 7018 Epoch 7018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7018With loss 0.1267430099331721 epoch: 7019 Epoch 7019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7019With loss 0.1267430099331721 epoch: 7020 Epoch 7020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7020With loss 0.1267430099331721 epoch: 7021 Epoch 7021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7021With loss 0.1267430099331721 epoch: 7022 Epoch 7022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7022With loss 0.1267430099331721 epoch: 7023 Epoch 7023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7023With loss 0.1267430099331721 epoch: 7024 Epoch 7024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7024With loss 0.1267430099331721 epoch: 7025 Epoch 7025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7025With loss 0.1267430099331721 epoch: 7026 Epoch 7026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7026With loss 0.1267430099331721 epoch: 7027 Epoch 7027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7027With loss 0.1267430099331721 epoch: 7028 Epoch 7028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7028With loss 0.1267430099331721 epoch: 7029 Epoch 7029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7029With loss 0.1267430099331721 epoch: 7030 Epoch 7030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7030With loss 0.1267430099331721 epoch: 7031 Epoch 7031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7031With loss 0.1267430099331721 epoch: 7032 Epoch 7032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7032With loss 0.1267430099331721 epoch: 7033 Epoch 7033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7033With loss 0.1267430099331721 epoch: 7034 Epoch 7034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7034With loss 0.1267430099331721 epoch: 7035 Epoch 7035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7035With loss 0.1267430099331721 epoch: 7036 Epoch 7036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7036With loss 0.1267430099331721 epoch: 7037 Epoch 7037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7037With loss 0.1267430099331721 epoch: 7038 Epoch 7038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7038With loss 0.1267430099331721 epoch: 7039 Epoch 7039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7039With loss 0.1267430099331721 epoch: 7040 Epoch 7040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7040With loss 0.1267430099331721 epoch: 7041 Epoch 7041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7041With loss 0.1267430099331721 epoch: 7042 Epoch 7042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7042With loss 0.1267430099331721 epoch: 7043 Epoch 7043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7043With loss 0.1267430099331721 epoch: 7044 Epoch 7044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7044With loss 0.1267430099331721 epoch: 7045 Epoch 7045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7045With loss 0.1267430099331721 epoch: 7046 Epoch 7046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7046With loss 0.1267430099331721 epoch: 7047 Epoch 7047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7047With loss 0.1267430099331721 epoch: 7048 Epoch 7048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7048With loss 0.1267430099331721 epoch: 7049 Epoch 7049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7049With loss 0.1267430099331721 epoch: 7050 Epoch 7050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7050With loss 0.1267430099331721 epoch: 7051 Epoch 7051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7051With loss 0.1267430099331721 epoch: 7052 Epoch 7052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7052With loss 0.1267430099331721 epoch: 7053 Epoch 7053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7053With loss 0.1267430099331721 epoch: 7054 Epoch 7054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7054With loss 0.1267430099331721 epoch: 7055 Epoch 7055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7055With loss 0.1267430099331721 epoch: 7056 Epoch 7056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7056With loss 0.1267430099331721 epoch: 7057 Epoch 7057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7057With loss 0.1267430099331721 epoch: 7058 Epoch 7058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7058With loss 0.1267430099331721 epoch: 7059 Epoch 7059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7059With loss 0.1267430099331721 epoch: 7060 Epoch 7060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7060With loss 0.1267430099331721 epoch: 7061 Epoch 7061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7061With loss 0.1267430099331721 epoch: 7062 Epoch 7062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7062With loss 0.1267430099331721 epoch: 7063 Epoch 7063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7063With loss 0.1267430099331721 epoch: 7064 Epoch 7064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7064With loss 0.1267430099331721 epoch: 7065 Epoch 7065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7065With loss 0.1267430099331721 epoch: 7066 Epoch 7066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7066With loss 0.1267430099331721 epoch: 7067 Epoch 7067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7067With loss 0.1267430099331721 epoch: 7068 Epoch 7068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7068With loss 0.1267430099331721 epoch: 7069 Epoch 7069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7069With loss 0.1267430099331721 epoch: 7070 Epoch 7070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7070With loss 0.1267430099331721 epoch: 7071 Epoch 7071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7071With loss 0.1267430099331721 epoch: 7072 Epoch 7072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7072With loss 0.1267430099331721 epoch: 7073 Epoch 7073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7073With loss 0.1267430099331721 epoch: 7074 Epoch 7074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7074With loss 0.1267430099331721 epoch: 7075 Epoch 7075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7075With loss 0.1267430099331721 epoch: 7076 Epoch 7076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7076With loss 0.1267430099331721 epoch: 7077 Epoch 7077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7077With loss 0.1267430099331721 epoch: 7078 Epoch 7078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7078With loss 0.1267430099331721 epoch: 7079 Epoch 7079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7079With loss 0.1267430099331721 epoch: 7080 Epoch 7080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7080With loss 0.1267430099331721 epoch: 7081 Epoch 7081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7081With loss 0.1267430099331721 epoch: 7082 Epoch 7082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7082With loss 0.1267430099331721 epoch: 7083 Epoch 7083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7083With loss 0.1267430099331721 epoch: 7084 Epoch 7084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7084With loss 0.1267430099331721 epoch: 7085 Epoch 7085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7085With loss 0.1267430099331721 epoch: 7086 Epoch 7086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7086With loss 0.1267430099331721 epoch: 7087 Epoch 7087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7087With loss 0.1267430099331721 epoch: 7088 Epoch 7088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7088With loss 0.1267430099331721 epoch: 7089 Epoch 7089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7089With loss 0.1267430099331721 epoch: 7090 Epoch 7090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7090With loss 0.1267430099331721 epoch: 7091 Epoch 7091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7091With loss 0.1267430099331721 epoch: 7092 Epoch 7092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7092With loss 0.1267430099331721 epoch: 7093 Epoch 7093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7093With loss 0.1267430099331721 epoch: 7094 Epoch 7094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7094With loss 0.1267430099331721 epoch: 7095 Epoch 7095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7095With loss 0.1267430099331721 epoch: 7096 Epoch 7096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7096With loss 0.1267430099331721 epoch: 7097 Epoch 7097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7097With loss 0.1267430099331721 epoch: 7098 Epoch 7098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7098With loss 0.1267430099331721 epoch: 7099 Epoch 7099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7099With loss 0.1267430099331721 epoch: 7100 Epoch 7100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7100With loss 0.1267430099331721 epoch: 7101 Epoch 7101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7101With loss 0.1267430099331721 epoch: 7102 Epoch 7102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7102With loss 0.1267430099331721 epoch: 7103 Epoch 7103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7103With loss 0.1267430099331721 epoch: 7104 Epoch 7104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7104With loss 0.1267430099331721 epoch: 7105 Epoch 7105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7105With loss 0.1267430099331721 epoch: 7106 Epoch 7106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7106With loss 0.1267430099331721 epoch: 7107 Epoch 7107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7107With loss 0.1267430099331721 epoch: 7108 Epoch 7108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7108With loss 0.1267430099331721 epoch: 7109 Epoch 7109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7109With loss 0.1267430099331721 epoch: 7110 Epoch 7110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7110With loss 0.1267430099331721 epoch: 7111 Epoch 7111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7111With loss 0.1267430099331721 epoch: 7112 Epoch 7112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7112With loss 0.1267430099331721 epoch: 7113 Epoch 7113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7113With loss 0.1267430099331721 epoch: 7114 Epoch 7114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7114With loss 0.1267430099331721 epoch: 7115 Epoch 7115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7115With loss 0.1267430099331721 epoch: 7116 Epoch 7116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7116With loss 0.1267430099331721 epoch: 7117 Epoch 7117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7117With loss 0.1267430099331721 epoch: 7118 Epoch 7118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7118With loss 0.1267430099331721 epoch: 7119 Epoch 7119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7119With loss 0.1267430099331721 epoch: 7120 Epoch 7120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7120With loss 0.1267430099331721 epoch: 7121 Epoch 7121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7121With loss 0.1267430099331721 epoch: 7122 Epoch 7122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7122With loss 0.1267430099331721 epoch: 7123 Epoch 7123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7123With loss 0.1267430099331721 epoch: 7124 Epoch 7124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7124With loss 0.1267430099331721 epoch: 7125 Epoch 7125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7125With loss 0.1267430099331721 epoch: 7126 Epoch 7126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7126With loss 0.1267430099331721 epoch: 7127 Epoch 7127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7127With loss 0.1267430099331721 epoch: 7128 Epoch 7128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7128With loss 0.1267430099331721 epoch: 7129 Epoch 7129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7129With loss 0.1267430099331721 epoch: 7130 Epoch 7130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7130With loss 0.1267430099331721 epoch: 7131 Epoch 7131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7131With loss 0.1267430099331721 epoch: 7132 Epoch 7132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7132With loss 0.1267430099331721 epoch: 7133 Epoch 7133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7133With loss 0.1267430099331721 epoch: 7134 Epoch 7134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7134With loss 0.1267430099331721 epoch: 7135 Epoch 7135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7135With loss 0.1267430099331721 epoch: 7136 Epoch 7136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7136With loss 0.1267430099331721 epoch: 7137 Epoch 7137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7137With loss 0.1267430099331721 epoch: 7138 Epoch 7138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7138With loss 0.1267430099331721 epoch: 7139 Epoch 7139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7139With loss 0.1267430099331721 epoch: 7140 Epoch 7140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7140With loss 0.1267430099331721 epoch: 7141 Epoch 7141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7141With loss 0.1267430099331721 epoch: 7142 Epoch 7142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7142With loss 0.1267430099331721 epoch: 7143 Epoch 7143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7143With loss 0.1267430099331721 epoch: 7144 Epoch 7144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7144With loss 0.1267430099331721 epoch: 7145 Epoch 7145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7145With loss 0.1267430099331721 epoch: 7146 Epoch 7146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7146With loss 0.1267430099331721 epoch: 7147 Epoch 7147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7147With loss 0.1267430099331721 epoch: 7148 Epoch 7148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7148With loss 0.1267430099331721 epoch: 7149 Epoch 7149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7149With loss 0.1267430099331721 epoch: 7150 Epoch 7150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7150With loss 0.1267430099331721 epoch: 7151 Epoch 7151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7151With loss 0.1267430099331721 epoch: 7152 Epoch 7152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7152With loss 0.1267430099331721 epoch: 7153 Epoch 7153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7153With loss 0.1267430099331721 epoch: 7154 Epoch 7154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7154With loss 0.1267430099331721 epoch: 7155 Epoch 7155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7155With loss 0.1267430099331721 epoch: 7156 Epoch 7156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7156With loss 0.1267430099331721 epoch: 7157 Epoch 7157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7157With loss 0.1267430099331721 epoch: 7158 Epoch 7158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7158With loss 0.1267430099331721 epoch: 7159 Epoch 7159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7159With loss 0.1267430099331721 epoch: 7160 Epoch 7160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7160With loss 0.1267430099331721 epoch: 7161 Epoch 7161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7161With loss 0.1267430099331721 epoch: 7162 Epoch 7162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7162With loss 0.1267430099331721 epoch: 7163 Epoch 7163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7163With loss 0.1267430099331721 epoch: 7164 Epoch 7164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7164With loss 0.1267430099331721 epoch: 7165 Epoch 7165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7165With loss 0.1267430099331721 epoch: 7166 Epoch 7166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7166With loss 0.1267430099331721 epoch: 7167 Epoch 7167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7167With loss 0.1267430099331721 epoch: 7168 Epoch 7168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7168With loss 0.1267430099331721 epoch: 7169 Epoch 7169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7169With loss 0.1267430099331721 epoch: 7170 Epoch 7170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7170With loss 0.1267430099331721 epoch: 7171 Epoch 7171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7171With loss 0.1267430099331721 epoch: 7172 Epoch 7172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7172With loss 0.1267430099331721 epoch: 7173 Epoch 7173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7173With loss 0.1267430099331721 epoch: 7174 Epoch 7174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7174With loss 0.1267430099331721 epoch: 7175 Epoch 7175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7175With loss 0.1267430099331721 epoch: 7176 Epoch 7176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7176With loss 0.1267430099331721 epoch: 7177 Epoch 7177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7177With loss 0.1267430099331721 epoch: 7178 Epoch 7178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7178With loss 0.1267430099331721 epoch: 7179 Epoch 7179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7179With loss 0.1267430099331721 epoch: 7180 Epoch 7180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7180With loss 0.1267430099331721 epoch: 7181 Epoch 7181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7181With loss 0.1267430099331721 epoch: 7182 Epoch 7182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7182With loss 0.1267430099331721 epoch: 7183 Epoch 7183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7183With loss 0.1267430099331721 epoch: 7184 Epoch 7184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7184With loss 0.1267430099331721 epoch: 7185 Epoch 7185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7185With loss 0.1267430099331721 epoch: 7186 Epoch 7186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7186With loss 0.1267430099331721 epoch: 7187 Epoch 7187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7187With loss 0.1267430099331721 epoch: 7188 Epoch 7188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7188With loss 0.1267430099331721 epoch: 7189 Epoch 7189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7189With loss 0.1267430099331721 epoch: 7190 Epoch 7190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7190With loss 0.1267430099331721 epoch: 7191 Epoch 7191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7191With loss 0.1267430099331721 epoch: 7192 Epoch 7192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7192With loss 0.1267430099331721 epoch: 7193 Epoch 7193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7193With loss 0.1267430099331721 epoch: 7194 Epoch 7194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7194With loss 0.1267430099331721 epoch: 7195 Epoch 7195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7195With loss 0.1267430099331721 epoch: 7196 Epoch 7196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7196With loss 0.1267430099331721 epoch: 7197 Epoch 7197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7197With loss 0.1267430099331721 epoch: 7198 Epoch 7198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7198With loss 0.1267430099331721 epoch: 7199 Epoch 7199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7199With loss 0.1267430099331721 epoch: 7200 Epoch 7200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7200With loss 0.1267430099331721 epoch: 7201 Epoch 7201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7201With loss 0.1267430099331721 epoch: 7202 Epoch 7202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7202With loss 0.1267430099331721 epoch: 7203 Epoch 7203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7203With loss 0.1267430099331721 epoch: 7204 Epoch 7204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7204With loss 0.1267430099331721 epoch: 7205 Epoch 7205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7205With loss 0.1267430099331721 epoch: 7206 Epoch 7206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7206With loss 0.1267430099331721 epoch: 7207 Epoch 7207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7207With loss 0.1267430099331721 epoch: 7208 Epoch 7208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7208With loss 0.1267430099331721 epoch: 7209 Epoch 7209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7209With loss 0.1267430099331721 epoch: 7210 Epoch 7210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7210With loss 0.1267430099331721 epoch: 7211 Epoch 7211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7211With loss 0.1267430099331721 epoch: 7212 Epoch 7212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7212With loss 0.1267430099331721 epoch: 7213 Epoch 7213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7213With loss 0.1267430099331721 epoch: 7214 Epoch 7214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7214With loss 0.1267430099331721 epoch: 7215 Epoch 7215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7215With loss 0.1267430099331721 epoch: 7216 Epoch 7216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7216With loss 0.1267430099331721 epoch: 7217 Epoch 7217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7217With loss 0.1267430099331721 epoch: 7218 Epoch 7218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7218With loss 0.1267430099331721 epoch: 7219 Epoch 7219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7219With loss 0.1267430099331721 epoch: 7220 Epoch 7220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7220With loss 0.1267430099331721 epoch: 7221 Epoch 7221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7221With loss 0.1267430099331721 epoch: 7222 Epoch 7222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7222With loss 0.1267430099331721 epoch: 7223 Epoch 7223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7223With loss 0.1267430099331721 epoch: 7224 Epoch 7224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7224With loss 0.1267430099331721 epoch: 7225 Epoch 7225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7225With loss 0.1267430099331721 epoch: 7226 Epoch 7226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7226With loss 0.1267430099331721 epoch: 7227 Epoch 7227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7227With loss 0.1267430099331721 epoch: 7228 Epoch 7228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7228With loss 0.1267430099331721 epoch: 7229 Epoch 7229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7229With loss 0.1267430099331721 epoch: 7230 Epoch 7230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7230With loss 0.1267430099331721 epoch: 7231 Epoch 7231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7231With loss 0.1267430099331721 epoch: 7232 Epoch 7232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7232With loss 0.1267430099331721 epoch: 7233 Epoch 7233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7233With loss 0.1267430099331721 epoch: 7234 Epoch 7234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7234With loss 0.1267430099331721 epoch: 7235 Epoch 7235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7235With loss 0.1267430099331721 epoch: 7236 Epoch 7236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7236With loss 0.1267430099331721 epoch: 7237 Epoch 7237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7237With loss 0.1267430099331721 epoch: 7238 Epoch 7238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7238With loss 0.1267430099331721 epoch: 7239 Epoch 7239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7239With loss 0.1267430099331721 epoch: 7240 Epoch 7240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7240With loss 0.1267430099331721 epoch: 7241 Epoch 7241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7241With loss 0.1267430099331721 epoch: 7242 Epoch 7242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7242With loss 0.1267430099331721 epoch: 7243 Epoch 7243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7243With loss 0.1267430099331721 epoch: 7244 Epoch 7244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7244With loss 0.1267430099331721 epoch: 7245 Epoch 7245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7245With loss 0.1267430099331721 epoch: 7246 Epoch 7246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7246With loss 0.1267430099331721 epoch: 7247 Epoch 7247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7247With loss 0.1267430099331721 epoch: 7248 Epoch 7248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7248With loss 0.1267430099331721 epoch: 7249 Epoch 7249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7249With loss 0.1267430099331721 epoch: 7250 Epoch 7250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7250With loss 0.1267430099331721 epoch: 7251 Epoch 7251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7251With loss 0.1267430099331721 epoch: 7252 Epoch 7252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7252With loss 0.1267430099331721 epoch: 7253 Epoch 7253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7253With loss 0.1267430099331721 epoch: 7254 Epoch 7254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7254With loss 0.1267430099331721 epoch: 7255 Epoch 7255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7255With loss 0.1267430099331721 epoch: 7256 Epoch 7256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7256With loss 0.1267430099331721 epoch: 7257 Epoch 7257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7257With loss 0.1267430099331721 epoch: 7258 Epoch 7258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7258With loss 0.1267430099331721 epoch: 7259 Epoch 7259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7259With loss 0.1267430099331721 epoch: 7260 Epoch 7260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7260With loss 0.1267430099331721 epoch: 7261 Epoch 7261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7261With loss 0.1267430099331721 epoch: 7262 Epoch 7262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7262With loss 0.1267430099331721 epoch: 7263 Epoch 7263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7263With loss 0.1267430099331721 epoch: 7264 Epoch 7264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7264With loss 0.1267430099331721 epoch: 7265 Epoch 7265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7265With loss 0.1267430099331721 epoch: 7266 Epoch 7266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7266With loss 0.1267430099331721 epoch: 7267 Epoch 7267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7267With loss 0.1267430099331721 epoch: 7268 Epoch 7268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7268With loss 0.1267430099331721 epoch: 7269 Epoch 7269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7269With loss 0.1267430099331721 epoch: 7270 Epoch 7270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7270With loss 0.1267430099331721 epoch: 7271 Epoch 7271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7271With loss 0.1267430099331721 epoch: 7272 Epoch 7272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7272With loss 0.1267430099331721 epoch: 7273 Epoch 7273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7273With loss 0.1267430099331721 epoch: 7274 Epoch 7274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7274With loss 0.1267430099331721 epoch: 7275 Epoch 7275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7275With loss 0.1267430099331721 epoch: 7276 Epoch 7276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7276With loss 0.1267430099331721 epoch: 7277 Epoch 7277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7277With loss 0.1267430099331721 epoch: 7278 Epoch 7278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7278With loss 0.1267430099331721 epoch: 7279 Epoch 7279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7279With loss 0.1267430099331721 epoch: 7280 Epoch 7280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7280With loss 0.1267430099331721 epoch: 7281 Epoch 7281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7281With loss 0.1267430099331721 epoch: 7282 Epoch 7282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7282With loss 0.1267430099331721 epoch: 7283 Epoch 7283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7283With loss 0.1267430099331721 epoch: 7284 Epoch 7284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7284With loss 0.1267430099331721 epoch: 7285 Epoch 7285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7285With loss 0.1267430099331721 epoch: 7286 Epoch 7286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7286With loss 0.1267430099331721 epoch: 7287 Epoch 7287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7287With loss 0.1267430099331721 epoch: 7288 Epoch 7288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7288With loss 0.1267430099331721 epoch: 7289 Epoch 7289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7289With loss 0.1267430099331721 epoch: 7290 Epoch 7290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7290With loss 0.1267430099331721 epoch: 7291 Epoch 7291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7291With loss 0.1267430099331721 epoch: 7292 Epoch 7292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7292With loss 0.1267430099331721 epoch: 7293 Epoch 7293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7293With loss 0.1267430099331721 epoch: 7294 Epoch 7294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7294With loss 0.1267430099331721 epoch: 7295 Epoch 7295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7295With loss 0.1267430099331721 epoch: 7296 Epoch 7296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7296With loss 0.1267430099331721 epoch: 7297 Epoch 7297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7297With loss 0.1267430099331721 epoch: 7298 Epoch 7298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7298With loss 0.1267430099331721 epoch: 7299 Epoch 7299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7299With loss 0.1267430099331721 epoch: 7300 Epoch 7300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7300With loss 0.1267430099331721 epoch: 7301 Epoch 7301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7301With loss 0.1267430099331721 epoch: 7302 Epoch 7302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7302With loss 0.1267430099331721 epoch: 7303 Epoch 7303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7303With loss 0.1267430099331721 epoch: 7304 Epoch 7304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7304With loss 0.1267430099331721 epoch: 7305 Epoch 7305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7305With loss 0.1267430099331721 epoch: 7306 Epoch 7306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7306With loss 0.1267430099331721 epoch: 7307 Epoch 7307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7307With loss 0.1267430099331721 epoch: 7308 Epoch 7308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7308With loss 0.1267430099331721 epoch: 7309 Epoch 7309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7309With loss 0.1267430099331721 epoch: 7310 Epoch 7310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7310With loss 0.1267430099331721 epoch: 7311 Epoch 7311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7311With loss 0.1267430099331721 epoch: 7312 Epoch 7312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7312With loss 0.1267430099331721 epoch: 7313 Epoch 7313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7313With loss 0.1267430099331721 epoch: 7314 Epoch 7314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7314With loss 0.1267430099331721 epoch: 7315 Epoch 7315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7315With loss 0.1267430099331721 epoch: 7316 Epoch 7316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7316With loss 0.1267430099331721 epoch: 7317 Epoch 7317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7317With loss 0.1267430099331721 epoch: 7318 Epoch 7318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7318With loss 0.1267430099331721 epoch: 7319 Epoch 7319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7319With loss 0.1267430099331721 epoch: 7320 Epoch 7320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7320With loss 0.1267430099331721 epoch: 7321 Epoch 7321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7321With loss 0.1267430099331721 epoch: 7322 Epoch 7322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7322With loss 0.1267430099331721 epoch: 7323 Epoch 7323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7323With loss 0.1267430099331721 epoch: 7324 Epoch 7324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7324With loss 0.1267430099331721 epoch: 7325 Epoch 7325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7325With loss 0.1267430099331721 epoch: 7326 Epoch 7326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7326With loss 0.1267430099331721 epoch: 7327 Epoch 7327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7327With loss 0.1267430099331721 epoch: 7328 Epoch 7328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7328With loss 0.1267430099331721 epoch: 7329 Epoch 7329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7329With loss 0.1267430099331721 epoch: 7330 Epoch 7330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7330With loss 0.1267430099331721 epoch: 7331 Epoch 7331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7331With loss 0.1267430099331721 epoch: 7332 Epoch 7332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7332With loss 0.1267430099331721 epoch: 7333 Epoch 7333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7333With loss 0.1267430099331721 epoch: 7334 Epoch 7334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7334With loss 0.1267430099331721 epoch: 7335 Epoch 7335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7335With loss 0.1267430099331721 epoch: 7336 Epoch 7336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7336With loss 0.1267430099331721 epoch: 7337 Epoch 7337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7337With loss 0.1267430099331721 epoch: 7338 Epoch 7338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7338With loss 0.1267430099331721 epoch: 7339 Epoch 7339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7339With loss 0.1267430099331721 epoch: 7340 Epoch 7340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7340With loss 0.1267430099331721 epoch: 7341 Epoch 7341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7341With loss 0.1267430099331721 epoch: 7342 Epoch 7342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7342With loss 0.1267430099331721 epoch: 7343 Epoch 7343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7343With loss 0.1267430099331721 epoch: 7344 Epoch 7344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7344With loss 0.1267430099331721 epoch: 7345 Epoch 7345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7345With loss 0.1267430099331721 epoch: 7346 Epoch 7346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7346With loss 0.1267430099331721 epoch: 7347 Epoch 7347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7347With loss 0.1267430099331721 epoch: 7348 Epoch 7348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7348With loss 0.1267430099331721 epoch: 7349 Epoch 7349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7349With loss 0.1267430099331721 epoch: 7350 Epoch 7350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7350With loss 0.1267430099331721 epoch: 7351 Epoch 7351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7351With loss 0.1267430099331721 epoch: 7352 Epoch 7352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7352With loss 0.1267430099331721 epoch: 7353 Epoch 7353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7353With loss 0.1267430099331721 epoch: 7354 Epoch 7354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7354With loss 0.1267430099331721 epoch: 7355 Epoch 7355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7355With loss 0.1267430099331721 epoch: 7356 Epoch 7356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7356With loss 0.1267430099331721 epoch: 7357 Epoch 7357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7357With loss 0.1267430099331721 epoch: 7358 Epoch 7358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7358With loss 0.1267430099331721 epoch: 7359 Epoch 7359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7359With loss 0.1267430099331721 epoch: 7360 Epoch 7360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7360With loss 0.1267430099331721 epoch: 7361 Epoch 7361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7361With loss 0.1267430099331721 epoch: 7362 Epoch 7362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7362With loss 0.1267430099331721 epoch: 7363 Epoch 7363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7363With loss 0.1267430099331721 epoch: 7364 Epoch 7364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7364With loss 0.1267430099331721 epoch: 7365 Epoch 7365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7365With loss 0.1267430099331721 epoch: 7366 Epoch 7366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7366With loss 0.1267430099331721 epoch: 7367 Epoch 7367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7367With loss 0.1267430099331721 epoch: 7368 Epoch 7368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7368With loss 0.1267430099331721 epoch: 7369 Epoch 7369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7369With loss 0.1267430099331721 epoch: 7370 Epoch 7370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7370With loss 0.1267430099331721 epoch: 7371 Epoch 7371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7371With loss 0.1267430099331721 epoch: 7372 Epoch 7372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7372With loss 0.1267430099331721 epoch: 7373 Epoch 7373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7373With loss 0.1267430099331721 epoch: 7374 Epoch 7374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7374With loss 0.1267430099331721 epoch: 7375 Epoch 7375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7375With loss 0.1267430099331721 epoch: 7376 Epoch 7376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7376With loss 0.1267430099331721 epoch: 7377 Epoch 7377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7377With loss 0.1267430099331721 epoch: 7378 Epoch 7378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7378With loss 0.1267430099331721 epoch: 7379 Epoch 7379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7379With loss 0.1267430099331721 epoch: 7380 Epoch 7380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7380With loss 0.1267430099331721 epoch: 7381 Epoch 7381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7381With loss 0.1267430099331721 epoch: 7382 Epoch 7382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7382With loss 0.1267430099331721 epoch: 7383 Epoch 7383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7383With loss 0.1267430099331721 epoch: 7384 Epoch 7384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7384With loss 0.1267430099331721 epoch: 7385 Epoch 7385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7385With loss 0.1267430099331721 epoch: 7386 Epoch 7386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7386With loss 0.1267430099331721 epoch: 7387 Epoch 7387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7387With loss 0.1267430099331721 epoch: 7388 Epoch 7388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7388With loss 0.1267430099331721 epoch: 7389 Epoch 7389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7389With loss 0.1267430099331721 epoch: 7390 Epoch 7390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7390With loss 0.1267430099331721 epoch: 7391 Epoch 7391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7391With loss 0.1267430099331721 epoch: 7392 Epoch 7392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7392With loss 0.1267430099331721 epoch: 7393 Epoch 7393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7393With loss 0.1267430099331721 epoch: 7394 Epoch 7394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7394With loss 0.1267430099331721 epoch: 7395 Epoch 7395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7395With loss 0.1267430099331721 epoch: 7396 Epoch 7396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7396With loss 0.1267430099331721 epoch: 7397 Epoch 7397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7397With loss 0.1267430099331721 epoch: 7398 Epoch 7398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7398With loss 0.1267430099331721 epoch: 7399 Epoch 7399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7399With loss 0.1267430099331721 epoch: 7400 Epoch 7400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7400With loss 0.1267430099331721 epoch: 7401 Epoch 7401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7401With loss 0.1267430099331721 epoch: 7402 Epoch 7402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7402With loss 0.1267430099331721 epoch: 7403 Epoch 7403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7403With loss 0.1267430099331721 epoch: 7404 Epoch 7404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7404With loss 0.1267430099331721 epoch: 7405 Epoch 7405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7405With loss 0.1267430099331721 epoch: 7406 Epoch 7406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7406With loss 0.1267430099331721 epoch: 7407 Epoch 7407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7407With loss 0.1267430099331721 epoch: 7408 Epoch 7408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7408With loss 0.1267430099331721 epoch: 7409 Epoch 7409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7409With loss 0.1267430099331721 epoch: 7410 Epoch 7410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7410With loss 0.1267430099331721 epoch: 7411 Epoch 7411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7411With loss 0.1267430099331721 epoch: 7412 Epoch 7412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7412With loss 0.1267430099331721 epoch: 7413 Epoch 7413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7413With loss 0.1267430099331721 epoch: 7414 Epoch 7414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7414With loss 0.1267430099331721 epoch: 7415 Epoch 7415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7415With loss 0.1267430099331721 epoch: 7416 Epoch 7416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7416With loss 0.1267430099331721 epoch: 7417 Epoch 7417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7417With loss 0.1267430099331721 epoch: 7418 Epoch 7418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7418With loss 0.1267430099331721 epoch: 7419 Epoch 7419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7419With loss 0.1267430099331721 epoch: 7420 Epoch 7420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7420With loss 0.1267430099331721 epoch: 7421 Epoch 7421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7421With loss 0.1267430099331721 epoch: 7422 Epoch 7422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7422With loss 0.1267430099331721 epoch: 7423 Epoch 7423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7423With loss 0.1267430099331721 epoch: 7424 Epoch 7424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7424With loss 0.1267430099331721 epoch: 7425 Epoch 7425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7425With loss 0.1267430099331721 epoch: 7426 Epoch 7426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7426With loss 0.1267430099331721 epoch: 7427 Epoch 7427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7427With loss 0.1267430099331721 epoch: 7428 Epoch 7428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7428With loss 0.1267430099331721 epoch: 7429 Epoch 7429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7429With loss 0.1267430099331721 epoch: 7430 Epoch 7430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7430With loss 0.1267430099331721 epoch: 7431 Epoch 7431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7431With loss 0.1267430099331721 epoch: 7432 Epoch 7432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7432With loss 0.1267430099331721 epoch: 7433 Epoch 7433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7433With loss 0.1267430099331721 epoch: 7434 Epoch 7434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7434With loss 0.1267430099331721 epoch: 7435 Epoch 7435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7435With loss 0.1267430099331721 epoch: 7436 Epoch 7436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7436With loss 0.1267430099331721 epoch: 7437 Epoch 7437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7437With loss 0.1267430099331721 epoch: 7438 Epoch 7438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7438With loss 0.1267430099331721 epoch: 7439 Epoch 7439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7439With loss 0.1267430099331721 epoch: 7440 Epoch 7440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7440With loss 0.1267430099331721 epoch: 7441 Epoch 7441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7441With loss 0.1267430099331721 epoch: 7442 Epoch 7442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7442With loss 0.1267430099331721 epoch: 7443 Epoch 7443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7443With loss 0.1267430099331721 epoch: 7444 Epoch 7444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7444With loss 0.1267430099331721 epoch: 7445 Epoch 7445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7445With loss 0.1267430099331721 epoch: 7446 Epoch 7446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7446With loss 0.1267430099331721 epoch: 7447 Epoch 7447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7447With loss 0.1267430099331721 epoch: 7448 Epoch 7448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7448With loss 0.1267430099331721 epoch: 7449 Epoch 7449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7449With loss 0.1267430099331721 epoch: 7450 Epoch 7450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7450With loss 0.1267430099331721 epoch: 7451 Epoch 7451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7451With loss 0.1267430099331721 epoch: 7452 Epoch 7452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7452With loss 0.1267430099331721 epoch: 7453 Epoch 7453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7453With loss 0.1267430099331721 epoch: 7454 Epoch 7454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7454With loss 0.1267430099331721 epoch: 7455 Epoch 7455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7455With loss 0.1267430099331721 epoch: 7456 Epoch 7456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7456With loss 0.1267430099331721 epoch: 7457 Epoch 7457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7457With loss 0.1267430099331721 epoch: 7458 Epoch 7458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7458With loss 0.1267430099331721 epoch: 7459 Epoch 7459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7459With loss 0.1267430099331721 epoch: 7460 Epoch 7460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7460With loss 0.1267430099331721 epoch: 7461 Epoch 7461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7461With loss 0.1267430099331721 epoch: 7462 Epoch 7462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7462With loss 0.1267430099331721 epoch: 7463 Epoch 7463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7463With loss 0.1267430099331721 epoch: 7464 Epoch 7464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7464With loss 0.1267430099331721 epoch: 7465 Epoch 7465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7465With loss 0.1267430099331721 epoch: 7466 Epoch 7466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7466With loss 0.1267430099331721 epoch: 7467 Epoch 7467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7467With loss 0.1267430099331721 epoch: 7468 Epoch 7468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7468With loss 0.1267430099331721 epoch: 7469 Epoch 7469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7469With loss 0.1267430099331721 epoch: 7470 Epoch 7470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7470With loss 0.1267430099331721 epoch: 7471 Epoch 7471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7471With loss 0.1267430099331721 epoch: 7472 Epoch 7472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7472With loss 0.1267430099331721 epoch: 7473 Epoch 7473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7473With loss 0.1267430099331721 epoch: 7474 Epoch 7474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7474With loss 0.1267430099331721 epoch: 7475 Epoch 7475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7475With loss 0.1267430099331721 epoch: 7476 Epoch 7476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7476With loss 0.1267430099331721 epoch: 7477 Epoch 7477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7477With loss 0.1267430099331721 epoch: 7478 Epoch 7478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7478With loss 0.1267430099331721 epoch: 7479 Epoch 7479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7479With loss 0.1267430099331721 epoch: 7480 Epoch 7480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7480With loss 0.1267430099331721 epoch: 7481 Epoch 7481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7481With loss 0.1267430099331721 epoch: 7482 Epoch 7482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7482With loss 0.1267430099331721 epoch: 7483 Epoch 7483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7483With loss 0.1267430099331721 epoch: 7484 Epoch 7484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7484With loss 0.1267430099331721 epoch: 7485 Epoch 7485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7485With loss 0.1267430099331721 epoch: 7486 Epoch 7486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7486With loss 0.1267430099331721 epoch: 7487 Epoch 7487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7487With loss 0.1267430099331721 epoch: 7488 Epoch 7488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7488With loss 0.1267430099331721 epoch: 7489 Epoch 7489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7489With loss 0.1267430099331721 epoch: 7490 Epoch 7490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7490With loss 0.1267430099331721 epoch: 7491 Epoch 7491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7491With loss 0.1267430099331721 epoch: 7492 Epoch 7492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7492With loss 0.1267430099331721 epoch: 7493 Epoch 7493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7493With loss 0.1267430099331721 epoch: 7494 Epoch 7494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7494With loss 0.1267430099331721 epoch: 7495 Epoch 7495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7495With loss 0.1267430099331721 epoch: 7496 Epoch 7496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7496With loss 0.1267430099331721 epoch: 7497 Epoch 7497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7497With loss 0.1267430099331721 epoch: 7498 Epoch 7498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7498With loss 0.1267430099331721 epoch: 7499 Epoch 7499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7499With loss 0.1267430099331721 epoch: 7500 Epoch 7500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7500With loss 0.1267430099331721 epoch: 7501 Epoch 7501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7501With loss 0.1267430099331721 epoch: 7502 Epoch 7502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7502With loss 0.1267430099331721 epoch: 7503 Epoch 7503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7503With loss 0.1267430099331721 epoch: 7504 Epoch 7504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7504With loss 0.1267430099331721 epoch: 7505 Epoch 7505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7505With loss 0.1267430099331721 epoch: 7506 Epoch 7506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7506With loss 0.1267430099331721 epoch: 7507 Epoch 7507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7507With loss 0.1267430099331721 epoch: 7508 Epoch 7508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7508With loss 0.1267430099331721 epoch: 7509 Epoch 7509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7509With loss 0.1267430099331721 epoch: 7510 Epoch 7510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7510With loss 0.1267430099331721 epoch: 7511 Epoch 7511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7511With loss 0.1267430099331721 epoch: 7512 Epoch 7512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7512With loss 0.1267430099331721 epoch: 7513 Epoch 7513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7513With loss 0.1267430099331721 epoch: 7514 Epoch 7514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7514With loss 0.1267430099331721 epoch: 7515 Epoch 7515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7515With loss 0.1267430099331721 epoch: 7516 Epoch 7516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7516With loss 0.1267430099331721 epoch: 7517 Epoch 7517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7517With loss 0.1267430099331721 epoch: 7518 Epoch 7518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7518With loss 0.1267430099331721 epoch: 7519 Epoch 7519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7519With loss 0.1267430099331721 epoch: 7520 Epoch 7520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7520With loss 0.1267430099331721 epoch: 7521 Epoch 7521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7521With loss 0.1267430099331721 epoch: 7522 Epoch 7522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7522With loss 0.1267430099331721 epoch: 7523 Epoch 7523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7523With loss 0.1267430099331721 epoch: 7524 Epoch 7524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7524With loss 0.1267430099331721 epoch: 7525 Epoch 7525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7525With loss 0.1267430099331721 epoch: 7526 Epoch 7526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7526With loss 0.1267430099331721 epoch: 7527 Epoch 7527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7527With loss 0.1267430099331721 epoch: 7528 Epoch 7528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7528With loss 0.1267430099331721 epoch: 7529 Epoch 7529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7529With loss 0.1267430099331721 epoch: 7530 Epoch 7530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7530With loss 0.1267430099331721 epoch: 7531 Epoch 7531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7531With loss 0.1267430099331721 epoch: 7532 Epoch 7532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7532With loss 0.1267430099331721 epoch: 7533 Epoch 7533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7533With loss 0.1267430099331721 epoch: 7534 Epoch 7534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7534With loss 0.1267430099331721 epoch: 7535 Epoch 7535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7535With loss 0.1267430099331721 epoch: 7536 Epoch 7536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7536With loss 0.1267430099331721 epoch: 7537 Epoch 7537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7537With loss 0.1267430099331721 epoch: 7538 Epoch 7538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7538With loss 0.1267430099331721 epoch: 7539 Epoch 7539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7539With loss 0.1267430099331721 epoch: 7540 Epoch 7540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7540With loss 0.1267430099331721 epoch: 7541 Epoch 7541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7541With loss 0.1267430099331721 epoch: 7542 Epoch 7542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7542With loss 0.1267430099331721 epoch: 7543 Epoch 7543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7543With loss 0.1267430099331721 epoch: 7544 Epoch 7544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7544With loss 0.1267430099331721 epoch: 7545 Epoch 7545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7545With loss 0.1267430099331721 epoch: 7546 Epoch 7546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7546With loss 0.1267430099331721 epoch: 7547 Epoch 7547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7547With loss 0.1267430099331721 epoch: 7548 Epoch 7548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7548With loss 0.1267430099331721 epoch: 7549 Epoch 7549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7549With loss 0.1267430099331721 epoch: 7550 Epoch 7550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7550With loss 0.1267430099331721 epoch: 7551 Epoch 7551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7551With loss 0.1267430099331721 epoch: 7552 Epoch 7552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7552With loss 0.1267430099331721 epoch: 7553 Epoch 7553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7553With loss 0.1267430099331721 epoch: 7554 Epoch 7554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7554With loss 0.1267430099331721 epoch: 7555 Epoch 7555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7555With loss 0.1267430099331721 epoch: 7556 Epoch 7556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7556With loss 0.1267430099331721 epoch: 7557 Epoch 7557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7557With loss 0.1267430099331721 epoch: 7558 Epoch 7558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7558With loss 0.1267430099331721 epoch: 7559 Epoch 7559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7559With loss 0.1267430099331721 epoch: 7560 Epoch 7560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7560With loss 0.1267430099331721 epoch: 7561 Epoch 7561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7561With loss 0.1267430099331721 epoch: 7562 Epoch 7562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7562With loss 0.1267430099331721 epoch: 7563 Epoch 7563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7563With loss 0.1267430099331721 epoch: 7564 Epoch 7564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7564With loss 0.1267430099331721 epoch: 7565 Epoch 7565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7565With loss 0.1267430099331721 epoch: 7566 Epoch 7566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7566With loss 0.1267430099331721 epoch: 7567 Epoch 7567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7567With loss 0.1267430099331721 epoch: 7568 Epoch 7568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7568With loss 0.1267430099331721 epoch: 7569 Epoch 7569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7569With loss 0.1267430099331721 epoch: 7570 Epoch 7570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7570With loss 0.1267430099331721 epoch: 7571 Epoch 7571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7571With loss 0.1267430099331721 epoch: 7572 Epoch 7572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7572With loss 0.1267430099331721 epoch: 7573 Epoch 7573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7573With loss 0.1267430099331721 epoch: 7574 Epoch 7574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7574With loss 0.1267430099331721 epoch: 7575 Epoch 7575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7575With loss 0.1267430099331721 epoch: 7576 Epoch 7576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7576With loss 0.1267430099331721 epoch: 7577 Epoch 7577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7577With loss 0.1267430099331721 epoch: 7578 Epoch 7578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7578With loss 0.1267430099331721 epoch: 7579 Epoch 7579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7579With loss 0.1267430099331721 epoch: 7580 Epoch 7580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7580With loss 0.1267430099331721 epoch: 7581 Epoch 7581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7581With loss 0.1267430099331721 epoch: 7582 Epoch 7582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7582With loss 0.1267430099331721 epoch: 7583 Epoch 7583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7583With loss 0.1267430099331721 epoch: 7584 Epoch 7584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7584With loss 0.1267430099331721 epoch: 7585 Epoch 7585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7585With loss 0.1267430099331721 epoch: 7586 Epoch 7586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7586With loss 0.1267430099331721 epoch: 7587 Epoch 7587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7587With loss 0.1267430099331721 epoch: 7588 Epoch 7588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7588With loss 0.1267430099331721 epoch: 7589 Epoch 7589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7589With loss 0.1267430099331721 epoch: 7590 Epoch 7590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7590With loss 0.1267430099331721 epoch: 7591 Epoch 7591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7591With loss 0.1267430099331721 epoch: 7592 Epoch 7592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7592With loss 0.1267430099331721 epoch: 7593 Epoch 7593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7593With loss 0.1267430099331721 epoch: 7594 Epoch 7594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7594With loss 0.1267430099331721 epoch: 7595 Epoch 7595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7595With loss 0.1267430099331721 epoch: 7596 Epoch 7596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7596With loss 0.1267430099331721 epoch: 7597 Epoch 7597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7597With loss 0.1267430099331721 epoch: 7598 Epoch 7598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7598With loss 0.1267430099331721 epoch: 7599 Epoch 7599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7599With loss 0.1267430099331721 epoch: 7600 Epoch 7600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7600With loss 0.1267430099331721 epoch: 7601 Epoch 7601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7601With loss 0.1267430099331721 epoch: 7602 Epoch 7602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7602With loss 0.1267430099331721 epoch: 7603 Epoch 7603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7603With loss 0.1267430099331721 epoch: 7604 Epoch 7604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7604With loss 0.1267430099331721 epoch: 7605 Epoch 7605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7605With loss 0.1267430099331721 epoch: 7606 Epoch 7606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7606With loss 0.1267430099331721 epoch: 7607 Epoch 7607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7607With loss 0.1267430099331721 epoch: 7608 Epoch 7608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7608With loss 0.1267430099331721 epoch: 7609 Epoch 7609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7609With loss 0.1267430099331721 epoch: 7610 Epoch 7610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7610With loss 0.1267430099331721 epoch: 7611 Epoch 7611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7611With loss 0.1267430099331721 epoch: 7612 Epoch 7612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7612With loss 0.1267430099331721 epoch: 7613 Epoch 7613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7613With loss 0.1267430099331721 epoch: 7614 Epoch 7614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7614With loss 0.1267430099331721 epoch: 7615 Epoch 7615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7615With loss 0.1267430099331721 epoch: 7616 Epoch 7616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7616With loss 0.1267430099331721 epoch: 7617 Epoch 7617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7617With loss 0.1267430099331721 epoch: 7618 Epoch 7618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7618With loss 0.1267430099331721 epoch: 7619 Epoch 7619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7619With loss 0.1267430099331721 epoch: 7620 Epoch 7620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7620With loss 0.1267430099331721 epoch: 7621 Epoch 7621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7621With loss 0.1267430099331721 epoch: 7622 Epoch 7622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7622With loss 0.1267430099331721 epoch: 7623 Epoch 7623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7623With loss 0.1267430099331721 epoch: 7624 Epoch 7624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7624With loss 0.1267430099331721 epoch: 7625 Epoch 7625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7625With loss 0.1267430099331721 epoch: 7626 Epoch 7626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7626With loss 0.1267430099331721 epoch: 7627 Epoch 7627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7627With loss 0.1267430099331721 epoch: 7628 Epoch 7628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7628With loss 0.1267430099331721 epoch: 7629 Epoch 7629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7629With loss 0.1267430099331721 epoch: 7630 Epoch 7630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7630With loss 0.1267430099331721 epoch: 7631 Epoch 7631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7631With loss 0.1267430099331721 epoch: 7632 Epoch 7632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7632With loss 0.1267430099331721 epoch: 7633 Epoch 7633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7633With loss 0.1267430099331721 epoch: 7634 Epoch 7634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7634With loss 0.1267430099331721 epoch: 7635 Epoch 7635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7635With loss 0.1267430099331721 epoch: 7636 Epoch 7636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7636With loss 0.1267430099331721 epoch: 7637 Epoch 7637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7637With loss 0.1267430099331721 epoch: 7638 Epoch 7638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7638With loss 0.1267430099331721 epoch: 7639 Epoch 7639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7639With loss 0.1267430099331721 epoch: 7640 Epoch 7640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7640With loss 0.1267430099331721 epoch: 7641 Epoch 7641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7641With loss 0.1267430099331721 epoch: 7642 Epoch 7642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7642With loss 0.1267430099331721 epoch: 7643 Epoch 7643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7643With loss 0.1267430099331721 epoch: 7644 Epoch 7644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7644With loss 0.1267430099331721 epoch: 7645 Epoch 7645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7645With loss 0.1267430099331721 epoch: 7646 Epoch 7646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7646With loss 0.1267430099331721 epoch: 7647 Epoch 7647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7647With loss 0.1267430099331721 epoch: 7648 Epoch 7648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7648With loss 0.1267430099331721 epoch: 7649 Epoch 7649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7649With loss 0.1267430099331721 epoch: 7650 Epoch 7650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7650With loss 0.1267430099331721 epoch: 7651 Epoch 7651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7651With loss 0.1267430099331721 epoch: 7652 Epoch 7652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7652With loss 0.1267430099331721 epoch: 7653 Epoch 7653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7653With loss 0.1267430099331721 epoch: 7654 Epoch 7654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7654With loss 0.1267430099331721 epoch: 7655 Epoch 7655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7655With loss 0.1267430099331721 epoch: 7656 Epoch 7656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7656With loss 0.1267430099331721 epoch: 7657 Epoch 7657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7657With loss 0.1267430099331721 epoch: 7658 Epoch 7658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7658With loss 0.1267430099331721 epoch: 7659 Epoch 7659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7659With loss 0.1267430099331721 epoch: 7660 Epoch 7660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7660With loss 0.1267430099331721 epoch: 7661 Epoch 7661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7661With loss 0.1267430099331721 epoch: 7662 Epoch 7662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7662With loss 0.1267430099331721 epoch: 7663 Epoch 7663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7663With loss 0.1267430099331721 epoch: 7664 Epoch 7664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7664With loss 0.1267430099331721 epoch: 7665 Epoch 7665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7665With loss 0.1267430099331721 epoch: 7666 Epoch 7666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7666With loss 0.1267430099331721 epoch: 7667 Epoch 7667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7667With loss 0.1267430099331721 epoch: 7668 Epoch 7668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7668With loss 0.1267430099331721 epoch: 7669 Epoch 7669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7669With loss 0.1267430099331721 epoch: 7670 Epoch 7670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7670With loss 0.1267430099331721 epoch: 7671 Epoch 7671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7671With loss 0.1267430099331721 epoch: 7672 Epoch 7672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7672With loss 0.1267430099331721 epoch: 7673 Epoch 7673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7673With loss 0.1267430099331721 epoch: 7674 Epoch 7674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7674With loss 0.1267430099331721 epoch: 7675 Epoch 7675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7675With loss 0.1267430099331721 epoch: 7676 Epoch 7676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7676With loss 0.1267430099331721 epoch: 7677 Epoch 7677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7677With loss 0.1267430099331721 epoch: 7678 Epoch 7678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7678With loss 0.1267430099331721 epoch: 7679 Epoch 7679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7679With loss 0.1267430099331721 epoch: 7680 Epoch 7680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7680With loss 0.1267430099331721 epoch: 7681 Epoch 7681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7681With loss 0.1267430099331721 epoch: 7682 Epoch 7682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7682With loss 0.1267430099331721 epoch: 7683 Epoch 7683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7683With loss 0.1267430099331721 epoch: 7684 Epoch 7684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7684With loss 0.1267430099331721 epoch: 7685 Epoch 7685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7685With loss 0.1267430099331721 epoch: 7686 Epoch 7686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7686With loss 0.1267430099331721 epoch: 7687 Epoch 7687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7687With loss 0.1267430099331721 epoch: 7688 Epoch 7688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7688With loss 0.1267430099331721 epoch: 7689 Epoch 7689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7689With loss 0.1267430099331721 epoch: 7690 Epoch 7690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7690With loss 0.1267430099331721 epoch: 7691 Epoch 7691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7691With loss 0.1267430099331721 epoch: 7692 Epoch 7692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7692With loss 0.1267430099331721 epoch: 7693 Epoch 7693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7693With loss 0.1267430099331721 epoch: 7694 Epoch 7694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7694With loss 0.1267430099331721 epoch: 7695 Epoch 7695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7695With loss 0.1267430099331721 epoch: 7696 Epoch 7696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7696With loss 0.1267430099331721 epoch: 7697 Epoch 7697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7697With loss 0.1267430099331721 epoch: 7698 Epoch 7698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7698With loss 0.1267430099331721 epoch: 7699 Epoch 7699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7699With loss 0.1267430099331721 epoch: 7700 Epoch 7700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7700With loss 0.1267430099331721 epoch: 7701 Epoch 7701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7701With loss 0.1267430099331721 epoch: 7702 Epoch 7702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7702With loss 0.1267430099331721 epoch: 7703 Epoch 7703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7703With loss 0.1267430099331721 epoch: 7704 Epoch 7704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7704With loss 0.1267430099331721 epoch: 7705 Epoch 7705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7705With loss 0.1267430099331721 epoch: 7706 Epoch 7706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7706With loss 0.1267430099331721 epoch: 7707 Epoch 7707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7707With loss 0.1267430099331721 epoch: 7708 Epoch 7708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7708With loss 0.1267430099331721 epoch: 7709 Epoch 7709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7709With loss 0.1267430099331721 epoch: 7710 Epoch 7710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7710With loss 0.1267430099331721 epoch: 7711 Epoch 7711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7711With loss 0.1267430099331721 epoch: 7712 Epoch 7712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7712With loss 0.1267430099331721 epoch: 7713 Epoch 7713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7713With loss 0.1267430099331721 epoch: 7714 Epoch 7714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7714With loss 0.1267430099331721 epoch: 7715 Epoch 7715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7715With loss 0.1267430099331721 epoch: 7716 Epoch 7716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7716With loss 0.1267430099331721 epoch: 7717 Epoch 7717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7717With loss 0.1267430099331721 epoch: 7718 Epoch 7718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7718With loss 0.1267430099331721 epoch: 7719 Epoch 7719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7719With loss 0.1267430099331721 epoch: 7720 Epoch 7720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7720With loss 0.1267430099331721 epoch: 7721 Epoch 7721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7721With loss 0.1267430099331721 epoch: 7722 Epoch 7722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7722With loss 0.1267430099331721 epoch: 7723 Epoch 7723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7723With loss 0.1267430099331721 epoch: 7724 Epoch 7724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7724With loss 0.1267430099331721 epoch: 7725 Epoch 7725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7725With loss 0.1267430099331721 epoch: 7726 Epoch 7726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7726With loss 0.1267430099331721 epoch: 7727 Epoch 7727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7727With loss 0.1267430099331721 epoch: 7728 Epoch 7728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7728With loss 0.1267430099331721 epoch: 7729 Epoch 7729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7729With loss 0.1267430099331721 epoch: 7730 Epoch 7730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7730With loss 0.1267430099331721 epoch: 7731 Epoch 7731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7731With loss 0.1267430099331721 epoch: 7732 Epoch 7732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7732With loss 0.1267430099331721 epoch: 7733 Epoch 7733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7733With loss 0.1267430099331721 epoch: 7734 Epoch 7734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7734With loss 0.1267430099331721 epoch: 7735 Epoch 7735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7735With loss 0.1267430099331721 epoch: 7736 Epoch 7736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7736With loss 0.1267430099331721 epoch: 7737 Epoch 7737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7737With loss 0.1267430099331721 epoch: 7738 Epoch 7738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7738With loss 0.1267430099331721 epoch: 7739 Epoch 7739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7739With loss 0.1267430099331721 epoch: 7740 Epoch 7740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7740With loss 0.1267430099331721 epoch: 7741 Epoch 7741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7741With loss 0.1267430099331721 epoch: 7742 Epoch 7742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7742With loss 0.1267430099331721 epoch: 7743 Epoch 7743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7743With loss 0.1267430099331721 epoch: 7744 Epoch 7744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7744With loss 0.1267430099331721 epoch: 7745 Epoch 7745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7745With loss 0.1267430099331721 epoch: 7746 Epoch 7746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7746With loss 0.1267430099331721 epoch: 7747 Epoch 7747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7747With loss 0.1267430099331721 epoch: 7748 Epoch 7748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7748With loss 0.1267430099331721 epoch: 7749 Epoch 7749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7749With loss 0.1267430099331721 epoch: 7750 Epoch 7750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7750With loss 0.1267430099331721 epoch: 7751 Epoch 7751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7751With loss 0.1267430099331721 epoch: 7752 Epoch 7752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7752With loss 0.1267430099331721 epoch: 7753 Epoch 7753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7753With loss 0.1267430099331721 epoch: 7754 Epoch 7754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7754With loss 0.1267430099331721 epoch: 7755 Epoch 7755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7755With loss 0.1267430099331721 epoch: 7756 Epoch 7756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7756With loss 0.1267430099331721 epoch: 7757 Epoch 7757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7757With loss 0.1267430099331721 epoch: 7758 Epoch 7758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7758With loss 0.1267430099331721 epoch: 7759 Epoch 7759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7759With loss 0.1267430099331721 epoch: 7760 Epoch 7760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7760With loss 0.1267430099331721 epoch: 7761 Epoch 7761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7761With loss 0.1267430099331721 epoch: 7762 Epoch 7762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7762With loss 0.1267430099331721 epoch: 7763 Epoch 7763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7763With loss 0.1267430099331721 epoch: 7764 Epoch 7764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7764With loss 0.1267430099331721 epoch: 7765 Epoch 7765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7765With loss 0.1267430099331721 epoch: 7766 Epoch 7766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7766With loss 0.1267430099331721 epoch: 7767 Epoch 7767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7767With loss 0.1267430099331721 epoch: 7768 Epoch 7768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7768With loss 0.1267430099331721 epoch: 7769 Epoch 7769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7769With loss 0.1267430099331721 epoch: 7770 Epoch 7770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7770With loss 0.1267430099331721 epoch: 7771 Epoch 7771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7771With loss 0.1267430099331721 epoch: 7772 Epoch 7772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7772With loss 0.1267430099331721 epoch: 7773 Epoch 7773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7773With loss 0.1267430099331721 epoch: 7774 Epoch 7774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7774With loss 0.1267430099331721 epoch: 7775 Epoch 7775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7775With loss 0.1267430099331721 epoch: 7776 Epoch 7776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7776With loss 0.1267430099331721 epoch: 7777 Epoch 7777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7777With loss 0.1267430099331721 epoch: 7778 Epoch 7778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7778With loss 0.1267430099331721 epoch: 7779 Epoch 7779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7779With loss 0.1267430099331721 epoch: 7780 Epoch 7780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7780With loss 0.1267430099331721 epoch: 7781 Epoch 7781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7781With loss 0.1267430099331721 epoch: 7782 Epoch 7782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7782With loss 0.1267430099331721 epoch: 7783 Epoch 7783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7783With loss 0.1267430099331721 epoch: 7784 Epoch 7784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7784With loss 0.1267430099331721 epoch: 7785 Epoch 7785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7785With loss 0.1267430099331721 epoch: 7786 Epoch 7786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7786With loss 0.1267430099331721 epoch: 7787 Epoch 7787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7787With loss 0.1267430099331721 epoch: 7788 Epoch 7788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7788With loss 0.1267430099331721 epoch: 7789 Epoch 7789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7789With loss 0.1267430099331721 epoch: 7790 Epoch 7790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7790With loss 0.1267430099331721 epoch: 7791 Epoch 7791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7791With loss 0.1267430099331721 epoch: 7792 Epoch 7792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7792With loss 0.1267430099331721 epoch: 7793 Epoch 7793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7793With loss 0.1267430099331721 epoch: 7794 Epoch 7794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7794With loss 0.1267430099331721 epoch: 7795 Epoch 7795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7795With loss 0.1267430099331721 epoch: 7796 Epoch 7796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7796With loss 0.1267430099331721 epoch: 7797 Epoch 7797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7797With loss 0.1267430099331721 epoch: 7798 Epoch 7798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7798With loss 0.1267430099331721 epoch: 7799 Epoch 7799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7799With loss 0.1267430099331721 epoch: 7800 Epoch 7800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7800With loss 0.1267430099331721 epoch: 7801 Epoch 7801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7801With loss 0.1267430099331721 epoch: 7802 Epoch 7802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7802With loss 0.1267430099331721 epoch: 7803 Epoch 7803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7803With loss 0.1267430099331721 epoch: 7804 Epoch 7804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7804With loss 0.1267430099331721 epoch: 7805 Epoch 7805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7805With loss 0.1267430099331721 epoch: 7806 Epoch 7806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7806With loss 0.1267430099331721 epoch: 7807 Epoch 7807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7807With loss 0.1267430099331721 epoch: 7808 Epoch 7808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7808With loss 0.1267430099331721 epoch: 7809 Epoch 7809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7809With loss 0.1267430099331721 epoch: 7810 Epoch 7810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7810With loss 0.1267430099331721 epoch: 7811 Epoch 7811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7811With loss 0.1267430099331721 epoch: 7812 Epoch 7812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7812With loss 0.1267430099331721 epoch: 7813 Epoch 7813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7813With loss 0.1267430099331721 epoch: 7814 Epoch 7814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7814With loss 0.1267430099331721 epoch: 7815 Epoch 7815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7815With loss 0.1267430099331721 epoch: 7816 Epoch 7816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7816With loss 0.1267430099331721 epoch: 7817 Epoch 7817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7817With loss 0.1267430099331721 epoch: 7818 Epoch 7818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7818With loss 0.1267430099331721 epoch: 7819 Epoch 7819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7819With loss 0.1267430099331721 epoch: 7820 Epoch 7820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7820With loss 0.1267430099331721 epoch: 7821 Epoch 7821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7821With loss 0.1267430099331721 epoch: 7822 Epoch 7822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7822With loss 0.1267430099331721 epoch: 7823 Epoch 7823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7823With loss 0.1267430099331721 epoch: 7824 Epoch 7824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7824With loss 0.1267430099331721 epoch: 7825 Epoch 7825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7825With loss 0.1267430099331721 epoch: 7826 Epoch 7826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7826With loss 0.1267430099331721 epoch: 7827 Epoch 7827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7827With loss 0.1267430099331721 epoch: 7828 Epoch 7828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7828With loss 0.1267430099331721 epoch: 7829 Epoch 7829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7829With loss 0.1267430099331721 epoch: 7830 Epoch 7830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7830With loss 0.1267430099331721 epoch: 7831 Epoch 7831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7831With loss 0.1267430099331721 epoch: 7832 Epoch 7832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7832With loss 0.1267430099331721 epoch: 7833 Epoch 7833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7833With loss 0.1267430099331721 epoch: 7834 Epoch 7834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7834With loss 0.1267430099331721 epoch: 7835 Epoch 7835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7835With loss 0.1267430099331721 epoch: 7836 Epoch 7836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7836With loss 0.1267430099331721 epoch: 7837 Epoch 7837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7837With loss 0.1267430099331721 epoch: 7838 Epoch 7838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7838With loss 0.1267430099331721 epoch: 7839 Epoch 7839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7839With loss 0.1267430099331721 epoch: 7840 Epoch 7840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7840With loss 0.1267430099331721 epoch: 7841 Epoch 7841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7841With loss 0.1267430099331721 epoch: 7842 Epoch 7842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7842With loss 0.1267430099331721 epoch: 7843 Epoch 7843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7843With loss 0.1267430099331721 epoch: 7844 Epoch 7844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7844With loss 0.1267430099331721 epoch: 7845 Epoch 7845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7845With loss 0.1267430099331721 epoch: 7846 Epoch 7846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7846With loss 0.1267430099331721 epoch: 7847 Epoch 7847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7847With loss 0.1267430099331721 epoch: 7848 Epoch 7848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7848With loss 0.1267430099331721 epoch: 7849 Epoch 7849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7849With loss 0.1267430099331721 epoch: 7850 Epoch 7850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7850With loss 0.1267430099331721 epoch: 7851 Epoch 7851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7851With loss 0.1267430099331721 epoch: 7852 Epoch 7852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7852With loss 0.1267430099331721 epoch: 7853 Epoch 7853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7853With loss 0.1267430099331721 epoch: 7854 Epoch 7854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7854With loss 0.1267430099331721 epoch: 7855 Epoch 7855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7855With loss 0.1267430099331721 epoch: 7856 Epoch 7856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7856With loss 0.1267430099331721 epoch: 7857 Epoch 7857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7857With loss 0.1267430099331721 epoch: 7858 Epoch 7858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7858With loss 0.1267430099331721 epoch: 7859 Epoch 7859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7859With loss 0.1267430099331721 epoch: 7860 Epoch 7860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7860With loss 0.1267430099331721 epoch: 7861 Epoch 7861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7861With loss 0.1267430099331721 epoch: 7862 Epoch 7862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7862With loss 0.1267430099331721 epoch: 7863 Epoch 7863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7863With loss 0.1267430099331721 epoch: 7864 Epoch 7864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7864With loss 0.1267430099331721 epoch: 7865 Epoch 7865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7865With loss 0.1267430099331721 epoch: 7866 Epoch 7866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7866With loss 0.1267430099331721 epoch: 7867 Epoch 7867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7867With loss 0.1267430099331721 epoch: 7868 Epoch 7868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7868With loss 0.1267430099331721 epoch: 7869 Epoch 7869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7869With loss 0.1267430099331721 epoch: 7870 Epoch 7870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7870With loss 0.1267430099331721 epoch: 7871 Epoch 7871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7871With loss 0.1267430099331721 epoch: 7872 Epoch 7872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7872With loss 0.1267430099331721 epoch: 7873 Epoch 7873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7873With loss 0.1267430099331721 epoch: 7874 Epoch 7874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7874With loss 0.1267430099331721 epoch: 7875 Epoch 7875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7875With loss 0.1267430099331721 epoch: 7876 Epoch 7876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7876With loss 0.1267430099331721 epoch: 7877 Epoch 7877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7877With loss 0.1267430099331721 epoch: 7878 Epoch 7878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7878With loss 0.1267430099331721 epoch: 7879 Epoch 7879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7879With loss 0.1267430099331721 epoch: 7880 Epoch 7880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7880With loss 0.1267430099331721 epoch: 7881 Epoch 7881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7881With loss 0.1267430099331721 epoch: 7882 Epoch 7882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7882With loss 0.1267430099331721 epoch: 7883 Epoch 7883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7883With loss 0.1267430099331721 epoch: 7884 Epoch 7884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7884With loss 0.1267430099331721 epoch: 7885 Epoch 7885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7885With loss 0.1267430099331721 epoch: 7886 Epoch 7886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7886With loss 0.1267430099331721 epoch: 7887 Epoch 7887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7887With loss 0.1267430099331721 epoch: 7888 Epoch 7888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7888With loss 0.1267430099331721 epoch: 7889 Epoch 7889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7889With loss 0.1267430099331721 epoch: 7890 Epoch 7890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7890With loss 0.1267430099331721 epoch: 7891 Epoch 7891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7891With loss 0.1267430099331721 epoch: 7892 Epoch 7892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7892With loss 0.1267430099331721 epoch: 7893 Epoch 7893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7893With loss 0.1267430099331721 epoch: 7894 Epoch 7894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7894With loss 0.1267430099331721 epoch: 7895 Epoch 7895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7895With loss 0.1267430099331721 epoch: 7896 Epoch 7896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7896With loss 0.1267430099331721 epoch: 7897 Epoch 7897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7897With loss 0.1267430099331721 epoch: 7898 Epoch 7898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7898With loss 0.1267430099331721 epoch: 7899 Epoch 7899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7899With loss 0.1267430099331721 epoch: 7900 Epoch 7900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7900With loss 0.1267430099331721 epoch: 7901 Epoch 7901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7901With loss 0.1267430099331721 epoch: 7902 Epoch 7902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7902With loss 0.1267430099331721 epoch: 7903 Epoch 7903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7903With loss 0.1267430099331721 epoch: 7904 Epoch 7904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7904With loss 0.1267430099331721 epoch: 7905 Epoch 7905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7905With loss 0.1267430099331721 epoch: 7906 Epoch 7906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7906With loss 0.1267430099331721 epoch: 7907 Epoch 7907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7907With loss 0.1267430099331721 epoch: 7908 Epoch 7908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7908With loss 0.1267430099331721 epoch: 7909 Epoch 7909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7909With loss 0.1267430099331721 epoch: 7910 Epoch 7910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7910With loss 0.1267430099331721 epoch: 7911 Epoch 7911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7911With loss 0.1267430099331721 epoch: 7912 Epoch 7912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7912With loss 0.1267430099331721 epoch: 7913 Epoch 7913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7913With loss 0.1267430099331721 epoch: 7914 Epoch 7914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7914With loss 0.1267430099331721 epoch: 7915 Epoch 7915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7915With loss 0.1267430099331721 epoch: 7916 Epoch 7916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7916With loss 0.1267430099331721 epoch: 7917 Epoch 7917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7917With loss 0.1267430099331721 epoch: 7918 Epoch 7918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7918With loss 0.1267430099331721 epoch: 7919 Epoch 7919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7919With loss 0.1267430099331721 epoch: 7920 Epoch 7920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7920With loss 0.1267430099331721 epoch: 7921 Epoch 7921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7921With loss 0.1267430099331721 epoch: 7922 Epoch 7922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7922With loss 0.1267430099331721 epoch: 7923 Epoch 7923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7923With loss 0.1267430099331721 epoch: 7924 Epoch 7924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7924With loss 0.1267430099331721 epoch: 7925 Epoch 7925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7925With loss 0.1267430099331721 epoch: 7926 Epoch 7926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7926With loss 0.1267430099331721 epoch: 7927 Epoch 7927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7927With loss 0.1267430099331721 epoch: 7928 Epoch 7928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7928With loss 0.1267430099331721 epoch: 7929 Epoch 7929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7929With loss 0.1267430099331721 epoch: 7930 Epoch 7930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7930With loss 0.1267430099331721 epoch: 7931 Epoch 7931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7931With loss 0.1267430099331721 epoch: 7932 Epoch 7932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7932With loss 0.1267430099331721 epoch: 7933 Epoch 7933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7933With loss 0.1267430099331721 epoch: 7934 Epoch 7934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7934With loss 0.1267430099331721 epoch: 7935 Epoch 7935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7935With loss 0.1267430099331721 epoch: 7936 Epoch 7936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7936With loss 0.1267430099331721 epoch: 7937 Epoch 7937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7937With loss 0.1267430099331721 epoch: 7938 Epoch 7938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7938With loss 0.1267430099331721 epoch: 7939 Epoch 7939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7939With loss 0.1267430099331721 epoch: 7940 Epoch 7940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7940With loss 0.1267430099331721 epoch: 7941 Epoch 7941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7941With loss 0.1267430099331721 epoch: 7942 Epoch 7942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7942With loss 0.1267430099331721 epoch: 7943 Epoch 7943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7943With loss 0.1267430099331721 epoch: 7944 Epoch 7944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7944With loss 0.1267430099331721 epoch: 7945 Epoch 7945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7945With loss 0.1267430099331721 epoch: 7946 Epoch 7946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7946With loss 0.1267430099331721 epoch: 7947 Epoch 7947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7947With loss 0.1267430099331721 epoch: 7948 Epoch 7948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7948With loss 0.1267430099331721 epoch: 7949 Epoch 7949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7949With loss 0.1267430099331721 epoch: 7950 Epoch 7950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7950With loss 0.1267430099331721 epoch: 7951 Epoch 7951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7951With loss 0.1267430099331721 epoch: 7952 Epoch 7952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7952With loss 0.1267430099331721 epoch: 7953 Epoch 7953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7953With loss 0.1267430099331721 epoch: 7954 Epoch 7954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7954With loss 0.1267430099331721 epoch: 7955 Epoch 7955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7955With loss 0.1267430099331721 epoch: 7956 Epoch 7956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7956With loss 0.1267430099331721 epoch: 7957 Epoch 7957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7957With loss 0.1267430099331721 epoch: 7958 Epoch 7958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7958With loss 0.1267430099331721 epoch: 7959 Epoch 7959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7959With loss 0.1267430099331721 epoch: 7960 Epoch 7960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7960With loss 0.1267430099331721 epoch: 7961 Epoch 7961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7961With loss 0.1267430099331721 epoch: 7962 Epoch 7962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7962With loss 0.1267430099331721 epoch: 7963 Epoch 7963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7963With loss 0.1267430099331721 epoch: 7964 Epoch 7964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7964With loss 0.1267430099331721 epoch: 7965 Epoch 7965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7965With loss 0.1267430099331721 epoch: 7966 Epoch 7966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7966With loss 0.1267430099331721 epoch: 7967 Epoch 7967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7967With loss 0.1267430099331721 epoch: 7968 Epoch 7968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7968With loss 0.1267430099331721 epoch: 7969 Epoch 7969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7969With loss 0.1267430099331721 epoch: 7970 Epoch 7970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7970With loss 0.1267430099331721 epoch: 7971 Epoch 7971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7971With loss 0.1267430099331721 epoch: 7972 Epoch 7972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7972With loss 0.1267430099331721 epoch: 7973 Epoch 7973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7973With loss 0.1267430099331721 epoch: 7974 Epoch 7974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7974With loss 0.1267430099331721 epoch: 7975 Epoch 7975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7975With loss 0.1267430099331721 epoch: 7976 Epoch 7976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7976With loss 0.1267430099331721 epoch: 7977 Epoch 7977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7977With loss 0.1267430099331721 epoch: 7978 Epoch 7978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7978With loss 0.1267430099331721 epoch: 7979 Epoch 7979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7979With loss 0.1267430099331721 epoch: 7980 Epoch 7980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7980With loss 0.1267430099331721 epoch: 7981 Epoch 7981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7981With loss 0.1267430099331721 epoch: 7982 Epoch 7982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7982With loss 0.1267430099331721 epoch: 7983 Epoch 7983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7983With loss 0.1267430099331721 epoch: 7984 Epoch 7984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7984With loss 0.1267430099331721 epoch: 7985 Epoch 7985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7985With loss 0.1267430099331721 epoch: 7986 Epoch 7986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7986With loss 0.1267430099331721 epoch: 7987 Epoch 7987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7987With loss 0.1267430099331721 epoch: 7988 Epoch 7988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7988With loss 0.1267430099331721 epoch: 7989 Epoch 7989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7989With loss 0.1267430099331721 epoch: 7990 Epoch 7990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7990With loss 0.1267430099331721 epoch: 7991 Epoch 7991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7991With loss 0.1267430099331721 epoch: 7992 Epoch 7992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7992With loss 0.1267430099331721 epoch: 7993 Epoch 7993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7993With loss 0.1267430099331721 epoch: 7994 Epoch 7994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7994With loss 0.1267430099331721 epoch: 7995 Epoch 7995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7995With loss 0.1267430099331721 epoch: 7996 Epoch 7996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7996With loss 0.1267430099331721 epoch: 7997 Epoch 7997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7997With loss 0.1267430099331721 epoch: 7998 Epoch 7998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7998With loss 0.1267430099331721 epoch: 7999 Epoch 7999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 7999With loss 0.1267430099331721 epoch: 8000 Epoch 8000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8000With loss 0.1267430099331721 epoch: 8001 Epoch 8001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8001With loss 0.1267430099331721 epoch: 8002 Epoch 8002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8002With loss 0.1267430099331721 epoch: 8003 Epoch 8003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8003With loss 0.1267430099331721 epoch: 8004 Epoch 8004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8004With loss 0.1267430099331721 epoch: 8005 Epoch 8005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8005With loss 0.1267430099331721 epoch: 8006 Epoch 8006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8006With loss 0.1267430099331721 epoch: 8007 Epoch 8007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8007With loss 0.1267430099331721 epoch: 8008 Epoch 8008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8008With loss 0.1267430099331721 epoch: 8009 Epoch 8009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8009With loss 0.1267430099331721 epoch: 8010 Epoch 8010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8010With loss 0.1267430099331721 epoch: 8011 Epoch 8011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8011With loss 0.1267430099331721 epoch: 8012 Epoch 8012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8012With loss 0.1267430099331721 epoch: 8013 Epoch 8013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8013With loss 0.1267430099331721 epoch: 8014 Epoch 8014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8014With loss 0.1267430099331721 epoch: 8015 Epoch 8015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8015With loss 0.1267430099331721 epoch: 8016 Epoch 8016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8016With loss 0.1267430099331721 epoch: 8017 Epoch 8017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8017With loss 0.1267430099331721 epoch: 8018 Epoch 8018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8018With loss 0.1267430099331721 epoch: 8019 Epoch 8019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8019With loss 0.1267430099331721 epoch: 8020 Epoch 8020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8020With loss 0.1267430099331721 epoch: 8021 Epoch 8021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8021With loss 0.1267430099331721 epoch: 8022 Epoch 8022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8022With loss 0.1267430099331721 epoch: 8023 Epoch 8023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8023With loss 0.1267430099331721 epoch: 8024 Epoch 8024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8024With loss 0.1267430099331721 epoch: 8025 Epoch 8025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8025With loss 0.1267430099331721 epoch: 8026 Epoch 8026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8026With loss 0.1267430099331721 epoch: 8027 Epoch 8027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8027With loss 0.1267430099331721 epoch: 8028 Epoch 8028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8028With loss 0.1267430099331721 epoch: 8029 Epoch 8029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8029With loss 0.1267430099331721 epoch: 8030 Epoch 8030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8030With loss 0.1267430099331721 epoch: 8031 Epoch 8031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8031With loss 0.1267430099331721 epoch: 8032 Epoch 8032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8032With loss 0.1267430099331721 epoch: 8033 Epoch 8033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8033With loss 0.1267430099331721 epoch: 8034 Epoch 8034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8034With loss 0.1267430099331721 epoch: 8035 Epoch 8035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8035With loss 0.1267430099331721 epoch: 8036 Epoch 8036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8036With loss 0.1267430099331721 epoch: 8037 Epoch 8037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8037With loss 0.1267430099331721 epoch: 8038 Epoch 8038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8038With loss 0.1267430099331721 epoch: 8039 Epoch 8039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8039With loss 0.1267430099331721 epoch: 8040 Epoch 8040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8040With loss 0.1267430099331721 epoch: 8041 Epoch 8041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8041With loss 0.1267430099331721 epoch: 8042 Epoch 8042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8042With loss 0.1267430099331721 epoch: 8043 Epoch 8043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8043With loss 0.1267430099331721 epoch: 8044 Epoch 8044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8044With loss 0.1267430099331721 epoch: 8045 Epoch 8045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8045With loss 0.1267430099331721 epoch: 8046 Epoch 8046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8046With loss 0.1267430099331721 epoch: 8047 Epoch 8047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8047With loss 0.1267430099331721 epoch: 8048 Epoch 8048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8048With loss 0.1267430099331721 epoch: 8049 Epoch 8049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8049With loss 0.1267430099331721 epoch: 8050 Epoch 8050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8050With loss 0.1267430099331721 epoch: 8051 Epoch 8051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8051With loss 0.1267430099331721 epoch: 8052 Epoch 8052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8052With loss 0.1267430099331721 epoch: 8053 Epoch 8053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8053With loss 0.1267430099331721 epoch: 8054 Epoch 8054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8054With loss 0.1267430099331721 epoch: 8055 Epoch 8055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8055With loss 0.1267430099331721 epoch: 8056 Epoch 8056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8056With loss 0.1267430099331721 epoch: 8057 Epoch 8057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8057With loss 0.1267430099331721 epoch: 8058 Epoch 8058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8058With loss 0.1267430099331721 epoch: 8059 Epoch 8059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8059With loss 0.1267430099331721 epoch: 8060 Epoch 8060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8060With loss 0.1267430099331721 epoch: 8061 Epoch 8061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8061With loss 0.1267430099331721 epoch: 8062 Epoch 8062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8062With loss 0.1267430099331721 epoch: 8063 Epoch 8063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8063With loss 0.1267430099331721 epoch: 8064 Epoch 8064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8064With loss 0.1267430099331721 epoch: 8065 Epoch 8065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8065With loss 0.1267430099331721 epoch: 8066 Epoch 8066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8066With loss 0.1267430099331721 epoch: 8067 Epoch 8067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8067With loss 0.1267430099331721 epoch: 8068 Epoch 8068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8068With loss 0.1267430099331721 epoch: 8069 Epoch 8069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8069With loss 0.1267430099331721 epoch: 8070 Epoch 8070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8070With loss 0.1267430099331721 epoch: 8071 Epoch 8071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8071With loss 0.1267430099331721 epoch: 8072 Epoch 8072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8072With loss 0.1267430099331721 epoch: 8073 Epoch 8073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8073With loss 0.1267430099331721 epoch: 8074 Epoch 8074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8074With loss 0.1267430099331721 epoch: 8075 Epoch 8075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8075With loss 0.1267430099331721 epoch: 8076 Epoch 8076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8076With loss 0.1267430099331721 epoch: 8077 Epoch 8077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8077With loss 0.1267430099331721 epoch: 8078 Epoch 8078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8078With loss 0.1267430099331721 epoch: 8079 Epoch 8079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8079With loss 0.1267430099331721 epoch: 8080 Epoch 8080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8080With loss 0.1267430099331721 epoch: 8081 Epoch 8081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8081With loss 0.1267430099331721 epoch: 8082 Epoch 8082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8082With loss 0.1267430099331721 epoch: 8083 Epoch 8083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8083With loss 0.1267430099331721 epoch: 8084 Epoch 8084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8084With loss 0.1267430099331721 epoch: 8085 Epoch 8085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8085With loss 0.1267430099331721 epoch: 8086 Epoch 8086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8086With loss 0.1267430099331721 epoch: 8087 Epoch 8087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8087With loss 0.1267430099331721 epoch: 8088 Epoch 8088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8088With loss 0.1267430099331721 epoch: 8089 Epoch 8089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8089With loss 0.1267430099331721 epoch: 8090 Epoch 8090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8090With loss 0.1267430099331721 epoch: 8091 Epoch 8091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8091With loss 0.1267430099331721 epoch: 8092 Epoch 8092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8092With loss 0.1267430099331721 epoch: 8093 Epoch 8093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8093With loss 0.1267430099331721 epoch: 8094 Epoch 8094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8094With loss 0.1267430099331721 epoch: 8095 Epoch 8095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8095With loss 0.1267430099331721 epoch: 8096 Epoch 8096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8096With loss 0.1267430099331721 epoch: 8097 Epoch 8097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8097With loss 0.1267430099331721 epoch: 8098 Epoch 8098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8098With loss 0.1267430099331721 epoch: 8099 Epoch 8099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8099With loss 0.1267430099331721 epoch: 8100 Epoch 8100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8100With loss 0.1267430099331721 epoch: 8101 Epoch 8101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8101With loss 0.1267430099331721 epoch: 8102 Epoch 8102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8102With loss 0.1267430099331721 epoch: 8103 Epoch 8103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8103With loss 0.1267430099331721 epoch: 8104 Epoch 8104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8104With loss 0.1267430099331721 epoch: 8105 Epoch 8105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8105With loss 0.1267430099331721 epoch: 8106 Epoch 8106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8106With loss 0.1267430099331721 epoch: 8107 Epoch 8107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8107With loss 0.1267430099331721 epoch: 8108 Epoch 8108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8108With loss 0.1267430099331721 epoch: 8109 Epoch 8109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8109With loss 0.1267430099331721 epoch: 8110 Epoch 8110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8110With loss 0.1267430099331721 epoch: 8111 Epoch 8111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8111With loss 0.1267430099331721 epoch: 8112 Epoch 8112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8112With loss 0.1267430099331721 epoch: 8113 Epoch 8113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8113With loss 0.1267430099331721 epoch: 8114 Epoch 8114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8114With loss 0.1267430099331721 epoch: 8115 Epoch 8115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8115With loss 0.1267430099331721 epoch: 8116 Epoch 8116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8116With loss 0.1267430099331721 epoch: 8117 Epoch 8117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8117With loss 0.1267430099331721 epoch: 8118 Epoch 8118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8118With loss 0.1267430099331721 epoch: 8119 Epoch 8119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8119With loss 0.1267430099331721 epoch: 8120 Epoch 8120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8120With loss 0.1267430099331721 epoch: 8121 Epoch 8121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8121With loss 0.1267430099331721 epoch: 8122 Epoch 8122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8122With loss 0.1267430099331721 epoch: 8123 Epoch 8123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8123With loss 0.1267430099331721 epoch: 8124 Epoch 8124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8124With loss 0.1267430099331721 epoch: 8125 Epoch 8125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8125With loss 0.1267430099331721 epoch: 8126 Epoch 8126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8126With loss 0.1267430099331721 epoch: 8127 Epoch 8127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8127With loss 0.1267430099331721 epoch: 8128 Epoch 8128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8128With loss 0.1267430099331721 epoch: 8129 Epoch 8129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8129With loss 0.1267430099331721 epoch: 8130 Epoch 8130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8130With loss 0.1267430099331721 epoch: 8131 Epoch 8131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8131With loss 0.1267430099331721 epoch: 8132 Epoch 8132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8132With loss 0.1267430099331721 epoch: 8133 Epoch 8133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8133With loss 0.1267430099331721 epoch: 8134 Epoch 8134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8134With loss 0.1267430099331721 epoch: 8135 Epoch 8135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8135With loss 0.1267430099331721 epoch: 8136 Epoch 8136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8136With loss 0.1267430099331721 epoch: 8137 Epoch 8137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8137With loss 0.1267430099331721 epoch: 8138 Epoch 8138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8138With loss 0.1267430099331721 epoch: 8139 Epoch 8139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8139With loss 0.1267430099331721 epoch: 8140 Epoch 8140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8140With loss 0.1267430099331721 epoch: 8141 Epoch 8141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8141With loss 0.1267430099331721 epoch: 8142 Epoch 8142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8142With loss 0.1267430099331721 epoch: 8143 Epoch 8143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8143With loss 0.1267430099331721 epoch: 8144 Epoch 8144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8144With loss 0.1267430099331721 epoch: 8145 Epoch 8145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8145With loss 0.1267430099331721 epoch: 8146 Epoch 8146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8146With loss 0.1267430099331721 epoch: 8147 Epoch 8147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8147With loss 0.1267430099331721 epoch: 8148 Epoch 8148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8148With loss 0.1267430099331721 epoch: 8149 Epoch 8149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8149With loss 0.1267430099331721 epoch: 8150 Epoch 8150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8150With loss 0.1267430099331721 epoch: 8151 Epoch 8151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8151With loss 0.1267430099331721 epoch: 8152 Epoch 8152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8152With loss 0.1267430099331721 epoch: 8153 Epoch 8153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8153With loss 0.1267430099331721 epoch: 8154 Epoch 8154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8154With loss 0.1267430099331721 epoch: 8155 Epoch 8155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8155With loss 0.1267430099331721 epoch: 8156 Epoch 8156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8156With loss 0.1267430099331721 epoch: 8157 Epoch 8157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8157With loss 0.1267430099331721 epoch: 8158 Epoch 8158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8158With loss 0.1267430099331721 epoch: 8159 Epoch 8159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8159With loss 0.1267430099331721 epoch: 8160 Epoch 8160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8160With loss 0.1267430099331721 epoch: 8161 Epoch 8161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8161With loss 0.1267430099331721 epoch: 8162 Epoch 8162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8162With loss 0.1267430099331721 epoch: 8163 Epoch 8163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8163With loss 0.1267430099331721 epoch: 8164 Epoch 8164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8164With loss 0.1267430099331721 epoch: 8165 Epoch 8165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8165With loss 0.1267430099331721 epoch: 8166 Epoch 8166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8166With loss 0.1267430099331721 epoch: 8167 Epoch 8167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8167With loss 0.1267430099331721 epoch: 8168 Epoch 8168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8168With loss 0.1267430099331721 epoch: 8169 Epoch 8169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8169With loss 0.1267430099331721 epoch: 8170 Epoch 8170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8170With loss 0.1267430099331721 epoch: 8171 Epoch 8171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8171With loss 0.1267430099331721 epoch: 8172 Epoch 8172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8172With loss 0.1267430099331721 epoch: 8173 Epoch 8173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8173With loss 0.1267430099331721 epoch: 8174 Epoch 8174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8174With loss 0.1267430099331721 epoch: 8175 Epoch 8175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8175With loss 0.1267430099331721 epoch: 8176 Epoch 8176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8176With loss 0.1267430099331721 epoch: 8177 Epoch 8177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8177With loss 0.1267430099331721 epoch: 8178 Epoch 8178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8178With loss 0.1267430099331721 epoch: 8179 Epoch 8179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8179With loss 0.1267430099331721 epoch: 8180 Epoch 8180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8180With loss 0.1267430099331721 epoch: 8181 Epoch 8181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8181With loss 0.1267430099331721 epoch: 8182 Epoch 8182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8182With loss 0.1267430099331721 epoch: 8183 Epoch 8183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8183With loss 0.1267430099331721 epoch: 8184 Epoch 8184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8184With loss 0.1267430099331721 epoch: 8185 Epoch 8185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8185With loss 0.1267430099331721 epoch: 8186 Epoch 8186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8186With loss 0.1267430099331721 epoch: 8187 Epoch 8187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8187With loss 0.1267430099331721 epoch: 8188 Epoch 8188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8188With loss 0.1267430099331721 epoch: 8189 Epoch 8189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8189With loss 0.1267430099331721 epoch: 8190 Epoch 8190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8190With loss 0.1267430099331721 epoch: 8191 Epoch 8191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8191With loss 0.1267430099331721 epoch: 8192 Epoch 8192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8192With loss 0.1267430099331721 epoch: 8193 Epoch 8193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8193With loss 0.1267430099331721 epoch: 8194 Epoch 8194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8194With loss 0.1267430099331721 epoch: 8195 Epoch 8195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8195With loss 0.1267430099331721 epoch: 8196 Epoch 8196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8196With loss 0.1267430099331721 epoch: 8197 Epoch 8197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8197With loss 0.1267430099331721 epoch: 8198 Epoch 8198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8198With loss 0.1267430099331721 epoch: 8199 Epoch 8199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8199With loss 0.1267430099331721 epoch: 8200 Epoch 8200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8200With loss 0.1267430099331721 epoch: 8201 Epoch 8201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8201With loss 0.1267430099331721 epoch: 8202 Epoch 8202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8202With loss 0.1267430099331721 epoch: 8203 Epoch 8203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8203With loss 0.1267430099331721 epoch: 8204 Epoch 8204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8204With loss 0.1267430099331721 epoch: 8205 Epoch 8205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8205With loss 0.1267430099331721 epoch: 8206 Epoch 8206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8206With loss 0.1267430099331721 epoch: 8207 Epoch 8207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8207With loss 0.1267430099331721 epoch: 8208 Epoch 8208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8208With loss 0.1267430099331721 epoch: 8209 Epoch 8209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8209With loss 0.1267430099331721 epoch: 8210 Epoch 8210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8210With loss 0.1267430099331721 epoch: 8211 Epoch 8211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8211With loss 0.1267430099331721 epoch: 8212 Epoch 8212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8212With loss 0.1267430099331721 epoch: 8213 Epoch 8213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8213With loss 0.1267430099331721 epoch: 8214 Epoch 8214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8214With loss 0.1267430099331721 epoch: 8215 Epoch 8215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8215With loss 0.1267430099331721 epoch: 8216 Epoch 8216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8216With loss 0.1267430099331721 epoch: 8217 Epoch 8217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8217With loss 0.1267430099331721 epoch: 8218 Epoch 8218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8218With loss 0.1267430099331721 epoch: 8219 Epoch 8219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8219With loss 0.1267430099331721 epoch: 8220 Epoch 8220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8220With loss 0.1267430099331721 epoch: 8221 Epoch 8221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8221With loss 0.1267430099331721 epoch: 8222 Epoch 8222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8222With loss 0.1267430099331721 epoch: 8223 Epoch 8223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8223With loss 0.1267430099331721 epoch: 8224 Epoch 8224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8224With loss 0.1267430099331721 epoch: 8225 Epoch 8225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8225With loss 0.1267430099331721 epoch: 8226 Epoch 8226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8226With loss 0.1267430099331721 epoch: 8227 Epoch 8227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8227With loss 0.1267430099331721 epoch: 8228 Epoch 8228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8228With loss 0.1267430099331721 epoch: 8229 Epoch 8229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8229With loss 0.1267430099331721 epoch: 8230 Epoch 8230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8230With loss 0.1267430099331721 epoch: 8231 Epoch 8231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8231With loss 0.1267430099331721 epoch: 8232 Epoch 8232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8232With loss 0.1267430099331721 epoch: 8233 Epoch 8233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8233With loss 0.1267430099331721 epoch: 8234 Epoch 8234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8234With loss 0.1267430099331721 epoch: 8235 Epoch 8235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8235With loss 0.1267430099331721 epoch: 8236 Epoch 8236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8236With loss 0.1267430099331721 epoch: 8237 Epoch 8237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8237With loss 0.1267430099331721 epoch: 8238 Epoch 8238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8238With loss 0.1267430099331721 epoch: 8239 Epoch 8239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8239With loss 0.1267430099331721 epoch: 8240 Epoch 8240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8240With loss 0.1267430099331721 epoch: 8241 Epoch 8241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8241With loss 0.1267430099331721 epoch: 8242 Epoch 8242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8242With loss 0.1267430099331721 epoch: 8243 Epoch 8243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8243With loss 0.1267430099331721 epoch: 8244 Epoch 8244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8244With loss 0.1267430099331721 epoch: 8245 Epoch 8245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8245With loss 0.1267430099331721 epoch: 8246 Epoch 8246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8246With loss 0.1267430099331721 epoch: 8247 Epoch 8247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8247With loss 0.1267430099331721 epoch: 8248 Epoch 8248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8248With loss 0.1267430099331721 epoch: 8249 Epoch 8249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8249With loss 0.1267430099331721 epoch: 8250 Epoch 8250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8250With loss 0.1267430099331721 epoch: 8251 Epoch 8251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8251With loss 0.1267430099331721 epoch: 8252 Epoch 8252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8252With loss 0.1267430099331721 epoch: 8253 Epoch 8253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8253With loss 0.1267430099331721 epoch: 8254 Epoch 8254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8254With loss 0.1267430099331721 epoch: 8255 Epoch 8255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8255With loss 0.1267430099331721 epoch: 8256 Epoch 8256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8256With loss 0.1267430099331721 epoch: 8257 Epoch 8257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8257With loss 0.1267430099331721 epoch: 8258 Epoch 8258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8258With loss 0.1267430099331721 epoch: 8259 Epoch 8259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8259With loss 0.1267430099331721 epoch: 8260 Epoch 8260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8260With loss 0.1267430099331721 epoch: 8261 Epoch 8261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8261With loss 0.1267430099331721 epoch: 8262 Epoch 8262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8262With loss 0.1267430099331721 epoch: 8263 Epoch 8263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8263With loss 0.1267430099331721 epoch: 8264 Epoch 8264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8264With loss 0.1267430099331721 epoch: 8265 Epoch 8265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8265With loss 0.1267430099331721 epoch: 8266 Epoch 8266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8266With loss 0.1267430099331721 epoch: 8267 Epoch 8267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8267With loss 0.1267430099331721 epoch: 8268 Epoch 8268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8268With loss 0.1267430099331721 epoch: 8269 Epoch 8269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8269With loss 0.1267430099331721 epoch: 8270 Epoch 8270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8270With loss 0.1267430099331721 epoch: 8271 Epoch 8271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8271With loss 0.1267430099331721 epoch: 8272 Epoch 8272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8272With loss 0.1267430099331721 epoch: 8273 Epoch 8273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8273With loss 0.1267430099331721 epoch: 8274 Epoch 8274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8274With loss 0.1267430099331721 epoch: 8275 Epoch 8275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8275With loss 0.1267430099331721 epoch: 8276 Epoch 8276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8276With loss 0.1267430099331721 epoch: 8277 Epoch 8277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8277With loss 0.1267430099331721 epoch: 8278 Epoch 8278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8278With loss 0.1267430099331721 epoch: 8279 Epoch 8279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8279With loss 0.1267430099331721 epoch: 8280 Epoch 8280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8280With loss 0.1267430099331721 epoch: 8281 Epoch 8281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8281With loss 0.1267430099331721 epoch: 8282 Epoch 8282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8282With loss 0.1267430099331721 epoch: 8283 Epoch 8283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8283With loss 0.1267430099331721 epoch: 8284 Epoch 8284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8284With loss 0.1267430099331721 epoch: 8285 Epoch 8285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8285With loss 0.1267430099331721 epoch: 8286 Epoch 8286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8286With loss 0.1267430099331721 epoch: 8287 Epoch 8287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8287With loss 0.1267430099331721 epoch: 8288 Epoch 8288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8288With loss 0.1267430099331721 epoch: 8289 Epoch 8289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8289With loss 0.1267430099331721 epoch: 8290 Epoch 8290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8290With loss 0.1267430099331721 epoch: 8291 Epoch 8291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8291With loss 0.1267430099331721 epoch: 8292 Epoch 8292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8292With loss 0.1267430099331721 epoch: 8293 Epoch 8293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8293With loss 0.1267430099331721 epoch: 8294 Epoch 8294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8294With loss 0.1267430099331721 epoch: 8295 Epoch 8295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8295With loss 0.1267430099331721 epoch: 8296 Epoch 8296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8296With loss 0.1267430099331721 epoch: 8297 Epoch 8297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8297With loss 0.1267430099331721 epoch: 8298 Epoch 8298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8298With loss 0.1267430099331721 epoch: 8299 Epoch 8299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8299With loss 0.1267430099331721 epoch: 8300 Epoch 8300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8300With loss 0.1267430099331721 epoch: 8301 Epoch 8301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8301With loss 0.1267430099331721 epoch: 8302 Epoch 8302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8302With loss 0.1267430099331721 epoch: 8303 Epoch 8303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8303With loss 0.1267430099331721 epoch: 8304 Epoch 8304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8304With loss 0.1267430099331721 epoch: 8305 Epoch 8305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8305With loss 0.1267430099331721 epoch: 8306 Epoch 8306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8306With loss 0.1267430099331721 epoch: 8307 Epoch 8307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8307With loss 0.1267430099331721 epoch: 8308 Epoch 8308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8308With loss 0.1267430099331721 epoch: 8309 Epoch 8309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8309With loss 0.1267430099331721 epoch: 8310 Epoch 8310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8310With loss 0.1267430099331721 epoch: 8311 Epoch 8311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8311With loss 0.1267430099331721 epoch: 8312 Epoch 8312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8312With loss 0.1267430099331721 epoch: 8313 Epoch 8313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8313With loss 0.1267430099331721 epoch: 8314 Epoch 8314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8314With loss 0.1267430099331721 epoch: 8315 Epoch 8315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8315With loss 0.1267430099331721 epoch: 8316 Epoch 8316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8316With loss 0.1267430099331721 epoch: 8317 Epoch 8317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8317With loss 0.1267430099331721 epoch: 8318 Epoch 8318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8318With loss 0.1267430099331721 epoch: 8319 Epoch 8319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8319With loss 0.1267430099331721 epoch: 8320 Epoch 8320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8320With loss 0.1267430099331721 epoch: 8321 Epoch 8321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8321With loss 0.1267430099331721 epoch: 8322 Epoch 8322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8322With loss 0.1267430099331721 epoch: 8323 Epoch 8323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8323With loss 0.1267430099331721 epoch: 8324 Epoch 8324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8324With loss 0.1267430099331721 epoch: 8325 Epoch 8325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8325With loss 0.1267430099331721 epoch: 8326 Epoch 8326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8326With loss 0.1267430099331721 epoch: 8327 Epoch 8327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8327With loss 0.1267430099331721 epoch: 8328 Epoch 8328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8328With loss 0.1267430099331721 epoch: 8329 Epoch 8329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8329With loss 0.1267430099331721 epoch: 8330 Epoch 8330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8330With loss 0.1267430099331721 epoch: 8331 Epoch 8331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8331With loss 0.1267430099331721 epoch: 8332 Epoch 8332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8332With loss 0.1267430099331721 epoch: 8333 Epoch 8333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8333With loss 0.1267430099331721 epoch: 8334 Epoch 8334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8334With loss 0.1267430099331721 epoch: 8335 Epoch 8335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8335With loss 0.1267430099331721 epoch: 8336 Epoch 8336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8336With loss 0.1267430099331721 epoch: 8337 Epoch 8337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8337With loss 0.1267430099331721 epoch: 8338 Epoch 8338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8338With loss 0.1267430099331721 epoch: 8339 Epoch 8339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8339With loss 0.1267430099331721 epoch: 8340 Epoch 8340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8340With loss 0.1267430099331721 epoch: 8341 Epoch 8341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8341With loss 0.1267430099331721 epoch: 8342 Epoch 8342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8342With loss 0.1267430099331721 epoch: 8343 Epoch 8343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8343With loss 0.1267430099331721 epoch: 8344 Epoch 8344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8344With loss 0.1267430099331721 epoch: 8345 Epoch 8345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8345With loss 0.1267430099331721 epoch: 8346 Epoch 8346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8346With loss 0.1267430099331721 epoch: 8347 Epoch 8347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8347With loss 0.1267430099331721 epoch: 8348 Epoch 8348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8348With loss 0.1267430099331721 epoch: 8349 Epoch 8349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8349With loss 0.1267430099331721 epoch: 8350 Epoch 8350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8350With loss 0.1267430099331721 epoch: 8351 Epoch 8351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8351With loss 0.1267430099331721 epoch: 8352 Epoch 8352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8352With loss 0.1267430099331721 epoch: 8353 Epoch 8353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8353With loss 0.1267430099331721 epoch: 8354 Epoch 8354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8354With loss 0.1267430099331721 epoch: 8355 Epoch 8355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8355With loss 0.1267430099331721 epoch: 8356 Epoch 8356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8356With loss 0.1267430099331721 epoch: 8357 Epoch 8357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8357With loss 0.1267430099331721 epoch: 8358 Epoch 8358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8358With loss 0.1267430099331721 epoch: 8359 Epoch 8359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8359With loss 0.1267430099331721 epoch: 8360 Epoch 8360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8360With loss 0.1267430099331721 epoch: 8361 Epoch 8361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8361With loss 0.1267430099331721 epoch: 8362 Epoch 8362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8362With loss 0.1267430099331721 epoch: 8363 Epoch 8363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8363With loss 0.1267430099331721 epoch: 8364 Epoch 8364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8364With loss 0.1267430099331721 epoch: 8365 Epoch 8365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8365With loss 0.1267430099331721 epoch: 8366 Epoch 8366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8366With loss 0.1267430099331721 epoch: 8367 Epoch 8367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8367With loss 0.1267430099331721 epoch: 8368 Epoch 8368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8368With loss 0.1267430099331721 epoch: 8369 Epoch 8369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8369With loss 0.1267430099331721 epoch: 8370 Epoch 8370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8370With loss 0.1267430099331721 epoch: 8371 Epoch 8371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8371With loss 0.1267430099331721 epoch: 8372 Epoch 8372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8372With loss 0.1267430099331721 epoch: 8373 Epoch 8373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8373With loss 0.1267430099331721 epoch: 8374 Epoch 8374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8374With loss 0.1267430099331721 epoch: 8375 Epoch 8375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8375With loss 0.1267430099331721 epoch: 8376 Epoch 8376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8376With loss 0.1267430099331721 epoch: 8377 Epoch 8377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8377With loss 0.1267430099331721 epoch: 8378 Epoch 8378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8378With loss 0.1267430099331721 epoch: 8379 Epoch 8379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8379With loss 0.1267430099331721 epoch: 8380 Epoch 8380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8380With loss 0.1267430099331721 epoch: 8381 Epoch 8381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8381With loss 0.1267430099331721 epoch: 8382 Epoch 8382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8382With loss 0.1267430099331721 epoch: 8383 Epoch 8383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8383With loss 0.1267430099331721 epoch: 8384 Epoch 8384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8384With loss 0.1267430099331721 epoch: 8385 Epoch 8385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8385With loss 0.1267430099331721 epoch: 8386 Epoch 8386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8386With loss 0.1267430099331721 epoch: 8387 Epoch 8387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8387With loss 0.1267430099331721 epoch: 8388 Epoch 8388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8388With loss 0.1267430099331721 epoch: 8389 Epoch 8389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8389With loss 0.1267430099331721 epoch: 8390 Epoch 8390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8390With loss 0.1267430099331721 epoch: 8391 Epoch 8391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8391With loss 0.1267430099331721 epoch: 8392 Epoch 8392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8392With loss 0.1267430099331721 epoch: 8393 Epoch 8393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8393With loss 0.1267430099331721 epoch: 8394 Epoch 8394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8394With loss 0.1267430099331721 epoch: 8395 Epoch 8395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8395With loss 0.1267430099331721 epoch: 8396 Epoch 8396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8396With loss 0.1267430099331721 epoch: 8397 Epoch 8397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8397With loss 0.1267430099331721 epoch: 8398 Epoch 8398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8398With loss 0.1267430099331721 epoch: 8399 Epoch 8399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8399With loss 0.1267430099331721 epoch: 8400 Epoch 8400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8400With loss 0.1267430099331721 epoch: 8401 Epoch 8401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8401With loss 0.1267430099331721 epoch: 8402 Epoch 8402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8402With loss 0.1267430099331721 epoch: 8403 Epoch 8403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8403With loss 0.1267430099331721 epoch: 8404 Epoch 8404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8404With loss 0.1267430099331721 epoch: 8405 Epoch 8405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8405With loss 0.1267430099331721 epoch: 8406 Epoch 8406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8406With loss 0.1267430099331721 epoch: 8407 Epoch 8407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8407With loss 0.1267430099331721 epoch: 8408 Epoch 8408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8408With loss 0.1267430099331721 epoch: 8409 Epoch 8409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8409With loss 0.1267430099331721 epoch: 8410 Epoch 8410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8410With loss 0.1267430099331721 epoch: 8411 Epoch 8411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8411With loss 0.1267430099331721 epoch: 8412 Epoch 8412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8412With loss 0.1267430099331721 epoch: 8413 Epoch 8413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8413With loss 0.1267430099331721 epoch: 8414 Epoch 8414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8414With loss 0.1267430099331721 epoch: 8415 Epoch 8415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8415With loss 0.1267430099331721 epoch: 8416 Epoch 8416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8416With loss 0.1267430099331721 epoch: 8417 Epoch 8417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8417With loss 0.1267430099331721 epoch: 8418 Epoch 8418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8418With loss 0.1267430099331721 epoch: 8419 Epoch 8419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8419With loss 0.1267430099331721 epoch: 8420 Epoch 8420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8420With loss 0.1267430099331721 epoch: 8421 Epoch 8421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8421With loss 0.1267430099331721 epoch: 8422 Epoch 8422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8422With loss 0.1267430099331721 epoch: 8423 Epoch 8423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8423With loss 0.1267430099331721 epoch: 8424 Epoch 8424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8424With loss 0.1267430099331721 epoch: 8425 Epoch 8425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8425With loss 0.1267430099331721 epoch: 8426 Epoch 8426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8426With loss 0.1267430099331721 epoch: 8427 Epoch 8427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8427With loss 0.1267430099331721 epoch: 8428 Epoch 8428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8428With loss 0.1267430099331721 epoch: 8429 Epoch 8429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8429With loss 0.1267430099331721 epoch: 8430 Epoch 8430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8430With loss 0.1267430099331721 epoch: 8431 Epoch 8431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8431With loss 0.1267430099331721 epoch: 8432 Epoch 8432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8432With loss 0.1267430099331721 epoch: 8433 Epoch 8433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8433With loss 0.1267430099331721 epoch: 8434 Epoch 8434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8434With loss 0.1267430099331721 epoch: 8435 Epoch 8435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8435With loss 0.1267430099331721 epoch: 8436 Epoch 8436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8436With loss 0.1267430099331721 epoch: 8437 Epoch 8437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8437With loss 0.1267430099331721 epoch: 8438 Epoch 8438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8438With loss 0.1267430099331721 epoch: 8439 Epoch 8439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8439With loss 0.1267430099331721 epoch: 8440 Epoch 8440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8440With loss 0.1267430099331721 epoch: 8441 Epoch 8441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8441With loss 0.1267430099331721 epoch: 8442 Epoch 8442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8442With loss 0.1267430099331721 epoch: 8443 Epoch 8443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8443With loss 0.1267430099331721 epoch: 8444 Epoch 8444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8444With loss 0.1267430099331721 epoch: 8445 Epoch 8445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8445With loss 0.1267430099331721 epoch: 8446 Epoch 8446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8446With loss 0.1267430099331721 epoch: 8447 Epoch 8447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8447With loss 0.1267430099331721 epoch: 8448 Epoch 8448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8448With loss 0.1267430099331721 epoch: 8449 Epoch 8449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8449With loss 0.1267430099331721 epoch: 8450 Epoch 8450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8450With loss 0.1267430099331721 epoch: 8451 Epoch 8451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8451With loss 0.1267430099331721 epoch: 8452 Epoch 8452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8452With loss 0.1267430099331721 epoch: 8453 Epoch 8453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8453With loss 0.1267430099331721 epoch: 8454 Epoch 8454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8454With loss 0.1267430099331721 epoch: 8455 Epoch 8455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8455With loss 0.1267430099331721 epoch: 8456 Epoch 8456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8456With loss 0.1267430099331721 epoch: 8457 Epoch 8457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8457With loss 0.1267430099331721 epoch: 8458 Epoch 8458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8458With loss 0.1267430099331721 epoch: 8459 Epoch 8459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8459With loss 0.1267430099331721 epoch: 8460 Epoch 8460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8460With loss 0.1267430099331721 epoch: 8461 Epoch 8461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8461With loss 0.1267430099331721 epoch: 8462 Epoch 8462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8462With loss 0.1267430099331721 epoch: 8463 Epoch 8463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8463With loss 0.1267430099331721 epoch: 8464 Epoch 8464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8464With loss 0.1267430099331721 epoch: 8465 Epoch 8465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8465With loss 0.1267430099331721 epoch: 8466 Epoch 8466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8466With loss 0.1267430099331721 epoch: 8467 Epoch 8467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8467With loss 0.1267430099331721 epoch: 8468 Epoch 8468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8468With loss 0.1267430099331721 epoch: 8469 Epoch 8469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8469With loss 0.1267430099331721 epoch: 8470 Epoch 8470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8470With loss 0.1267430099331721 epoch: 8471 Epoch 8471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8471With loss 0.1267430099331721 epoch: 8472 Epoch 8472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8472With loss 0.1267430099331721 epoch: 8473 Epoch 8473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8473With loss 0.1267430099331721 epoch: 8474 Epoch 8474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8474With loss 0.1267430099331721 epoch: 8475 Epoch 8475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8475With loss 0.1267430099331721 epoch: 8476 Epoch 8476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8476With loss 0.1267430099331721 epoch: 8477 Epoch 8477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8477With loss 0.1267430099331721 epoch: 8478 Epoch 8478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8478With loss 0.1267430099331721 epoch: 8479 Epoch 8479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8479With loss 0.1267430099331721 epoch: 8480 Epoch 8480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8480With loss 0.1267430099331721 epoch: 8481 Epoch 8481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8481With loss 0.1267430099331721 epoch: 8482 Epoch 8482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8482With loss 0.1267430099331721 epoch: 8483 Epoch 8483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8483With loss 0.1267430099331721 epoch: 8484 Epoch 8484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8484With loss 0.1267430099331721 epoch: 8485 Epoch 8485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8485With loss 0.1267430099331721 epoch: 8486 Epoch 8486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8486With loss 0.1267430099331721 epoch: 8487 Epoch 8487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8487With loss 0.1267430099331721 epoch: 8488 Epoch 8488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8488With loss 0.1267430099331721 epoch: 8489 Epoch 8489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8489With loss 0.1267430099331721 epoch: 8490 Epoch 8490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8490With loss 0.1267430099331721 epoch: 8491 Epoch 8491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8491With loss 0.1267430099331721 epoch: 8492 Epoch 8492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8492With loss 0.1267430099331721 epoch: 8493 Epoch 8493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8493With loss 0.1267430099331721 epoch: 8494 Epoch 8494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8494With loss 0.1267430099331721 epoch: 8495 Epoch 8495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8495With loss 0.1267430099331721 epoch: 8496 Epoch 8496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8496With loss 0.1267430099331721 epoch: 8497 Epoch 8497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8497With loss 0.1267430099331721 epoch: 8498 Epoch 8498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8498With loss 0.1267430099331721 epoch: 8499 Epoch 8499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8499With loss 0.1267430099331721 epoch: 8500 Epoch 8500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8500With loss 0.1267430099331721 epoch: 8501 Epoch 8501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8501With loss 0.1267430099331721 epoch: 8502 Epoch 8502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8502With loss 0.1267430099331721 epoch: 8503 Epoch 8503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8503With loss 0.1267430099331721 epoch: 8504 Epoch 8504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8504With loss 0.1267430099331721 epoch: 8505 Epoch 8505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8505With loss 0.1267430099331721 epoch: 8506 Epoch 8506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8506With loss 0.1267430099331721 epoch: 8507 Epoch 8507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8507With loss 0.1267430099331721 epoch: 8508 Epoch 8508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8508With loss 0.1267430099331721 epoch: 8509 Epoch 8509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8509With loss 0.1267430099331721 epoch: 8510 Epoch 8510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8510With loss 0.1267430099331721 epoch: 8511 Epoch 8511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8511With loss 0.1267430099331721 epoch: 8512 Epoch 8512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8512With loss 0.1267430099331721 epoch: 8513 Epoch 8513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8513With loss 0.1267430099331721 epoch: 8514 Epoch 8514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8514With loss 0.1267430099331721 epoch: 8515 Epoch 8515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8515With loss 0.1267430099331721 epoch: 8516 Epoch 8516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8516With loss 0.1267430099331721 epoch: 8517 Epoch 8517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8517With loss 0.1267430099331721 epoch: 8518 Epoch 8518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8518With loss 0.1267430099331721 epoch: 8519 Epoch 8519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8519With loss 0.1267430099331721 epoch: 8520 Epoch 8520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8520With loss 0.1267430099331721 epoch: 8521 Epoch 8521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8521With loss 0.1267430099331721 epoch: 8522 Epoch 8522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8522With loss 0.1267430099331721 epoch: 8523 Epoch 8523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8523With loss 0.1267430099331721 epoch: 8524 Epoch 8524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8524With loss 0.1267430099331721 epoch: 8525 Epoch 8525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8525With loss 0.1267430099331721 epoch: 8526 Epoch 8526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8526With loss 0.1267430099331721 epoch: 8527 Epoch 8527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8527With loss 0.1267430099331721 epoch: 8528 Epoch 8528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8528With loss 0.1267430099331721 epoch: 8529 Epoch 8529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8529With loss 0.1267430099331721 epoch: 8530 Epoch 8530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8530With loss 0.1267430099331721 epoch: 8531 Epoch 8531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8531With loss 0.1267430099331721 epoch: 8532 Epoch 8532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8532With loss 0.1267430099331721 epoch: 8533 Epoch 8533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8533With loss 0.1267430099331721 epoch: 8534 Epoch 8534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8534With loss 0.1267430099331721 epoch: 8535 Epoch 8535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8535With loss 0.1267430099331721 epoch: 8536 Epoch 8536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8536With loss 0.1267430099331721 epoch: 8537 Epoch 8537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8537With loss 0.1267430099331721 epoch: 8538 Epoch 8538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8538With loss 0.1267430099331721 epoch: 8539 Epoch 8539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8539With loss 0.1267430099331721 epoch: 8540 Epoch 8540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8540With loss 0.1267430099331721 epoch: 8541 Epoch 8541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8541With loss 0.1267430099331721 epoch: 8542 Epoch 8542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8542With loss 0.1267430099331721 epoch: 8543 Epoch 8543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8543With loss 0.1267430099331721 epoch: 8544 Epoch 8544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8544With loss 0.1267430099331721 epoch: 8545 Epoch 8545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8545With loss 0.1267430099331721 epoch: 8546 Epoch 8546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8546With loss 0.1267430099331721 epoch: 8547 Epoch 8547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8547With loss 0.1267430099331721 epoch: 8548 Epoch 8548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8548With loss 0.1267430099331721 epoch: 8549 Epoch 8549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8549With loss 0.1267430099331721 epoch: 8550 Epoch 8550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8550With loss 0.1267430099331721 epoch: 8551 Epoch 8551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8551With loss 0.1267430099331721 epoch: 8552 Epoch 8552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8552With loss 0.1267430099331721 epoch: 8553 Epoch 8553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8553With loss 0.1267430099331721 epoch: 8554 Epoch 8554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8554With loss 0.1267430099331721 epoch: 8555 Epoch 8555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8555With loss 0.1267430099331721 epoch: 8556 Epoch 8556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8556With loss 0.1267430099331721 epoch: 8557 Epoch 8557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8557With loss 0.1267430099331721 epoch: 8558 Epoch 8558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8558With loss 0.1267430099331721 epoch: 8559 Epoch 8559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8559With loss 0.1267430099331721 epoch: 8560 Epoch 8560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8560With loss 0.1267430099331721 epoch: 8561 Epoch 8561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8561With loss 0.1267430099331721 epoch: 8562 Epoch 8562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8562With loss 0.1267430099331721 epoch: 8563 Epoch 8563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8563With loss 0.1267430099331721 epoch: 8564 Epoch 8564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8564With loss 0.1267430099331721 epoch: 8565 Epoch 8565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8565With loss 0.1267430099331721 epoch: 8566 Epoch 8566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8566With loss 0.1267430099331721 epoch: 8567 Epoch 8567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8567With loss 0.1267430099331721 epoch: 8568 Epoch 8568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8568With loss 0.1267430099331721 epoch: 8569 Epoch 8569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8569With loss 0.1267430099331721 epoch: 8570 Epoch 8570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8570With loss 0.1267430099331721 epoch: 8571 Epoch 8571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8571With loss 0.1267430099331721 epoch: 8572 Epoch 8572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8572With loss 0.1267430099331721 epoch: 8573 Epoch 8573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8573With loss 0.1267430099331721 epoch: 8574 Epoch 8574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8574With loss 0.1267430099331721 epoch: 8575 Epoch 8575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8575With loss 0.1267430099331721 epoch: 8576 Epoch 8576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8576With loss 0.1267430099331721 epoch: 8577 Epoch 8577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8577With loss 0.1267430099331721 epoch: 8578 Epoch 8578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8578With loss 0.1267430099331721 epoch: 8579 Epoch 8579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8579With loss 0.1267430099331721 epoch: 8580 Epoch 8580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8580With loss 0.1267430099331721 epoch: 8581 Epoch 8581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8581With loss 0.1267430099331721 epoch: 8582 Epoch 8582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8582With loss 0.1267430099331721 epoch: 8583 Epoch 8583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8583With loss 0.1267430099331721 epoch: 8584 Epoch 8584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8584With loss 0.1267430099331721 epoch: 8585 Epoch 8585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8585With loss 0.1267430099331721 epoch: 8586 Epoch 8586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8586With loss 0.1267430099331721 epoch: 8587 Epoch 8587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8587With loss 0.1267430099331721 epoch: 8588 Epoch 8588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8588With loss 0.1267430099331721 epoch: 8589 Epoch 8589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8589With loss 0.1267430099331721 epoch: 8590 Epoch 8590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8590With loss 0.1267430099331721 epoch: 8591 Epoch 8591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8591With loss 0.1267430099331721 epoch: 8592 Epoch 8592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8592With loss 0.1267430099331721 epoch: 8593 Epoch 8593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8593With loss 0.1267430099331721 epoch: 8594 Epoch 8594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8594With loss 0.1267430099331721 epoch: 8595 Epoch 8595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8595With loss 0.1267430099331721 epoch: 8596 Epoch 8596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8596With loss 0.1267430099331721 epoch: 8597 Epoch 8597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8597With loss 0.1267430099331721 epoch: 8598 Epoch 8598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8598With loss 0.1267430099331721 epoch: 8599 Epoch 8599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8599With loss 0.1267430099331721 epoch: 8600 Epoch 8600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8600With loss 0.1267430099331721 epoch: 8601 Epoch 8601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8601With loss 0.1267430099331721 epoch: 8602 Epoch 8602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8602With loss 0.1267430099331721 epoch: 8603 Epoch 8603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8603With loss 0.1267430099331721 epoch: 8604 Epoch 8604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8604With loss 0.1267430099331721 epoch: 8605 Epoch 8605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8605With loss 0.1267430099331721 epoch: 8606 Epoch 8606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8606With loss 0.1267430099331721 epoch: 8607 Epoch 8607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8607With loss 0.1267430099331721 epoch: 8608 Epoch 8608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8608With loss 0.1267430099331721 epoch: 8609 Epoch 8609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8609With loss 0.1267430099331721 epoch: 8610 Epoch 8610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8610With loss 0.1267430099331721 epoch: 8611 Epoch 8611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8611With loss 0.1267430099331721 epoch: 8612 Epoch 8612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8612With loss 0.1267430099331721 epoch: 8613 Epoch 8613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8613With loss 0.1267430099331721 epoch: 8614 Epoch 8614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8614With loss 0.1267430099331721 epoch: 8615 Epoch 8615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8615With loss 0.1267430099331721 epoch: 8616 Epoch 8616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8616With loss 0.1267430099331721 epoch: 8617 Epoch 8617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8617With loss 0.1267430099331721 epoch: 8618 Epoch 8618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8618With loss 0.1267430099331721 epoch: 8619 Epoch 8619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8619With loss 0.1267430099331721 epoch: 8620 Epoch 8620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8620With loss 0.1267430099331721 epoch: 8621 Epoch 8621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8621With loss 0.1267430099331721 epoch: 8622 Epoch 8622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8622With loss 0.1267430099331721 epoch: 8623 Epoch 8623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8623With loss 0.1267430099331721 epoch: 8624 Epoch 8624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8624With loss 0.1267430099331721 epoch: 8625 Epoch 8625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8625With loss 0.1267430099331721 epoch: 8626 Epoch 8626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8626With loss 0.1267430099331721 epoch: 8627 Epoch 8627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8627With loss 0.1267430099331721 epoch: 8628 Epoch 8628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8628With loss 0.1267430099331721 epoch: 8629 Epoch 8629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8629With loss 0.1267430099331721 epoch: 8630 Epoch 8630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8630With loss 0.1267430099331721 epoch: 8631 Epoch 8631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8631With loss 0.1267430099331721 epoch: 8632 Epoch 8632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8632With loss 0.1267430099331721 epoch: 8633 Epoch 8633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8633With loss 0.1267430099331721 epoch: 8634 Epoch 8634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8634With loss 0.1267430099331721 epoch: 8635 Epoch 8635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8635With loss 0.1267430099331721 epoch: 8636 Epoch 8636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8636With loss 0.1267430099331721 epoch: 8637 Epoch 8637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8637With loss 0.1267430099331721 epoch: 8638 Epoch 8638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8638With loss 0.1267430099331721 epoch: 8639 Epoch 8639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8639With loss 0.1267430099331721 epoch: 8640 Epoch 8640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8640With loss 0.1267430099331721 epoch: 8641 Epoch 8641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8641With loss 0.1267430099331721 epoch: 8642 Epoch 8642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8642With loss 0.1267430099331721 epoch: 8643 Epoch 8643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8643With loss 0.1267430099331721 epoch: 8644 Epoch 8644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8644With loss 0.1267430099331721 epoch: 8645 Epoch 8645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8645With loss 0.1267430099331721 epoch: 8646 Epoch 8646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8646With loss 0.1267430099331721 epoch: 8647 Epoch 8647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8647With loss 0.1267430099331721 epoch: 8648 Epoch 8648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8648With loss 0.1267430099331721 epoch: 8649 Epoch 8649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8649With loss 0.1267430099331721 epoch: 8650 Epoch 8650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8650With loss 0.1267430099331721 epoch: 8651 Epoch 8651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8651With loss 0.1267430099331721 epoch: 8652 Epoch 8652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8652With loss 0.1267430099331721 epoch: 8653 Epoch 8653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8653With loss 0.1267430099331721 epoch: 8654 Epoch 8654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8654With loss 0.1267430099331721 epoch: 8655 Epoch 8655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8655With loss 0.1267430099331721 epoch: 8656 Epoch 8656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8656With loss 0.1267430099331721 epoch: 8657 Epoch 8657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8657With loss 0.1267430099331721 epoch: 8658 Epoch 8658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8658With loss 0.1267430099331721 epoch: 8659 Epoch 8659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8659With loss 0.1267430099331721 epoch: 8660 Epoch 8660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8660With loss 0.1267430099331721 epoch: 8661 Epoch 8661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8661With loss 0.1267430099331721 epoch: 8662 Epoch 8662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8662With loss 0.1267430099331721 epoch: 8663 Epoch 8663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8663With loss 0.1267430099331721 epoch: 8664 Epoch 8664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8664With loss 0.1267430099331721 epoch: 8665 Epoch 8665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8665With loss 0.1267430099331721 epoch: 8666 Epoch 8666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8666With loss 0.1267430099331721 epoch: 8667 Epoch 8667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8667With loss 0.1267430099331721 epoch: 8668 Epoch 8668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8668With loss 0.1267430099331721 epoch: 8669 Epoch 8669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8669With loss 0.1267430099331721 epoch: 8670 Epoch 8670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8670With loss 0.1267430099331721 epoch: 8671 Epoch 8671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8671With loss 0.1267430099331721 epoch: 8672 Epoch 8672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8672With loss 0.1267430099331721 epoch: 8673 Epoch 8673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8673With loss 0.1267430099331721 epoch: 8674 Epoch 8674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8674With loss 0.1267430099331721 epoch: 8675 Epoch 8675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8675With loss 0.1267430099331721 epoch: 8676 Epoch 8676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8676With loss 0.1267430099331721 epoch: 8677 Epoch 8677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8677With loss 0.1267430099331721 epoch: 8678 Epoch 8678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8678With loss 0.1267430099331721 epoch: 8679 Epoch 8679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8679With loss 0.1267430099331721 epoch: 8680 Epoch 8680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8680With loss 0.1267430099331721 epoch: 8681 Epoch 8681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8681With loss 0.1267430099331721 epoch: 8682 Epoch 8682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8682With loss 0.1267430099331721 epoch: 8683 Epoch 8683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8683With loss 0.1267430099331721 epoch: 8684 Epoch 8684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8684With loss 0.1267430099331721 epoch: 8685 Epoch 8685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8685With loss 0.1267430099331721 epoch: 8686 Epoch 8686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8686With loss 0.1267430099331721 epoch: 8687 Epoch 8687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8687With loss 0.1267430099331721 epoch: 8688 Epoch 8688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8688With loss 0.1267430099331721 epoch: 8689 Epoch 8689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8689With loss 0.1267430099331721 epoch: 8690 Epoch 8690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8690With loss 0.1267430099331721 epoch: 8691 Epoch 8691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8691With loss 0.1267430099331721 epoch: 8692 Epoch 8692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8692With loss 0.1267430099331721 epoch: 8693 Epoch 8693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8693With loss 0.1267430099331721 epoch: 8694 Epoch 8694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8694With loss 0.1267430099331721 epoch: 8695 Epoch 8695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8695With loss 0.1267430099331721 epoch: 8696 Epoch 8696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8696With loss 0.1267430099331721 epoch: 8697 Epoch 8697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8697With loss 0.1267430099331721 epoch: 8698 Epoch 8698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8698With loss 0.1267430099331721 epoch: 8699 Epoch 8699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8699With loss 0.1267430099331721 epoch: 8700 Epoch 8700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8700With loss 0.1267430099331721 epoch: 8701 Epoch 8701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8701With loss 0.1267430099331721 epoch: 8702 Epoch 8702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8702With loss 0.1267430099331721 epoch: 8703 Epoch 8703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8703With loss 0.1267430099331721 epoch: 8704 Epoch 8704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8704With loss 0.1267430099331721 epoch: 8705 Epoch 8705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8705With loss 0.1267430099331721 epoch: 8706 Epoch 8706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8706With loss 0.1267430099331721 epoch: 8707 Epoch 8707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8707With loss 0.1267430099331721 epoch: 8708 Epoch 8708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8708With loss 0.1267430099331721 epoch: 8709 Epoch 8709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8709With loss 0.1267430099331721 epoch: 8710 Epoch 8710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8710With loss 0.1267430099331721 epoch: 8711 Epoch 8711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8711With loss 0.1267430099331721 epoch: 8712 Epoch 8712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8712With loss 0.1267430099331721 epoch: 8713 Epoch 8713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8713With loss 0.1267430099331721 epoch: 8714 Epoch 8714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8714With loss 0.1267430099331721 epoch: 8715 Epoch 8715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8715With loss 0.1267430099331721 epoch: 8716 Epoch 8716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8716With loss 0.1267430099331721 epoch: 8717 Epoch 8717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8717With loss 0.1267430099331721 epoch: 8718 Epoch 8718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8718With loss 0.1267430099331721 epoch: 8719 Epoch 8719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8719With loss 0.1267430099331721 epoch: 8720 Epoch 8720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8720With loss 0.1267430099331721 epoch: 8721 Epoch 8721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8721With loss 0.1267430099331721 epoch: 8722 Epoch 8722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8722With loss 0.1267430099331721 epoch: 8723 Epoch 8723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8723With loss 0.1267430099331721 epoch: 8724 Epoch 8724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8724With loss 0.1267430099331721 epoch: 8725 Epoch 8725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8725With loss 0.1267430099331721 epoch: 8726 Epoch 8726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8726With loss 0.1267430099331721 epoch: 8727 Epoch 8727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8727With loss 0.1267430099331721 epoch: 8728 Epoch 8728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8728With loss 0.1267430099331721 epoch: 8729 Epoch 8729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8729With loss 0.1267430099331721 epoch: 8730 Epoch 8730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8730With loss 0.1267430099331721 epoch: 8731 Epoch 8731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8731With loss 0.1267430099331721 epoch: 8732 Epoch 8732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8732With loss 0.1267430099331721 epoch: 8733 Epoch 8733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8733With loss 0.1267430099331721 epoch: 8734 Epoch 8734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8734With loss 0.1267430099331721 epoch: 8735 Epoch 8735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8735With loss 0.1267430099331721 epoch: 8736 Epoch 8736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8736With loss 0.1267430099331721 epoch: 8737 Epoch 8737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8737With loss 0.1267430099331721 epoch: 8738 Epoch 8738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8738With loss 0.1267430099331721 epoch: 8739 Epoch 8739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8739With loss 0.1267430099331721 epoch: 8740 Epoch 8740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8740With loss 0.1267430099331721 epoch: 8741 Epoch 8741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8741With loss 0.1267430099331721 epoch: 8742 Epoch 8742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8742With loss 0.1267430099331721 epoch: 8743 Epoch 8743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8743With loss 0.1267430099331721 epoch: 8744 Epoch 8744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8744With loss 0.1267430099331721 epoch: 8745 Epoch 8745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8745With loss 0.1267430099331721 epoch: 8746 Epoch 8746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8746With loss 0.1267430099331721 epoch: 8747 Epoch 8747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8747With loss 0.1267430099331721 epoch: 8748 Epoch 8748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8748With loss 0.1267430099331721 epoch: 8749 Epoch 8749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8749With loss 0.1267430099331721 epoch: 8750 Epoch 8750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8750With loss 0.1267430099331721 epoch: 8751 Epoch 8751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8751With loss 0.1267430099331721 epoch: 8752 Epoch 8752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8752With loss 0.1267430099331721 epoch: 8753 Epoch 8753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8753With loss 0.1267430099331721 epoch: 8754 Epoch 8754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8754With loss 0.1267430099331721 epoch: 8755 Epoch 8755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8755With loss 0.1267430099331721 epoch: 8756 Epoch 8756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8756With loss 0.1267430099331721 epoch: 8757 Epoch 8757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8757With loss 0.1267430099331721 epoch: 8758 Epoch 8758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8758With loss 0.1267430099331721 epoch: 8759 Epoch 8759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8759With loss 0.1267430099331721 epoch: 8760 Epoch 8760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8760With loss 0.1267430099331721 epoch: 8761 Epoch 8761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8761With loss 0.1267430099331721 epoch: 8762 Epoch 8762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8762With loss 0.1267430099331721 epoch: 8763 Epoch 8763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8763With loss 0.1267430099331721 epoch: 8764 Epoch 8764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8764With loss 0.1267430099331721 epoch: 8765 Epoch 8765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8765With loss 0.1267430099331721 epoch: 8766 Epoch 8766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8766With loss 0.1267430099331721 epoch: 8767 Epoch 8767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8767With loss 0.1267430099331721 epoch: 8768 Epoch 8768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8768With loss 0.1267430099331721 epoch: 8769 Epoch 8769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8769With loss 0.1267430099331721 epoch: 8770 Epoch 8770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8770With loss 0.1267430099331721 epoch: 8771 Epoch 8771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8771With loss 0.1267430099331721 epoch: 8772 Epoch 8772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8772With loss 0.1267430099331721 epoch: 8773 Epoch 8773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8773With loss 0.1267430099331721 epoch: 8774 Epoch 8774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8774With loss 0.1267430099331721 epoch: 8775 Epoch 8775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8775With loss 0.1267430099331721 epoch: 8776 Epoch 8776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8776With loss 0.1267430099331721 epoch: 8777 Epoch 8777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8777With loss 0.1267430099331721 epoch: 8778 Epoch 8778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8778With loss 0.1267430099331721 epoch: 8779 Epoch 8779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8779With loss 0.1267430099331721 epoch: 8780 Epoch 8780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8780With loss 0.1267430099331721 epoch: 8781 Epoch 8781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8781With loss 0.1267430099331721 epoch: 8782 Epoch 8782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8782With loss 0.1267430099331721 epoch: 8783 Epoch 8783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8783With loss 0.1267430099331721 epoch: 8784 Epoch 8784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8784With loss 0.1267430099331721 epoch: 8785 Epoch 8785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8785With loss 0.1267430099331721 epoch: 8786 Epoch 8786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8786With loss 0.1267430099331721 epoch: 8787 Epoch 8787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8787With loss 0.1267430099331721 epoch: 8788 Epoch 8788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8788With loss 0.1267430099331721 epoch: 8789 Epoch 8789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8789With loss 0.1267430099331721 epoch: 8790 Epoch 8790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8790With loss 0.1267430099331721 epoch: 8791 Epoch 8791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8791With loss 0.1267430099331721 epoch: 8792 Epoch 8792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8792With loss 0.1267430099331721 epoch: 8793 Epoch 8793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8793With loss 0.1267430099331721 epoch: 8794 Epoch 8794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8794With loss 0.1267430099331721 epoch: 8795 Epoch 8795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8795With loss 0.1267430099331721 epoch: 8796 Epoch 8796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8796With loss 0.1267430099331721 epoch: 8797 Epoch 8797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8797With loss 0.1267430099331721 epoch: 8798 Epoch 8798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8798With loss 0.1267430099331721 epoch: 8799 Epoch 8799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8799With loss 0.1267430099331721 epoch: 8800 Epoch 8800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8800With loss 0.1267430099331721 epoch: 8801 Epoch 8801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8801With loss 0.1267430099331721 epoch: 8802 Epoch 8802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8802With loss 0.1267430099331721 epoch: 8803 Epoch 8803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8803With loss 0.1267430099331721 epoch: 8804 Epoch 8804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8804With loss 0.1267430099331721 epoch: 8805 Epoch 8805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8805With loss 0.1267430099331721 epoch: 8806 Epoch 8806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8806With loss 0.1267430099331721 epoch: 8807 Epoch 8807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8807With loss 0.1267430099331721 epoch: 8808 Epoch 8808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8808With loss 0.1267430099331721 epoch: 8809 Epoch 8809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8809With loss 0.1267430099331721 epoch: 8810 Epoch 8810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8810With loss 0.1267430099331721 epoch: 8811 Epoch 8811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8811With loss 0.1267430099331721 epoch: 8812 Epoch 8812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8812With loss 0.1267430099331721 epoch: 8813 Epoch 8813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8813With loss 0.1267430099331721 epoch: 8814 Epoch 8814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8814With loss 0.1267430099331721 epoch: 8815 Epoch 8815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8815With loss 0.1267430099331721 epoch: 8816 Epoch 8816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8816With loss 0.1267430099331721 epoch: 8817 Epoch 8817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8817With loss 0.1267430099331721 epoch: 8818 Epoch 8818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8818With loss 0.1267430099331721 epoch: 8819 Epoch 8819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8819With loss 0.1267430099331721 epoch: 8820 Epoch 8820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8820With loss 0.1267430099331721 epoch: 8821 Epoch 8821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8821With loss 0.1267430099331721 epoch: 8822 Epoch 8822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8822With loss 0.1267430099331721 epoch: 8823 Epoch 8823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8823With loss 0.1267430099331721 epoch: 8824 Epoch 8824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8824With loss 0.1267430099331721 epoch: 8825 Epoch 8825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8825With loss 0.1267430099331721 epoch: 8826 Epoch 8826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8826With loss 0.1267430099331721 epoch: 8827 Epoch 8827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8827With loss 0.1267430099331721 epoch: 8828 Epoch 8828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8828With loss 0.1267430099331721 epoch: 8829 Epoch 8829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8829With loss 0.1267430099331721 epoch: 8830 Epoch 8830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8830With loss 0.1267430099331721 epoch: 8831 Epoch 8831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8831With loss 0.1267430099331721 epoch: 8832 Epoch 8832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8832With loss 0.1267430099331721 epoch: 8833 Epoch 8833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8833With loss 0.1267430099331721 epoch: 8834 Epoch 8834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8834With loss 0.1267430099331721 epoch: 8835 Epoch 8835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8835With loss 0.1267430099331721 epoch: 8836 Epoch 8836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8836With loss 0.1267430099331721 epoch: 8837 Epoch 8837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8837With loss 0.1267430099331721 epoch: 8838 Epoch 8838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8838With loss 0.1267430099331721 epoch: 8839 Epoch 8839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8839With loss 0.1267430099331721 epoch: 8840 Epoch 8840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8840With loss 0.1267430099331721 epoch: 8841 Epoch 8841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8841With loss 0.1267430099331721 epoch: 8842 Epoch 8842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8842With loss 0.1267430099331721 epoch: 8843 Epoch 8843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8843With loss 0.1267430099331721 epoch: 8844 Epoch 8844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8844With loss 0.1267430099331721 epoch: 8845 Epoch 8845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8845With loss 0.1267430099331721 epoch: 8846 Epoch 8846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8846With loss 0.1267430099331721 epoch: 8847 Epoch 8847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8847With loss 0.1267430099331721 epoch: 8848 Epoch 8848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8848With loss 0.1267430099331721 epoch: 8849 Epoch 8849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8849With loss 0.1267430099331721 epoch: 8850 Epoch 8850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8850With loss 0.1267430099331721 epoch: 8851 Epoch 8851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8851With loss 0.1267430099331721 epoch: 8852 Epoch 8852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8852With loss 0.1267430099331721 epoch: 8853 Epoch 8853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8853With loss 0.1267430099331721 epoch: 8854 Epoch 8854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8854With loss 0.1267430099331721 epoch: 8855 Epoch 8855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8855With loss 0.1267430099331721 epoch: 8856 Epoch 8856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8856With loss 0.1267430099331721 epoch: 8857 Epoch 8857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8857With loss 0.1267430099331721 epoch: 8858 Epoch 8858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8858With loss 0.1267430099331721 epoch: 8859 Epoch 8859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8859With loss 0.1267430099331721 epoch: 8860 Epoch 8860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8860With loss 0.1267430099331721 epoch: 8861 Epoch 8861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8861With loss 0.1267430099331721 epoch: 8862 Epoch 8862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8862With loss 0.1267430099331721 epoch: 8863 Epoch 8863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8863With loss 0.1267430099331721 epoch: 8864 Epoch 8864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8864With loss 0.1267430099331721 epoch: 8865 Epoch 8865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8865With loss 0.1267430099331721 epoch: 8866 Epoch 8866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8866With loss 0.1267430099331721 epoch: 8867 Epoch 8867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8867With loss 0.1267430099331721 epoch: 8868 Epoch 8868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8868With loss 0.1267430099331721 epoch: 8869 Epoch 8869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8869With loss 0.1267430099331721 epoch: 8870 Epoch 8870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8870With loss 0.1267430099331721 epoch: 8871 Epoch 8871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8871With loss 0.1267430099331721 epoch: 8872 Epoch 8872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8872With loss 0.1267430099331721 epoch: 8873 Epoch 8873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8873With loss 0.1267430099331721 epoch: 8874 Epoch 8874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8874With loss 0.1267430099331721 epoch: 8875 Epoch 8875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8875With loss 0.1267430099331721 epoch: 8876 Epoch 8876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8876With loss 0.1267430099331721 epoch: 8877 Epoch 8877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8877With loss 0.1267430099331721 epoch: 8878 Epoch 8878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8878With loss 0.1267430099331721 epoch: 8879 Epoch 8879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8879With loss 0.1267430099331721 epoch: 8880 Epoch 8880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8880With loss 0.1267430099331721 epoch: 8881 Epoch 8881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8881With loss 0.1267430099331721 epoch: 8882 Epoch 8882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8882With loss 0.1267430099331721 epoch: 8883 Epoch 8883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8883With loss 0.1267430099331721 epoch: 8884 Epoch 8884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8884With loss 0.1267430099331721 epoch: 8885 Epoch 8885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8885With loss 0.1267430099331721 epoch: 8886 Epoch 8886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8886With loss 0.1267430099331721 epoch: 8887 Epoch 8887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8887With loss 0.1267430099331721 epoch: 8888 Epoch 8888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8888With loss 0.1267430099331721 epoch: 8889 Epoch 8889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8889With loss 0.1267430099331721 epoch: 8890 Epoch 8890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8890With loss 0.1267430099331721 epoch: 8891 Epoch 8891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8891With loss 0.1267430099331721 epoch: 8892 Epoch 8892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8892With loss 0.1267430099331721 epoch: 8893 Epoch 8893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8893With loss 0.1267430099331721 epoch: 8894 Epoch 8894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8894With loss 0.1267430099331721 epoch: 8895 Epoch 8895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8895With loss 0.1267430099331721 epoch: 8896 Epoch 8896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8896With loss 0.1267430099331721 epoch: 8897 Epoch 8897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8897With loss 0.1267430099331721 epoch: 8898 Epoch 8898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8898With loss 0.1267430099331721 epoch: 8899 Epoch 8899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8899With loss 0.1267430099331721 epoch: 8900 Epoch 8900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8900With loss 0.1267430099331721 epoch: 8901 Epoch 8901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8901With loss 0.1267430099331721 epoch: 8902 Epoch 8902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8902With loss 0.1267430099331721 epoch: 8903 Epoch 8903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8903With loss 0.1267430099331721 epoch: 8904 Epoch 8904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8904With loss 0.1267430099331721 epoch: 8905 Epoch 8905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8905With loss 0.1267430099331721 epoch: 8906 Epoch 8906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8906With loss 0.1267430099331721 epoch: 8907 Epoch 8907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8907With loss 0.1267430099331721 epoch: 8908 Epoch 8908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8908With loss 0.1267430099331721 epoch: 8909 Epoch 8909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8909With loss 0.1267430099331721 epoch: 8910 Epoch 8910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8910With loss 0.1267430099331721 epoch: 8911 Epoch 8911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8911With loss 0.1267430099331721 epoch: 8912 Epoch 8912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8912With loss 0.1267430099331721 epoch: 8913 Epoch 8913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8913With loss 0.1267430099331721 epoch: 8914 Epoch 8914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8914With loss 0.1267430099331721 epoch: 8915 Epoch 8915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8915With loss 0.1267430099331721 epoch: 8916 Epoch 8916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8916With loss 0.1267430099331721 epoch: 8917 Epoch 8917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8917With loss 0.1267430099331721 epoch: 8918 Epoch 8918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8918With loss 0.1267430099331721 epoch: 8919 Epoch 8919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8919With loss 0.1267430099331721 epoch: 8920 Epoch 8920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8920With loss 0.1267430099331721 epoch: 8921 Epoch 8921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8921With loss 0.1267430099331721 epoch: 8922 Epoch 8922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8922With loss 0.1267430099331721 epoch: 8923 Epoch 8923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8923With loss 0.1267430099331721 epoch: 8924 Epoch 8924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8924With loss 0.1267430099331721 epoch: 8925 Epoch 8925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8925With loss 0.1267430099331721 epoch: 8926 Epoch 8926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8926With loss 0.1267430099331721 epoch: 8927 Epoch 8927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8927With loss 0.1267430099331721 epoch: 8928 Epoch 8928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8928With loss 0.1267430099331721 epoch: 8929 Epoch 8929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8929With loss 0.1267430099331721 epoch: 8930 Epoch 8930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8930With loss 0.1267430099331721 epoch: 8931 Epoch 8931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8931With loss 0.1267430099331721 epoch: 8932 Epoch 8932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8932With loss 0.1267430099331721 epoch: 8933 Epoch 8933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8933With loss 0.1267430099331721 epoch: 8934 Epoch 8934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8934With loss 0.1267430099331721 epoch: 8935 Epoch 8935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8935With loss 0.1267430099331721 epoch: 8936 Epoch 8936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8936With loss 0.1267430099331721 epoch: 8937 Epoch 8937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8937With loss 0.1267430099331721 epoch: 8938 Epoch 8938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8938With loss 0.1267430099331721 epoch: 8939 Epoch 8939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8939With loss 0.1267430099331721 epoch: 8940 Epoch 8940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8940With loss 0.1267430099331721 epoch: 8941 Epoch 8941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8941With loss 0.1267430099331721 epoch: 8942 Epoch 8942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8942With loss 0.1267430099331721 epoch: 8943 Epoch 8943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8943With loss 0.1267430099331721 epoch: 8944 Epoch 8944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8944With loss 0.1267430099331721 epoch: 8945 Epoch 8945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8945With loss 0.1267430099331721 epoch: 8946 Epoch 8946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8946With loss 0.1267430099331721 epoch: 8947 Epoch 8947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8947With loss 0.1267430099331721 epoch: 8948 Epoch 8948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8948With loss 0.1267430099331721 epoch: 8949 Epoch 8949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8949With loss 0.1267430099331721 epoch: 8950 Epoch 8950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8950With loss 0.1267430099331721 epoch: 8951 Epoch 8951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8951With loss 0.1267430099331721 epoch: 8952 Epoch 8952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8952With loss 0.1267430099331721 epoch: 8953 Epoch 8953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8953With loss 0.1267430099331721 epoch: 8954 Epoch 8954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8954With loss 0.1267430099331721 epoch: 8955 Epoch 8955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8955With loss 0.1267430099331721 epoch: 8956 Epoch 8956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8956With loss 0.1267430099331721 epoch: 8957 Epoch 8957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8957With loss 0.1267430099331721 epoch: 8958 Epoch 8958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8958With loss 0.1267430099331721 epoch: 8959 Epoch 8959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8959With loss 0.1267430099331721 epoch: 8960 Epoch 8960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8960With loss 0.1267430099331721 epoch: 8961 Epoch 8961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8961With loss 0.1267430099331721 epoch: 8962 Epoch 8962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8962With loss 0.1267430099331721 epoch: 8963 Epoch 8963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8963With loss 0.1267430099331721 epoch: 8964 Epoch 8964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8964With loss 0.1267430099331721 epoch: 8965 Epoch 8965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8965With loss 0.1267430099331721 epoch: 8966 Epoch 8966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8966With loss 0.1267430099331721 epoch: 8967 Epoch 8967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8967With loss 0.1267430099331721 epoch: 8968 Epoch 8968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8968With loss 0.1267430099331721 epoch: 8969 Epoch 8969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8969With loss 0.1267430099331721 epoch: 8970 Epoch 8970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8970With loss 0.1267430099331721 epoch: 8971 Epoch 8971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8971With loss 0.1267430099331721 epoch: 8972 Epoch 8972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8972With loss 0.1267430099331721 epoch: 8973 Epoch 8973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8973With loss 0.1267430099331721 epoch: 8974 Epoch 8974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8974With loss 0.1267430099331721 epoch: 8975 Epoch 8975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8975With loss 0.1267430099331721 epoch: 8976 Epoch 8976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8976With loss 0.1267430099331721 epoch: 8977 Epoch 8977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8977With loss 0.1267430099331721 epoch: 8978 Epoch 8978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8978With loss 0.1267430099331721 epoch: 8979 Epoch 8979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8979With loss 0.1267430099331721 epoch: 8980 Epoch 8980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8980With loss 0.1267430099331721 epoch: 8981 Epoch 8981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8981With loss 0.1267430099331721 epoch: 8982 Epoch 8982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8982With loss 0.1267430099331721 epoch: 8983 Epoch 8983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8983With loss 0.1267430099331721 epoch: 8984 Epoch 8984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8984With loss 0.1267430099331721 epoch: 8985 Epoch 8985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8985With loss 0.1267430099331721 epoch: 8986 Epoch 8986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8986With loss 0.1267430099331721 epoch: 8987 Epoch 8987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8987With loss 0.1267430099331721 epoch: 8988 Epoch 8988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8988With loss 0.1267430099331721 epoch: 8989 Epoch 8989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8989With loss 0.1267430099331721 epoch: 8990 Epoch 8990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8990With loss 0.1267430099331721 epoch: 8991 Epoch 8991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8991With loss 0.1267430099331721 epoch: 8992 Epoch 8992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8992With loss 0.1267430099331721 epoch: 8993 Epoch 8993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8993With loss 0.1267430099331721 epoch: 8994 Epoch 8994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8994With loss 0.1267430099331721 epoch: 8995 Epoch 8995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8995With loss 0.1267430099331721 epoch: 8996 Epoch 8996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8996With loss 0.1267430099331721 epoch: 8997 Epoch 8997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8997With loss 0.1267430099331721 epoch: 8998 Epoch 8998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8998With loss 0.1267430099331721 epoch: 8999 Epoch 8999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 8999With loss 0.1267430099331721 epoch: 9000 Epoch 9000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9000With loss 0.1267430099331721 epoch: 9001 Epoch 9001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9001With loss 0.1267430099331721 epoch: 9002 Epoch 9002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9002With loss 0.1267430099331721 epoch: 9003 Epoch 9003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9003With loss 0.1267430099331721 epoch: 9004 Epoch 9004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9004With loss 0.1267430099331721 epoch: 9005 Epoch 9005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9005With loss 0.1267430099331721 epoch: 9006 Epoch 9006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9006With loss 0.1267430099331721 epoch: 9007 Epoch 9007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9007With loss 0.1267430099331721 epoch: 9008 Epoch 9008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9008With loss 0.1267430099331721 epoch: 9009 Epoch 9009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9009With loss 0.1267430099331721 epoch: 9010 Epoch 9010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9010With loss 0.1267430099331721 epoch: 9011 Epoch 9011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9011With loss 0.1267430099331721 epoch: 9012 Epoch 9012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9012With loss 0.1267430099331721 epoch: 9013 Epoch 9013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9013With loss 0.1267430099331721 epoch: 9014 Epoch 9014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9014With loss 0.1267430099331721 epoch: 9015 Epoch 9015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9015With loss 0.1267430099331721 epoch: 9016 Epoch 9016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9016With loss 0.1267430099331721 epoch: 9017 Epoch 9017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9017With loss 0.1267430099331721 epoch: 9018 Epoch 9018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9018With loss 0.1267430099331721 epoch: 9019 Epoch 9019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9019With loss 0.1267430099331721 epoch: 9020 Epoch 9020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9020With loss 0.1267430099331721 epoch: 9021 Epoch 9021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9021With loss 0.1267430099331721 epoch: 9022 Epoch 9022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9022With loss 0.1267430099331721 epoch: 9023 Epoch 9023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9023With loss 0.1267430099331721 epoch: 9024 Epoch 9024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9024With loss 0.1267430099331721 epoch: 9025 Epoch 9025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9025With loss 0.1267430099331721 epoch: 9026 Epoch 9026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9026With loss 0.1267430099331721 epoch: 9027 Epoch 9027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9027With loss 0.1267430099331721 epoch: 9028 Epoch 9028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9028With loss 0.1267430099331721 epoch: 9029 Epoch 9029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9029With loss 0.1267430099331721 epoch: 9030 Epoch 9030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9030With loss 0.1267430099331721 epoch: 9031 Epoch 9031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9031With loss 0.1267430099331721 epoch: 9032 Epoch 9032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9032With loss 0.1267430099331721 epoch: 9033 Epoch 9033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9033With loss 0.1267430099331721 epoch: 9034 Epoch 9034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9034With loss 0.1267430099331721 epoch: 9035 Epoch 9035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9035With loss 0.1267430099331721 epoch: 9036 Epoch 9036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9036With loss 0.1267430099331721 epoch: 9037 Epoch 9037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9037With loss 0.1267430099331721 epoch: 9038 Epoch 9038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9038With loss 0.1267430099331721 epoch: 9039 Epoch 9039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9039With loss 0.1267430099331721 epoch: 9040 Epoch 9040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9040With loss 0.1267430099331721 epoch: 9041 Epoch 9041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9041With loss 0.1267430099331721 epoch: 9042 Epoch 9042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9042With loss 0.1267430099331721 epoch: 9043 Epoch 9043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9043With loss 0.1267430099331721 epoch: 9044 Epoch 9044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9044With loss 0.1267430099331721 epoch: 9045 Epoch 9045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9045With loss 0.1267430099331721 epoch: 9046 Epoch 9046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9046With loss 0.1267430099331721 epoch: 9047 Epoch 9047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9047With loss 0.1267430099331721 epoch: 9048 Epoch 9048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9048With loss 0.1267430099331721 epoch: 9049 Epoch 9049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9049With loss 0.1267430099331721 epoch: 9050 Epoch 9050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9050With loss 0.1267430099331721 epoch: 9051 Epoch 9051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9051With loss 0.1267430099331721 epoch: 9052 Epoch 9052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9052With loss 0.1267430099331721 epoch: 9053 Epoch 9053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9053With loss 0.1267430099331721 epoch: 9054 Epoch 9054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9054With loss 0.1267430099331721 epoch: 9055 Epoch 9055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9055With loss 0.1267430099331721 epoch: 9056 Epoch 9056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9056With loss 0.1267430099331721 epoch: 9057 Epoch 9057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9057With loss 0.1267430099331721 epoch: 9058 Epoch 9058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9058With loss 0.1267430099331721 epoch: 9059 Epoch 9059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9059With loss 0.1267430099331721 epoch: 9060 Epoch 9060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9060With loss 0.1267430099331721 epoch: 9061 Epoch 9061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9061With loss 0.1267430099331721 epoch: 9062 Epoch 9062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9062With loss 0.1267430099331721 epoch: 9063 Epoch 9063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9063With loss 0.1267430099331721 epoch: 9064 Epoch 9064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9064With loss 0.1267430099331721 epoch: 9065 Epoch 9065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9065With loss 0.1267430099331721 epoch: 9066 Epoch 9066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9066With loss 0.1267430099331721 epoch: 9067 Epoch 9067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9067With loss 0.1267430099331721 epoch: 9068 Epoch 9068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9068With loss 0.1267430099331721 epoch: 9069 Epoch 9069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9069With loss 0.1267430099331721 epoch: 9070 Epoch 9070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9070With loss 0.1267430099331721 epoch: 9071 Epoch 9071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9071With loss 0.1267430099331721 epoch: 9072 Epoch 9072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9072With loss 0.1267430099331721 epoch: 9073 Epoch 9073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9073With loss 0.1267430099331721 epoch: 9074 Epoch 9074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9074With loss 0.1267430099331721 epoch: 9075 Epoch 9075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9075With loss 0.1267430099331721 epoch: 9076 Epoch 9076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9076With loss 0.1267430099331721 epoch: 9077 Epoch 9077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9077With loss 0.1267430099331721 epoch: 9078 Epoch 9078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9078With loss 0.1267430099331721 epoch: 9079 Epoch 9079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9079With loss 0.1267430099331721 epoch: 9080 Epoch 9080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9080With loss 0.1267430099331721 epoch: 9081 Epoch 9081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9081With loss 0.1267430099331721 epoch: 9082 Epoch 9082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9082With loss 0.1267430099331721 epoch: 9083 Epoch 9083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9083With loss 0.1267430099331721 epoch: 9084 Epoch 9084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9084With loss 0.1267430099331721 epoch: 9085 Epoch 9085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9085With loss 0.1267430099331721 epoch: 9086 Epoch 9086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9086With loss 0.1267430099331721 epoch: 9087 Epoch 9087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9087With loss 0.1267430099331721 epoch: 9088 Epoch 9088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9088With loss 0.1267430099331721 epoch: 9089 Epoch 9089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9089With loss 0.1267430099331721 epoch: 9090 Epoch 9090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9090With loss 0.1267430099331721 epoch: 9091 Epoch 9091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9091With loss 0.1267430099331721 epoch: 9092 Epoch 9092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9092With loss 0.1267430099331721 epoch: 9093 Epoch 9093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9093With loss 0.1267430099331721 epoch: 9094 Epoch 9094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9094With loss 0.1267430099331721 epoch: 9095 Epoch 9095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9095With loss 0.1267430099331721 epoch: 9096 Epoch 9096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9096With loss 0.1267430099331721 epoch: 9097 Epoch 9097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9097With loss 0.1267430099331721 epoch: 9098 Epoch 9098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9098With loss 0.1267430099331721 epoch: 9099 Epoch 9099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9099With loss 0.1267430099331721 epoch: 9100 Epoch 9100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9100With loss 0.1267430099331721 epoch: 9101 Epoch 9101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9101With loss 0.1267430099331721 epoch: 9102 Epoch 9102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9102With loss 0.1267430099331721 epoch: 9103 Epoch 9103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9103With loss 0.1267430099331721 epoch: 9104 Epoch 9104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9104With loss 0.1267430099331721 epoch: 9105 Epoch 9105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9105With loss 0.1267430099331721 epoch: 9106 Epoch 9106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9106With loss 0.1267430099331721 epoch: 9107 Epoch 9107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9107With loss 0.1267430099331721 epoch: 9108 Epoch 9108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9108With loss 0.1267430099331721 epoch: 9109 Epoch 9109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9109With loss 0.1267430099331721 epoch: 9110 Epoch 9110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9110With loss 0.1267430099331721 epoch: 9111 Epoch 9111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9111With loss 0.1267430099331721 epoch: 9112 Epoch 9112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9112With loss 0.1267430099331721 epoch: 9113 Epoch 9113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9113With loss 0.1267430099331721 epoch: 9114 Epoch 9114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9114With loss 0.1267430099331721 epoch: 9115 Epoch 9115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9115With loss 0.1267430099331721 epoch: 9116 Epoch 9116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9116With loss 0.1267430099331721 epoch: 9117 Epoch 9117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9117With loss 0.1267430099331721 epoch: 9118 Epoch 9118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9118With loss 0.1267430099331721 epoch: 9119 Epoch 9119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9119With loss 0.1267430099331721 epoch: 9120 Epoch 9120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9120With loss 0.1267430099331721 epoch: 9121 Epoch 9121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9121With loss 0.1267430099331721 epoch: 9122 Epoch 9122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9122With loss 0.1267430099331721 epoch: 9123 Epoch 9123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9123With loss 0.1267430099331721 epoch: 9124 Epoch 9124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9124With loss 0.1267430099331721 epoch: 9125 Epoch 9125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9125With loss 0.1267430099331721 epoch: 9126 Epoch 9126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9126With loss 0.1267430099331721 epoch: 9127 Epoch 9127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9127With loss 0.1267430099331721 epoch: 9128 Epoch 9128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9128With loss 0.1267430099331721 epoch: 9129 Epoch 9129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9129With loss 0.1267430099331721 epoch: 9130 Epoch 9130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9130With loss 0.1267430099331721 epoch: 9131 Epoch 9131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9131With loss 0.1267430099331721 epoch: 9132 Epoch 9132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9132With loss 0.1267430099331721 epoch: 9133 Epoch 9133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9133With loss 0.1267430099331721 epoch: 9134 Epoch 9134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9134With loss 0.1267430099331721 epoch: 9135 Epoch 9135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9135With loss 0.1267430099331721 epoch: 9136 Epoch 9136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9136With loss 0.1267430099331721 epoch: 9137 Epoch 9137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9137With loss 0.1267430099331721 epoch: 9138 Epoch 9138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9138With loss 0.1267430099331721 epoch: 9139 Epoch 9139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9139With loss 0.1267430099331721 epoch: 9140 Epoch 9140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9140With loss 0.1267430099331721 epoch: 9141 Epoch 9141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9141With loss 0.1267430099331721 epoch: 9142 Epoch 9142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9142With loss 0.1267430099331721 epoch: 9143 Epoch 9143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9143With loss 0.1267430099331721 epoch: 9144 Epoch 9144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9144With loss 0.1267430099331721 epoch: 9145 Epoch 9145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9145With loss 0.1267430099331721 epoch: 9146 Epoch 9146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9146With loss 0.1267430099331721 epoch: 9147 Epoch 9147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9147With loss 0.1267430099331721 epoch: 9148 Epoch 9148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9148With loss 0.1267430099331721 epoch: 9149 Epoch 9149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9149With loss 0.1267430099331721 epoch: 9150 Epoch 9150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9150With loss 0.1267430099331721 epoch: 9151 Epoch 9151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9151With loss 0.1267430099331721 epoch: 9152 Epoch 9152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9152With loss 0.1267430099331721 epoch: 9153 Epoch 9153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9153With loss 0.1267430099331721 epoch: 9154 Epoch 9154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9154With loss 0.1267430099331721 epoch: 9155 Epoch 9155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9155With loss 0.1267430099331721 epoch: 9156 Epoch 9156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9156With loss 0.1267430099331721 epoch: 9157 Epoch 9157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9157With loss 0.1267430099331721 epoch: 9158 Epoch 9158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9158With loss 0.1267430099331721 epoch: 9159 Epoch 9159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9159With loss 0.1267430099331721 epoch: 9160 Epoch 9160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9160With loss 0.1267430099331721 epoch: 9161 Epoch 9161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9161With loss 0.1267430099331721 epoch: 9162 Epoch 9162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9162With loss 0.1267430099331721 epoch: 9163 Epoch 9163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9163With loss 0.1267430099331721 epoch: 9164 Epoch 9164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9164With loss 0.1267430099331721 epoch: 9165 Epoch 9165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9165With loss 0.1267430099331721 epoch: 9166 Epoch 9166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9166With loss 0.1267430099331721 epoch: 9167 Epoch 9167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9167With loss 0.1267430099331721 epoch: 9168 Epoch 9168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9168With loss 0.1267430099331721 epoch: 9169 Epoch 9169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9169With loss 0.1267430099331721 epoch: 9170 Epoch 9170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9170With loss 0.1267430099331721 epoch: 9171 Epoch 9171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9171With loss 0.1267430099331721 epoch: 9172 Epoch 9172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9172With loss 0.1267430099331721 epoch: 9173 Epoch 9173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9173With loss 0.1267430099331721 epoch: 9174 Epoch 9174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9174With loss 0.1267430099331721 epoch: 9175 Epoch 9175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9175With loss 0.1267430099331721 epoch: 9176 Epoch 9176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9176With loss 0.1267430099331721 epoch: 9177 Epoch 9177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9177With loss 0.1267430099331721 epoch: 9178 Epoch 9178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9178With loss 0.1267430099331721 epoch: 9179 Epoch 9179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9179With loss 0.1267430099331721 epoch: 9180 Epoch 9180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9180With loss 0.1267430099331721 epoch: 9181 Epoch 9181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9181With loss 0.1267430099331721 epoch: 9182 Epoch 9182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9182With loss 0.1267430099331721 epoch: 9183 Epoch 9183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9183With loss 0.1267430099331721 epoch: 9184 Epoch 9184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9184With loss 0.1267430099331721 epoch: 9185 Epoch 9185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9185With loss 0.1267430099331721 epoch: 9186 Epoch 9186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9186With loss 0.1267430099331721 epoch: 9187 Epoch 9187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9187With loss 0.1267430099331721 epoch: 9188 Epoch 9188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9188With loss 0.1267430099331721 epoch: 9189 Epoch 9189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9189With loss 0.1267430099331721 epoch: 9190 Epoch 9190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9190With loss 0.1267430099331721 epoch: 9191 Epoch 9191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9191With loss 0.1267430099331721 epoch: 9192 Epoch 9192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9192With loss 0.1267430099331721 epoch: 9193 Epoch 9193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9193With loss 0.1267430099331721 epoch: 9194 Epoch 9194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9194With loss 0.1267430099331721 epoch: 9195 Epoch 9195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9195With loss 0.1267430099331721 epoch: 9196 Epoch 9196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9196With loss 0.1267430099331721 epoch: 9197 Epoch 9197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9197With loss 0.1267430099331721 epoch: 9198 Epoch 9198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9198With loss 0.1267430099331721 epoch: 9199 Epoch 9199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9199With loss 0.1267430099331721 epoch: 9200 Epoch 9200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9200With loss 0.1267430099331721 epoch: 9201 Epoch 9201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9201With loss 0.1267430099331721 epoch: 9202 Epoch 9202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9202With loss 0.1267430099331721 epoch: 9203 Epoch 9203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9203With loss 0.1267430099331721 epoch: 9204 Epoch 9204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9204With loss 0.1267430099331721 epoch: 9205 Epoch 9205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9205With loss 0.1267430099331721 epoch: 9206 Epoch 9206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9206With loss 0.1267430099331721 epoch: 9207 Epoch 9207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9207With loss 0.1267430099331721 epoch: 9208 Epoch 9208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9208With loss 0.1267430099331721 epoch: 9209 Epoch 9209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9209With loss 0.1267430099331721 epoch: 9210 Epoch 9210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9210With loss 0.1267430099331721 epoch: 9211 Epoch 9211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9211With loss 0.1267430099331721 epoch: 9212 Epoch 9212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9212With loss 0.1267430099331721 epoch: 9213 Epoch 9213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9213With loss 0.1267430099331721 epoch: 9214 Epoch 9214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9214With loss 0.1267430099331721 epoch: 9215 Epoch 9215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9215With loss 0.1267430099331721 epoch: 9216 Epoch 9216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9216With loss 0.1267430099331721 epoch: 9217 Epoch 9217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9217With loss 0.1267430099331721 epoch: 9218 Epoch 9218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9218With loss 0.1267430099331721 epoch: 9219 Epoch 9219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9219With loss 0.1267430099331721 epoch: 9220 Epoch 9220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9220With loss 0.1267430099331721 epoch: 9221 Epoch 9221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9221With loss 0.1267430099331721 epoch: 9222 Epoch 9222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9222With loss 0.1267430099331721 epoch: 9223 Epoch 9223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9223With loss 0.1267430099331721 epoch: 9224 Epoch 9224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9224With loss 0.1267430099331721 epoch: 9225 Epoch 9225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9225With loss 0.1267430099331721 epoch: 9226 Epoch 9226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9226With loss 0.1267430099331721 epoch: 9227 Epoch 9227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9227With loss 0.1267430099331721 epoch: 9228 Epoch 9228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9228With loss 0.1267430099331721 epoch: 9229 Epoch 9229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9229With loss 0.1267430099331721 epoch: 9230 Epoch 9230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9230With loss 0.1267430099331721 epoch: 9231 Epoch 9231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9231With loss 0.1267430099331721 epoch: 9232 Epoch 9232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9232With loss 0.1267430099331721 epoch: 9233 Epoch 9233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9233With loss 0.1267430099331721 epoch: 9234 Epoch 9234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9234With loss 0.1267430099331721 epoch: 9235 Epoch 9235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9235With loss 0.1267430099331721 epoch: 9236 Epoch 9236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9236With loss 0.1267430099331721 epoch: 9237 Epoch 9237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9237With loss 0.1267430099331721 epoch: 9238 Epoch 9238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9238With loss 0.1267430099331721 epoch: 9239 Epoch 9239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9239With loss 0.1267430099331721 epoch: 9240 Epoch 9240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9240With loss 0.1267430099331721 epoch: 9241 Epoch 9241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9241With loss 0.1267430099331721 epoch: 9242 Epoch 9242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9242With loss 0.1267430099331721 epoch: 9243 Epoch 9243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9243With loss 0.1267430099331721 epoch: 9244 Epoch 9244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9244With loss 0.1267430099331721 epoch: 9245 Epoch 9245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9245With loss 0.1267430099331721 epoch: 9246 Epoch 9246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9246With loss 0.1267430099331721 epoch: 9247 Epoch 9247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9247With loss 0.1267430099331721 epoch: 9248 Epoch 9248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9248With loss 0.1267430099331721 epoch: 9249 Epoch 9249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9249With loss 0.1267430099331721 epoch: 9250 Epoch 9250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9250With loss 0.1267430099331721 epoch: 9251 Epoch 9251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9251With loss 0.1267430099331721 epoch: 9252 Epoch 9252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9252With loss 0.1267430099331721 epoch: 9253 Epoch 9253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9253With loss 0.1267430099331721 epoch: 9254 Epoch 9254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9254With loss 0.1267430099331721 epoch: 9255 Epoch 9255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9255With loss 0.1267430099331721 epoch: 9256 Epoch 9256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9256With loss 0.1267430099331721 epoch: 9257 Epoch 9257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9257With loss 0.1267430099331721 epoch: 9258 Epoch 9258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9258With loss 0.1267430099331721 epoch: 9259 Epoch 9259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9259With loss 0.1267430099331721 epoch: 9260 Epoch 9260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9260With loss 0.1267430099331721 epoch: 9261 Epoch 9261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9261With loss 0.1267430099331721 epoch: 9262 Epoch 9262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9262With loss 0.1267430099331721 epoch: 9263 Epoch 9263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9263With loss 0.1267430099331721 epoch: 9264 Epoch 9264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9264With loss 0.1267430099331721 epoch: 9265 Epoch 9265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9265With loss 0.1267430099331721 epoch: 9266 Epoch 9266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9266With loss 0.1267430099331721 epoch: 9267 Epoch 9267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9267With loss 0.1267430099331721 epoch: 9268 Epoch 9268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9268With loss 0.1267430099331721 epoch: 9269 Epoch 9269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9269With loss 0.1267430099331721 epoch: 9270 Epoch 9270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9270With loss 0.1267430099331721 epoch: 9271 Epoch 9271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9271With loss 0.1267430099331721 epoch: 9272 Epoch 9272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9272With loss 0.1267430099331721 epoch: 9273 Epoch 9273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9273With loss 0.1267430099331721 epoch: 9274 Epoch 9274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9274With loss 0.1267430099331721 epoch: 9275 Epoch 9275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9275With loss 0.1267430099331721 epoch: 9276 Epoch 9276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9276With loss 0.1267430099331721 epoch: 9277 Epoch 9277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9277With loss 0.1267430099331721 epoch: 9278 Epoch 9278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9278With loss 0.1267430099331721 epoch: 9279 Epoch 9279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9279With loss 0.1267430099331721 epoch: 9280 Epoch 9280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9280With loss 0.1267430099331721 epoch: 9281 Epoch 9281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9281With loss 0.1267430099331721 epoch: 9282 Epoch 9282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9282With loss 0.1267430099331721 epoch: 9283 Epoch 9283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9283With loss 0.1267430099331721 epoch: 9284 Epoch 9284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9284With loss 0.1267430099331721 epoch: 9285 Epoch 9285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9285With loss 0.1267430099331721 epoch: 9286 Epoch 9286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9286With loss 0.1267430099331721 epoch: 9287 Epoch 9287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9287With loss 0.1267430099331721 epoch: 9288 Epoch 9288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9288With loss 0.1267430099331721 epoch: 9289 Epoch 9289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9289With loss 0.1267430099331721 epoch: 9290 Epoch 9290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9290With loss 0.1267430099331721 epoch: 9291 Epoch 9291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9291With loss 0.1267430099331721 epoch: 9292 Epoch 9292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9292With loss 0.1267430099331721 epoch: 9293 Epoch 9293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9293With loss 0.1267430099331721 epoch: 9294 Epoch 9294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9294With loss 0.1267430099331721 epoch: 9295 Epoch 9295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9295With loss 0.1267430099331721 epoch: 9296 Epoch 9296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9296With loss 0.1267430099331721 epoch: 9297 Epoch 9297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9297With loss 0.1267430099331721 epoch: 9298 Epoch 9298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9298With loss 0.1267430099331721 epoch: 9299 Epoch 9299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9299With loss 0.1267430099331721 epoch: 9300 Epoch 9300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9300With loss 0.1267430099331721 epoch: 9301 Epoch 9301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9301With loss 0.1267430099331721 epoch: 9302 Epoch 9302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9302With loss 0.1267430099331721 epoch: 9303 Epoch 9303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9303With loss 0.1267430099331721 epoch: 9304 Epoch 9304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9304With loss 0.1267430099331721 epoch: 9305 Epoch 9305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9305With loss 0.1267430099331721 epoch: 9306 Epoch 9306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9306With loss 0.1267430099331721 epoch: 9307 Epoch 9307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9307With loss 0.1267430099331721 epoch: 9308 Epoch 9308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9308With loss 0.1267430099331721 epoch: 9309 Epoch 9309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9309With loss 0.1267430099331721 epoch: 9310 Epoch 9310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9310With loss 0.1267430099331721 epoch: 9311 Epoch 9311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9311With loss 0.1267430099331721 epoch: 9312 Epoch 9312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9312With loss 0.1267430099331721 epoch: 9313 Epoch 9313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9313With loss 0.1267430099331721 epoch: 9314 Epoch 9314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9314With loss 0.1267430099331721 epoch: 9315 Epoch 9315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9315With loss 0.1267430099331721 epoch: 9316 Epoch 9316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9316With loss 0.1267430099331721 epoch: 9317 Epoch 9317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9317With loss 0.1267430099331721 epoch: 9318 Epoch 9318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9318With loss 0.1267430099331721 epoch: 9319 Epoch 9319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9319With loss 0.1267430099331721 epoch: 9320 Epoch 9320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9320With loss 0.1267430099331721 epoch: 9321 Epoch 9321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9321With loss 0.1267430099331721 epoch: 9322 Epoch 9322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9322With loss 0.1267430099331721 epoch: 9323 Epoch 9323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9323With loss 0.1267430099331721 epoch: 9324 Epoch 9324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9324With loss 0.1267430099331721 epoch: 9325 Epoch 9325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9325With loss 0.1267430099331721 epoch: 9326 Epoch 9326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9326With loss 0.1267430099331721 epoch: 9327 Epoch 9327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9327With loss 0.1267430099331721 epoch: 9328 Epoch 9328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9328With loss 0.1267430099331721 epoch: 9329 Epoch 9329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9329With loss 0.1267430099331721 epoch: 9330 Epoch 9330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9330With loss 0.1267430099331721 epoch: 9331 Epoch 9331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9331With loss 0.1267430099331721 epoch: 9332 Epoch 9332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9332With loss 0.1267430099331721 epoch: 9333 Epoch 9333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9333With loss 0.1267430099331721 epoch: 9334 Epoch 9334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9334With loss 0.1267430099331721 epoch: 9335 Epoch 9335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9335With loss 0.1267430099331721 epoch: 9336 Epoch 9336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9336With loss 0.1267430099331721 epoch: 9337 Epoch 9337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9337With loss 0.1267430099331721 epoch: 9338 Epoch 9338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9338With loss 0.1267430099331721 epoch: 9339 Epoch 9339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9339With loss 0.1267430099331721 epoch: 9340 Epoch 9340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9340With loss 0.1267430099331721 epoch: 9341 Epoch 9341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9341With loss 0.1267430099331721 epoch: 9342 Epoch 9342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9342With loss 0.1267430099331721 epoch: 9343 Epoch 9343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9343With loss 0.1267430099331721 epoch: 9344 Epoch 9344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9344With loss 0.1267430099331721 epoch: 9345 Epoch 9345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9345With loss 0.1267430099331721 epoch: 9346 Epoch 9346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9346With loss 0.1267430099331721 epoch: 9347 Epoch 9347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9347With loss 0.1267430099331721 epoch: 9348 Epoch 9348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9348With loss 0.1267430099331721 epoch: 9349 Epoch 9349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9349With loss 0.1267430099331721 epoch: 9350 Epoch 9350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9350With loss 0.1267430099331721 epoch: 9351 Epoch 9351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9351With loss 0.1267430099331721 epoch: 9352 Epoch 9352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9352With loss 0.1267430099331721 epoch: 9353 Epoch 9353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9353With loss 0.1267430099331721 epoch: 9354 Epoch 9354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9354With loss 0.1267430099331721 epoch: 9355 Epoch 9355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9355With loss 0.1267430099331721 epoch: 9356 Epoch 9356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9356With loss 0.1267430099331721 epoch: 9357 Epoch 9357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9357With loss 0.1267430099331721 epoch: 9358 Epoch 9358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9358With loss 0.1267430099331721 epoch: 9359 Epoch 9359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9359With loss 0.1267430099331721 epoch: 9360 Epoch 9360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9360With loss 0.1267430099331721 epoch: 9361 Epoch 9361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9361With loss 0.1267430099331721 epoch: 9362 Epoch 9362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9362With loss 0.1267430099331721 epoch: 9363 Epoch 9363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9363With loss 0.1267430099331721 epoch: 9364 Epoch 9364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9364With loss 0.1267430099331721 epoch: 9365 Epoch 9365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9365With loss 0.1267430099331721 epoch: 9366 Epoch 9366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9366With loss 0.1267430099331721 epoch: 9367 Epoch 9367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9367With loss 0.1267430099331721 epoch: 9368 Epoch 9368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9368With loss 0.1267430099331721 epoch: 9369 Epoch 9369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9369With loss 0.1267430099331721 epoch: 9370 Epoch 9370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9370With loss 0.1267430099331721 epoch: 9371 Epoch 9371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9371With loss 0.1267430099331721 epoch: 9372 Epoch 9372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9372With loss 0.1267430099331721 epoch: 9373 Epoch 9373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9373With loss 0.1267430099331721 epoch: 9374 Epoch 9374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9374With loss 0.1267430099331721 epoch: 9375 Epoch 9375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9375With loss 0.1267430099331721 epoch: 9376 Epoch 9376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9376With loss 0.1267430099331721 epoch: 9377 Epoch 9377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9377With loss 0.1267430099331721 epoch: 9378 Epoch 9378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9378With loss 0.1267430099331721 epoch: 9379 Epoch 9379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9379With loss 0.1267430099331721 epoch: 9380 Epoch 9380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9380With loss 0.1267430099331721 epoch: 9381 Epoch 9381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9381With loss 0.1267430099331721 epoch: 9382 Epoch 9382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9382With loss 0.1267430099331721 epoch: 9383 Epoch 9383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9383With loss 0.1267430099331721 epoch: 9384 Epoch 9384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9384With loss 0.1267430099331721 epoch: 9385 Epoch 9385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9385With loss 0.1267430099331721 epoch: 9386 Epoch 9386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9386With loss 0.1267430099331721 epoch: 9387 Epoch 9387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9387With loss 0.1267430099331721 epoch: 9388 Epoch 9388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9388With loss 0.1267430099331721 epoch: 9389 Epoch 9389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9389With loss 0.1267430099331721 epoch: 9390 Epoch 9390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9390With loss 0.1267430099331721 epoch: 9391 Epoch 9391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9391With loss 0.1267430099331721 epoch: 9392 Epoch 9392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9392With loss 0.1267430099331721 epoch: 9393 Epoch 9393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9393With loss 0.1267430099331721 epoch: 9394 Epoch 9394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9394With loss 0.1267430099331721 epoch: 9395 Epoch 9395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9395With loss 0.1267430099331721 epoch: 9396 Epoch 9396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9396With loss 0.1267430099331721 epoch: 9397 Epoch 9397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9397With loss 0.1267430099331721 epoch: 9398 Epoch 9398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9398With loss 0.1267430099331721 epoch: 9399 Epoch 9399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9399With loss 0.1267430099331721 epoch: 9400 Epoch 9400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9400With loss 0.1267430099331721 epoch: 9401 Epoch 9401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9401With loss 0.1267430099331721 epoch: 9402 Epoch 9402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9402With loss 0.1267430099331721 epoch: 9403 Epoch 9403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9403With loss 0.1267430099331721 epoch: 9404 Epoch 9404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9404With loss 0.1267430099331721 epoch: 9405 Epoch 9405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9405With loss 0.1267430099331721 epoch: 9406 Epoch 9406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9406With loss 0.1267430099331721 epoch: 9407 Epoch 9407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9407With loss 0.1267430099331721 epoch: 9408 Epoch 9408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9408With loss 0.1267430099331721 epoch: 9409 Epoch 9409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9409With loss 0.1267430099331721 epoch: 9410 Epoch 9410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9410With loss 0.1267430099331721 epoch: 9411 Epoch 9411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9411With loss 0.1267430099331721 epoch: 9412 Epoch 9412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9412With loss 0.1267430099331721 epoch: 9413 Epoch 9413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9413With loss 0.1267430099331721 epoch: 9414 Epoch 9414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9414With loss 0.1267430099331721 epoch: 9415 Epoch 9415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9415With loss 0.1267430099331721 epoch: 9416 Epoch 9416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9416With loss 0.1267430099331721 epoch: 9417 Epoch 9417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9417With loss 0.1267430099331721 epoch: 9418 Epoch 9418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9418With loss 0.1267430099331721 epoch: 9419 Epoch 9419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9419With loss 0.1267430099331721 epoch: 9420 Epoch 9420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9420With loss 0.1267430099331721 epoch: 9421 Epoch 9421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9421With loss 0.1267430099331721 epoch: 9422 Epoch 9422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9422With loss 0.1267430099331721 epoch: 9423 Epoch 9423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9423With loss 0.1267430099331721 epoch: 9424 Epoch 9424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9424With loss 0.1267430099331721 epoch: 9425 Epoch 9425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9425With loss 0.1267430099331721 epoch: 9426 Epoch 9426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9426With loss 0.1267430099331721 epoch: 9427 Epoch 9427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9427With loss 0.1267430099331721 epoch: 9428 Epoch 9428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9428With loss 0.1267430099331721 epoch: 9429 Epoch 9429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9429With loss 0.1267430099331721 epoch: 9430 Epoch 9430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9430With loss 0.1267430099331721 epoch: 9431 Epoch 9431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9431With loss 0.1267430099331721 epoch: 9432 Epoch 9432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9432With loss 0.1267430099331721 epoch: 9433 Epoch 9433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9433With loss 0.1267430099331721 epoch: 9434 Epoch 9434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9434With loss 0.1267430099331721 epoch: 9435 Epoch 9435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9435With loss 0.1267430099331721 epoch: 9436 Epoch 9436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9436With loss 0.1267430099331721 epoch: 9437 Epoch 9437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9437With loss 0.1267430099331721 epoch: 9438 Epoch 9438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9438With loss 0.1267430099331721 epoch: 9439 Epoch 9439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9439With loss 0.1267430099331721 epoch: 9440 Epoch 9440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9440With loss 0.1267430099331721 epoch: 9441 Epoch 9441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9441With loss 0.1267430099331721 epoch: 9442 Epoch 9442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9442With loss 0.1267430099331721 epoch: 9443 Epoch 9443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9443With loss 0.1267430099331721 epoch: 9444 Epoch 9444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9444With loss 0.1267430099331721 epoch: 9445 Epoch 9445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9445With loss 0.1267430099331721 epoch: 9446 Epoch 9446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9446With loss 0.1267430099331721 epoch: 9447 Epoch 9447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9447With loss 0.1267430099331721 epoch: 9448 Epoch 9448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9448With loss 0.1267430099331721 epoch: 9449 Epoch 9449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9449With loss 0.1267430099331721 epoch: 9450 Epoch 9450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9450With loss 0.1267430099331721 epoch: 9451 Epoch 9451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9451With loss 0.1267430099331721 epoch: 9452 Epoch 9452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9452With loss 0.1267430099331721 epoch: 9453 Epoch 9453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9453With loss 0.1267430099331721 epoch: 9454 Epoch 9454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9454With loss 0.1267430099331721 epoch: 9455 Epoch 9455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9455With loss 0.1267430099331721 epoch: 9456 Epoch 9456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9456With loss 0.1267430099331721 epoch: 9457 Epoch 9457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9457With loss 0.1267430099331721 epoch: 9458 Epoch 9458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9458With loss 0.1267430099331721 epoch: 9459 Epoch 9459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9459With loss 0.1267430099331721 epoch: 9460 Epoch 9460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9460With loss 0.1267430099331721 epoch: 9461 Epoch 9461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9461With loss 0.1267430099331721 epoch: 9462 Epoch 9462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9462With loss 0.1267430099331721 epoch: 9463 Epoch 9463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9463With loss 0.1267430099331721 epoch: 9464 Epoch 9464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9464With loss 0.1267430099331721 epoch: 9465 Epoch 9465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9465With loss 0.1267430099331721 epoch: 9466 Epoch 9466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9466With loss 0.1267430099331721 epoch: 9467 Epoch 9467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9467With loss 0.1267430099331721 epoch: 9468 Epoch 9468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9468With loss 0.1267430099331721 epoch: 9469 Epoch 9469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9469With loss 0.1267430099331721 epoch: 9470 Epoch 9470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9470With loss 0.1267430099331721 epoch: 9471 Epoch 9471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9471With loss 0.1267430099331721 epoch: 9472 Epoch 9472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9472With loss 0.1267430099331721 epoch: 9473 Epoch 9473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9473With loss 0.1267430099331721 epoch: 9474 Epoch 9474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9474With loss 0.1267430099331721 epoch: 9475 Epoch 9475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9475With loss 0.1267430099331721 epoch: 9476 Epoch 9476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9476With loss 0.1267430099331721 epoch: 9477 Epoch 9477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9477With loss 0.1267430099331721 epoch: 9478 Epoch 9478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9478With loss 0.1267430099331721 epoch: 9479 Epoch 9479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9479With loss 0.1267430099331721 epoch: 9480 Epoch 9480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9480With loss 0.1267430099331721 epoch: 9481 Epoch 9481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9481With loss 0.1267430099331721 epoch: 9482 Epoch 9482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9482With loss 0.1267430099331721 epoch: 9483 Epoch 9483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9483With loss 0.1267430099331721 epoch: 9484 Epoch 9484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9484With loss 0.1267430099331721 epoch: 9485 Epoch 9485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9485With loss 0.1267430099331721 epoch: 9486 Epoch 9486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9486With loss 0.1267430099331721 epoch: 9487 Epoch 9487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9487With loss 0.1267430099331721 epoch: 9488 Epoch 9488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9488With loss 0.1267430099331721 epoch: 9489 Epoch 9489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9489With loss 0.1267430099331721 epoch: 9490 Epoch 9490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9490With loss 0.1267430099331721 epoch: 9491 Epoch 9491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9491With loss 0.1267430099331721 epoch: 9492 Epoch 9492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9492With loss 0.1267430099331721 epoch: 9493 Epoch 9493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9493With loss 0.1267430099331721 epoch: 9494 Epoch 9494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9494With loss 0.1267430099331721 epoch: 9495 Epoch 9495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9495With loss 0.1267430099331721 epoch: 9496 Epoch 9496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9496With loss 0.1267430099331721 epoch: 9497 Epoch 9497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9497With loss 0.1267430099331721 epoch: 9498 Epoch 9498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9498With loss 0.1267430099331721 epoch: 9499 Epoch 9499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9499With loss 0.1267430099331721 epoch: 9500 Epoch 9500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9500With loss 0.1267430099331721 epoch: 9501 Epoch 9501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9501With loss 0.1267430099331721 epoch: 9502 Epoch 9502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9502With loss 0.1267430099331721 epoch: 9503 Epoch 9503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9503With loss 0.1267430099331721 epoch: 9504 Epoch 9504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9504With loss 0.1267430099331721 epoch: 9505 Epoch 9505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9505With loss 0.1267430099331721 epoch: 9506 Epoch 9506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9506With loss 0.1267430099331721 epoch: 9507 Epoch 9507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9507With loss 0.1267430099331721 epoch: 9508 Epoch 9508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9508With loss 0.1267430099331721 epoch: 9509 Epoch 9509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9509With loss 0.1267430099331721 epoch: 9510 Epoch 9510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9510With loss 0.1267430099331721 epoch: 9511 Epoch 9511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9511With loss 0.1267430099331721 epoch: 9512 Epoch 9512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9512With loss 0.1267430099331721 epoch: 9513 Epoch 9513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9513With loss 0.1267430099331721 epoch: 9514 Epoch 9514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9514With loss 0.1267430099331721 epoch: 9515 Epoch 9515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9515With loss 0.1267430099331721 epoch: 9516 Epoch 9516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9516With loss 0.1267430099331721 epoch: 9517 Epoch 9517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9517With loss 0.1267430099331721 epoch: 9518 Epoch 9518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9518With loss 0.1267430099331721 epoch: 9519 Epoch 9519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9519With loss 0.1267430099331721 epoch: 9520 Epoch 9520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9520With loss 0.1267430099331721 epoch: 9521 Epoch 9521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9521With loss 0.1267430099331721 epoch: 9522 Epoch 9522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9522With loss 0.1267430099331721 epoch: 9523 Epoch 9523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9523With loss 0.1267430099331721 epoch: 9524 Epoch 9524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9524With loss 0.1267430099331721 epoch: 9525 Epoch 9525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9525With loss 0.1267430099331721 epoch: 9526 Epoch 9526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9526With loss 0.1267430099331721 epoch: 9527 Epoch 9527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9527With loss 0.1267430099331721 epoch: 9528 Epoch 9528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9528With loss 0.1267430099331721 epoch: 9529 Epoch 9529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9529With loss 0.1267430099331721 epoch: 9530 Epoch 9530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9530With loss 0.1267430099331721 epoch: 9531 Epoch 9531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9531With loss 0.1267430099331721 epoch: 9532 Epoch 9532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9532With loss 0.1267430099331721 epoch: 9533 Epoch 9533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9533With loss 0.1267430099331721 epoch: 9534 Epoch 9534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9534With loss 0.1267430099331721 epoch: 9535 Epoch 9535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9535With loss 0.1267430099331721 epoch: 9536 Epoch 9536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9536With loss 0.1267430099331721 epoch: 9537 Epoch 9537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9537With loss 0.1267430099331721 epoch: 9538 Epoch 9538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9538With loss 0.1267430099331721 epoch: 9539 Epoch 9539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9539With loss 0.1267430099331721 epoch: 9540 Epoch 9540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9540With loss 0.1267430099331721 epoch: 9541 Epoch 9541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9541With loss 0.1267430099331721 epoch: 9542 Epoch 9542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9542With loss 0.1267430099331721 epoch: 9543 Epoch 9543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9543With loss 0.1267430099331721 epoch: 9544 Epoch 9544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9544With loss 0.1267430099331721 epoch: 9545 Epoch 9545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9545With loss 0.1267430099331721 epoch: 9546 Epoch 9546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9546With loss 0.1267430099331721 epoch: 9547 Epoch 9547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9547With loss 0.1267430099331721 epoch: 9548 Epoch 9548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9548With loss 0.1267430099331721 epoch: 9549 Epoch 9549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9549With loss 0.1267430099331721 epoch: 9550 Epoch 9550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9550With loss 0.1267430099331721 epoch: 9551 Epoch 9551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9551With loss 0.1267430099331721 epoch: 9552 Epoch 9552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9552With loss 0.1267430099331721 epoch: 9553 Epoch 9553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9553With loss 0.1267430099331721 epoch: 9554 Epoch 9554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9554With loss 0.1267430099331721 epoch: 9555 Epoch 9555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9555With loss 0.1267430099331721 epoch: 9556 Epoch 9556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9556With loss 0.1267430099331721 epoch: 9557 Epoch 9557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9557With loss 0.1267430099331721 epoch: 9558 Epoch 9558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9558With loss 0.1267430099331721 epoch: 9559 Epoch 9559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9559With loss 0.1267430099331721 epoch: 9560 Epoch 9560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9560With loss 0.1267430099331721 epoch: 9561 Epoch 9561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9561With loss 0.1267430099331721 epoch: 9562 Epoch 9562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9562With loss 0.1267430099331721 epoch: 9563 Epoch 9563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9563With loss 0.1267430099331721 epoch: 9564 Epoch 9564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9564With loss 0.1267430099331721 epoch: 9565 Epoch 9565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9565With loss 0.1267430099331721 epoch: 9566 Epoch 9566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9566With loss 0.1267430099331721 epoch: 9567 Epoch 9567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9567With loss 0.1267430099331721 epoch: 9568 Epoch 9568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9568With loss 0.1267430099331721 epoch: 9569 Epoch 9569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9569With loss 0.1267430099331721 epoch: 9570 Epoch 9570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9570With loss 0.1267430099331721 epoch: 9571 Epoch 9571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9571With loss 0.1267430099331721 epoch: 9572 Epoch 9572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9572With loss 0.1267430099331721 epoch: 9573 Epoch 9573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9573With loss 0.1267430099331721 epoch: 9574 Epoch 9574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9574With loss 0.1267430099331721 epoch: 9575 Epoch 9575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9575With loss 0.1267430099331721 epoch: 9576 Epoch 9576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9576With loss 0.1267430099331721 epoch: 9577 Epoch 9577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9577With loss 0.1267430099331721 epoch: 9578 Epoch 9578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9578With loss 0.1267430099331721 epoch: 9579 Epoch 9579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9579With loss 0.1267430099331721 epoch: 9580 Epoch 9580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9580With loss 0.1267430099331721 epoch: 9581 Epoch 9581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9581With loss 0.1267430099331721 epoch: 9582 Epoch 9582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9582With loss 0.1267430099331721 epoch: 9583 Epoch 9583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9583With loss 0.1267430099331721 epoch: 9584 Epoch 9584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9584With loss 0.1267430099331721 epoch: 9585 Epoch 9585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9585With loss 0.1267430099331721 epoch: 9586 Epoch 9586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9586With loss 0.1267430099331721 epoch: 9587 Epoch 9587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9587With loss 0.1267430099331721 epoch: 9588 Epoch 9588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9588With loss 0.1267430099331721 epoch: 9589 Epoch 9589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9589With loss 0.1267430099331721 epoch: 9590 Epoch 9590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9590With loss 0.1267430099331721 epoch: 9591 Epoch 9591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9591With loss 0.1267430099331721 epoch: 9592 Epoch 9592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9592With loss 0.1267430099331721 epoch: 9593 Epoch 9593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9593With loss 0.1267430099331721 epoch: 9594 Epoch 9594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9594With loss 0.1267430099331721 epoch: 9595 Epoch 9595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9595With loss 0.1267430099331721 epoch: 9596 Epoch 9596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9596With loss 0.1267430099331721 epoch: 9597 Epoch 9597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9597With loss 0.1267430099331721 epoch: 9598 Epoch 9598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9598With loss 0.1267430099331721 epoch: 9599 Epoch 9599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9599With loss 0.1267430099331721 epoch: 9600 Epoch 9600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9600With loss 0.1267430099331721 epoch: 9601 Epoch 9601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9601With loss 0.1267430099331721 epoch: 9602 Epoch 9602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9602With loss 0.1267430099331721 epoch: 9603 Epoch 9603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9603With loss 0.1267430099331721 epoch: 9604 Epoch 9604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9604With loss 0.1267430099331721 epoch: 9605 Epoch 9605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9605With loss 0.1267430099331721 epoch: 9606 Epoch 9606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9606With loss 0.1267430099331721 epoch: 9607 Epoch 9607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9607With loss 0.1267430099331721 epoch: 9608 Epoch 9608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9608With loss 0.1267430099331721 epoch: 9609 Epoch 9609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9609With loss 0.1267430099331721 epoch: 9610 Epoch 9610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9610With loss 0.1267430099331721 epoch: 9611 Epoch 9611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9611With loss 0.1267430099331721 epoch: 9612 Epoch 9612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9612With loss 0.1267430099331721 epoch: 9613 Epoch 9613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9613With loss 0.1267430099331721 epoch: 9614 Epoch 9614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9614With loss 0.1267430099331721 epoch: 9615 Epoch 9615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9615With loss 0.1267430099331721 epoch: 9616 Epoch 9616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9616With loss 0.1267430099331721 epoch: 9617 Epoch 9617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9617With loss 0.1267430099331721 epoch: 9618 Epoch 9618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9618With loss 0.1267430099331721 epoch: 9619 Epoch 9619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9619With loss 0.1267430099331721 epoch: 9620 Epoch 9620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9620With loss 0.1267430099331721 epoch: 9621 Epoch 9621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9621With loss 0.1267430099331721 epoch: 9622 Epoch 9622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9622With loss 0.1267430099331721 epoch: 9623 Epoch 9623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9623With loss 0.1267430099331721 epoch: 9624 Epoch 9624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9624With loss 0.1267430099331721 epoch: 9625 Epoch 9625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9625With loss 0.1267430099331721 epoch: 9626 Epoch 9626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9626With loss 0.1267430099331721 epoch: 9627 Epoch 9627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9627With loss 0.1267430099331721 epoch: 9628 Epoch 9628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9628With loss 0.1267430099331721 epoch: 9629 Epoch 9629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9629With loss 0.1267430099331721 epoch: 9630 Epoch 9630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9630With loss 0.1267430099331721 epoch: 9631 Epoch 9631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9631With loss 0.1267430099331721 epoch: 9632 Epoch 9632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9632With loss 0.1267430099331721 epoch: 9633 Epoch 9633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9633With loss 0.1267430099331721 epoch: 9634 Epoch 9634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9634With loss 0.1267430099331721 epoch: 9635 Epoch 9635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9635With loss 0.1267430099331721 epoch: 9636 Epoch 9636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9636With loss 0.1267430099331721 epoch: 9637 Epoch 9637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9637With loss 0.1267430099331721 epoch: 9638 Epoch 9638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9638With loss 0.1267430099331721 epoch: 9639 Epoch 9639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9639With loss 0.1267430099331721 epoch: 9640 Epoch 9640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9640With loss 0.1267430099331721 epoch: 9641 Epoch 9641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9641With loss 0.1267430099331721 epoch: 9642 Epoch 9642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9642With loss 0.1267430099331721 epoch: 9643 Epoch 9643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9643With loss 0.1267430099331721 epoch: 9644 Epoch 9644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9644With loss 0.1267430099331721 epoch: 9645 Epoch 9645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9645With loss 0.1267430099331721 epoch: 9646 Epoch 9646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9646With loss 0.1267430099331721 epoch: 9647 Epoch 9647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9647With loss 0.1267430099331721 epoch: 9648 Epoch 9648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9648With loss 0.1267430099331721 epoch: 9649 Epoch 9649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9649With loss 0.1267430099331721 epoch: 9650 Epoch 9650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9650With loss 0.1267430099331721 epoch: 9651 Epoch 9651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9651With loss 0.1267430099331721 epoch: 9652 Epoch 9652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9652With loss 0.1267430099331721 epoch: 9653 Epoch 9653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9653With loss 0.1267430099331721 epoch: 9654 Epoch 9654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9654With loss 0.1267430099331721 epoch: 9655 Epoch 9655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9655With loss 0.1267430099331721 epoch: 9656 Epoch 9656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9656With loss 0.1267430099331721 epoch: 9657 Epoch 9657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9657With loss 0.1267430099331721 epoch: 9658 Epoch 9658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9658With loss 0.1267430099331721 epoch: 9659 Epoch 9659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9659With loss 0.1267430099331721 epoch: 9660 Epoch 9660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9660With loss 0.1267430099331721 epoch: 9661 Epoch 9661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9661With loss 0.1267430099331721 epoch: 9662 Epoch 9662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9662With loss 0.1267430099331721 epoch: 9663 Epoch 9663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9663With loss 0.1267430099331721 epoch: 9664 Epoch 9664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9664With loss 0.1267430099331721 epoch: 9665 Epoch 9665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9665With loss 0.1267430099331721 epoch: 9666 Epoch 9666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9666With loss 0.1267430099331721 epoch: 9667 Epoch 9667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9667With loss 0.1267430099331721 epoch: 9668 Epoch 9668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9668With loss 0.1267430099331721 epoch: 9669 Epoch 9669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9669With loss 0.1267430099331721 epoch: 9670 Epoch 9670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9670With loss 0.1267430099331721 epoch: 9671 Epoch 9671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9671With loss 0.1267430099331721 epoch: 9672 Epoch 9672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9672With loss 0.1267430099331721 epoch: 9673 Epoch 9673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9673With loss 0.1267430099331721 epoch: 9674 Epoch 9674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9674With loss 0.1267430099331721 epoch: 9675 Epoch 9675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9675With loss 0.1267430099331721 epoch: 9676 Epoch 9676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9676With loss 0.1267430099331721 epoch: 9677 Epoch 9677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9677With loss 0.1267430099331721 epoch: 9678 Epoch 9678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9678With loss 0.1267430099331721 epoch: 9679 Epoch 9679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9679With loss 0.1267430099331721 epoch: 9680 Epoch 9680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9680With loss 0.1267430099331721 epoch: 9681 Epoch 9681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9681With loss 0.1267430099331721 epoch: 9682 Epoch 9682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9682With loss 0.1267430099331721 epoch: 9683 Epoch 9683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9683With loss 0.1267430099331721 epoch: 9684 Epoch 9684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9684With loss 0.1267430099331721 epoch: 9685 Epoch 9685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9685With loss 0.1267430099331721 epoch: 9686 Epoch 9686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9686With loss 0.1267430099331721 epoch: 9687 Epoch 9687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9687With loss 0.1267430099331721 epoch: 9688 Epoch 9688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9688With loss 0.1267430099331721 epoch: 9689 Epoch 9689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9689With loss 0.1267430099331721 epoch: 9690 Epoch 9690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9690With loss 0.1267430099331721 epoch: 9691 Epoch 9691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9691With loss 0.1267430099331721 epoch: 9692 Epoch 9692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9692With loss 0.1267430099331721 epoch: 9693 Epoch 9693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9693With loss 0.1267430099331721 epoch: 9694 Epoch 9694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9694With loss 0.1267430099331721 epoch: 9695 Epoch 9695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9695With loss 0.1267430099331721 epoch: 9696 Epoch 9696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9696With loss 0.1267430099331721 epoch: 9697 Epoch 9697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9697With loss 0.1267430099331721 epoch: 9698 Epoch 9698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9698With loss 0.1267430099331721 epoch: 9699 Epoch 9699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9699With loss 0.1267430099331721 epoch: 9700 Epoch 9700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9700With loss 0.1267430099331721 epoch: 9701 Epoch 9701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9701With loss 0.1267430099331721 epoch: 9702 Epoch 9702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9702With loss 0.1267430099331721 epoch: 9703 Epoch 9703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9703With loss 0.1267430099331721 epoch: 9704 Epoch 9704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9704With loss 0.1267430099331721 epoch: 9705 Epoch 9705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9705With loss 0.1267430099331721 epoch: 9706 Epoch 9706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9706With loss 0.1267430099331721 epoch: 9707 Epoch 9707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9707With loss 0.1267430099331721 epoch: 9708 Epoch 9708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9708With loss 0.1267430099331721 epoch: 9709 Epoch 9709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9709With loss 0.1267430099331721 epoch: 9710 Epoch 9710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9710With loss 0.1267430099331721 epoch: 9711 Epoch 9711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9711With loss 0.1267430099331721 epoch: 9712 Epoch 9712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9712With loss 0.1267430099331721 epoch: 9713 Epoch 9713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9713With loss 0.1267430099331721 epoch: 9714 Epoch 9714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9714With loss 0.1267430099331721 epoch: 9715 Epoch 9715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9715With loss 0.1267430099331721 epoch: 9716 Epoch 9716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9716With loss 0.1267430099331721 epoch: 9717 Epoch 9717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9717With loss 0.1267430099331721 epoch: 9718 Epoch 9718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9718With loss 0.1267430099331721 epoch: 9719 Epoch 9719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9719With loss 0.1267430099331721 epoch: 9720 Epoch 9720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9720With loss 0.1267430099331721 epoch: 9721 Epoch 9721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9721With loss 0.1267430099331721 epoch: 9722 Epoch 9722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9722With loss 0.1267430099331721 epoch: 9723 Epoch 9723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9723With loss 0.1267430099331721 epoch: 9724 Epoch 9724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9724With loss 0.1267430099331721 epoch: 9725 Epoch 9725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9725With loss 0.1267430099331721 epoch: 9726 Epoch 9726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9726With loss 0.1267430099331721 epoch: 9727 Epoch 9727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9727With loss 0.1267430099331721 epoch: 9728 Epoch 9728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9728With loss 0.1267430099331721 epoch: 9729 Epoch 9729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9729With loss 0.1267430099331721 epoch: 9730 Epoch 9730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9730With loss 0.1267430099331721 epoch: 9731 Epoch 9731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9731With loss 0.1267430099331721 epoch: 9732 Epoch 9732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9732With loss 0.1267430099331721 epoch: 9733 Epoch 9733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9733With loss 0.1267430099331721 epoch: 9734 Epoch 9734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9734With loss 0.1267430099331721 epoch: 9735 Epoch 9735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9735With loss 0.1267430099331721 epoch: 9736 Epoch 9736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9736With loss 0.1267430099331721 epoch: 9737 Epoch 9737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9737With loss 0.1267430099331721 epoch: 9738 Epoch 9738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9738With loss 0.1267430099331721 epoch: 9739 Epoch 9739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9739With loss 0.1267430099331721 epoch: 9740 Epoch 9740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9740With loss 0.1267430099331721 epoch: 9741 Epoch 9741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9741With loss 0.1267430099331721 epoch: 9742 Epoch 9742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9742With loss 0.1267430099331721 epoch: 9743 Epoch 9743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9743With loss 0.1267430099331721 epoch: 9744 Epoch 9744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9744With loss 0.1267430099331721 epoch: 9745 Epoch 9745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9745With loss 0.1267430099331721 epoch: 9746 Epoch 9746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9746With loss 0.1267430099331721 epoch: 9747 Epoch 9747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9747With loss 0.1267430099331721 epoch: 9748 Epoch 9748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9748With loss 0.1267430099331721 epoch: 9749 Epoch 9749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9749With loss 0.1267430099331721 epoch: 9750 Epoch 9750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9750With loss 0.1267430099331721 epoch: 9751 Epoch 9751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9751With loss 0.1267430099331721 epoch: 9752 Epoch 9752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9752With loss 0.1267430099331721 epoch: 9753 Epoch 9753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9753With loss 0.1267430099331721 epoch: 9754 Epoch 9754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9754With loss 0.1267430099331721 epoch: 9755 Epoch 9755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9755With loss 0.1267430099331721 epoch: 9756 Epoch 9756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9756With loss 0.1267430099331721 epoch: 9757 Epoch 9757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9757With loss 0.1267430099331721 epoch: 9758 Epoch 9758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9758With loss 0.1267430099331721 epoch: 9759 Epoch 9759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9759With loss 0.1267430099331721 epoch: 9760 Epoch 9760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9760With loss 0.1267430099331721 epoch: 9761 Epoch 9761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9761With loss 0.1267430099331721 epoch: 9762 Epoch 9762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9762With loss 0.1267430099331721 epoch: 9763 Epoch 9763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9763With loss 0.1267430099331721 epoch: 9764 Epoch 9764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9764With loss 0.1267430099331721 epoch: 9765 Epoch 9765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9765With loss 0.1267430099331721 epoch: 9766 Epoch 9766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9766With loss 0.1267430099331721 epoch: 9767 Epoch 9767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9767With loss 0.1267430099331721 epoch: 9768 Epoch 9768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9768With loss 0.1267430099331721 epoch: 9769 Epoch 9769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9769With loss 0.1267430099331721 epoch: 9770 Epoch 9770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9770With loss 0.1267430099331721 epoch: 9771 Epoch 9771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9771With loss 0.1267430099331721 epoch: 9772 Epoch 9772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9772With loss 0.1267430099331721 epoch: 9773 Epoch 9773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9773With loss 0.1267430099331721 epoch: 9774 Epoch 9774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9774With loss 0.1267430099331721 epoch: 9775 Epoch 9775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9775With loss 0.1267430099331721 epoch: 9776 Epoch 9776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9776With loss 0.1267430099331721 epoch: 9777 Epoch 9777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9777With loss 0.1267430099331721 epoch: 9778 Epoch 9778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9778With loss 0.1267430099331721 epoch: 9779 Epoch 9779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9779With loss 0.1267430099331721 epoch: 9780 Epoch 9780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9780With loss 0.1267430099331721 epoch: 9781 Epoch 9781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9781With loss 0.1267430099331721 epoch: 9782 Epoch 9782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9782With loss 0.1267430099331721 epoch: 9783 Epoch 9783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9783With loss 0.1267430099331721 epoch: 9784 Epoch 9784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9784With loss 0.1267430099331721 epoch: 9785 Epoch 9785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9785With loss 0.1267430099331721 epoch: 9786 Epoch 9786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9786With loss 0.1267430099331721 epoch: 9787 Epoch 9787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9787With loss 0.1267430099331721 epoch: 9788 Epoch 9788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9788With loss 0.1267430099331721 epoch: 9789 Epoch 9789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9789With loss 0.1267430099331721 epoch: 9790 Epoch 9790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9790With loss 0.1267430099331721 epoch: 9791 Epoch 9791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9791With loss 0.1267430099331721 epoch: 9792 Epoch 9792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9792With loss 0.1267430099331721 epoch: 9793 Epoch 9793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9793With loss 0.1267430099331721 epoch: 9794 Epoch 9794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9794With loss 0.1267430099331721 epoch: 9795 Epoch 9795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9795With loss 0.1267430099331721 epoch: 9796 Epoch 9796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9796With loss 0.1267430099331721 epoch: 9797 Epoch 9797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9797With loss 0.1267430099331721 epoch: 9798 Epoch 9798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9798With loss 0.1267430099331721 epoch: 9799 Epoch 9799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9799With loss 0.1267430099331721 epoch: 9800 Epoch 9800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9800With loss 0.1267430099331721 epoch: 9801 Epoch 9801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9801With loss 0.1267430099331721 epoch: 9802 Epoch 9802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9802With loss 0.1267430099331721 epoch: 9803 Epoch 9803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9803With loss 0.1267430099331721 epoch: 9804 Epoch 9804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9804With loss 0.1267430099331721 epoch: 9805 Epoch 9805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9805With loss 0.1267430099331721 epoch: 9806 Epoch 9806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9806With loss 0.1267430099331721 epoch: 9807 Epoch 9807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9807With loss 0.1267430099331721 epoch: 9808 Epoch 9808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9808With loss 0.1267430099331721 epoch: 9809 Epoch 9809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9809With loss 0.1267430099331721 epoch: 9810 Epoch 9810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9810With loss 0.1267430099331721 epoch: 9811 Epoch 9811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9811With loss 0.1267430099331721 epoch: 9812 Epoch 9812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9812With loss 0.1267430099331721 epoch: 9813 Epoch 9813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9813With loss 0.1267430099331721 epoch: 9814 Epoch 9814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9814With loss 0.1267430099331721 epoch: 9815 Epoch 9815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9815With loss 0.1267430099331721 epoch: 9816 Epoch 9816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9816With loss 0.1267430099331721 epoch: 9817 Epoch 9817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9817With loss 0.1267430099331721 epoch: 9818 Epoch 9818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9818With loss 0.1267430099331721 epoch: 9819 Epoch 9819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9819With loss 0.1267430099331721 epoch: 9820 Epoch 9820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9820With loss 0.1267430099331721 epoch: 9821 Epoch 9821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9821With loss 0.1267430099331721 epoch: 9822 Epoch 9822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9822With loss 0.1267430099331721 epoch: 9823 Epoch 9823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9823With loss 0.1267430099331721 epoch: 9824 Epoch 9824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9824With loss 0.1267430099331721 epoch: 9825 Epoch 9825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9825With loss 0.1267430099331721 epoch: 9826 Epoch 9826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9826With loss 0.1267430099331721 epoch: 9827 Epoch 9827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9827With loss 0.1267430099331721 epoch: 9828 Epoch 9828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9828With loss 0.1267430099331721 epoch: 9829 Epoch 9829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9829With loss 0.1267430099331721 epoch: 9830 Epoch 9830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9830With loss 0.1267430099331721 epoch: 9831 Epoch 9831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9831With loss 0.1267430099331721 epoch: 9832 Epoch 9832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9832With loss 0.1267430099331721 epoch: 9833 Epoch 9833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9833With loss 0.1267430099331721 epoch: 9834 Epoch 9834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9834With loss 0.1267430099331721 epoch: 9835 Epoch 9835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9835With loss 0.1267430099331721 epoch: 9836 Epoch 9836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9836With loss 0.1267430099331721 epoch: 9837 Epoch 9837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9837With loss 0.1267430099331721 epoch: 9838 Epoch 9838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9838With loss 0.1267430099331721 epoch: 9839 Epoch 9839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9839With loss 0.1267430099331721 epoch: 9840 Epoch 9840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9840With loss 0.1267430099331721 epoch: 9841 Epoch 9841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9841With loss 0.1267430099331721 epoch: 9842 Epoch 9842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9842With loss 0.1267430099331721 epoch: 9843 Epoch 9843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9843With loss 0.1267430099331721 epoch: 9844 Epoch 9844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9844With loss 0.1267430099331721 epoch: 9845 Epoch 9845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9845With loss 0.1267430099331721 epoch: 9846 Epoch 9846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9846With loss 0.1267430099331721 epoch: 9847 Epoch 9847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9847With loss 0.1267430099331721 epoch: 9848 Epoch 9848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9848With loss 0.1267430099331721 epoch: 9849 Epoch 9849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9849With loss 0.1267430099331721 epoch: 9850 Epoch 9850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9850With loss 0.1267430099331721 epoch: 9851 Epoch 9851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9851With loss 0.1267430099331721 epoch: 9852 Epoch 9852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9852With loss 0.1267430099331721 epoch: 9853 Epoch 9853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9853With loss 0.1267430099331721 epoch: 9854 Epoch 9854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9854With loss 0.1267430099331721 epoch: 9855 Epoch 9855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9855With loss 0.1267430099331721 epoch: 9856 Epoch 9856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9856With loss 0.1267430099331721 epoch: 9857 Epoch 9857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9857With loss 0.1267430099331721 epoch: 9858 Epoch 9858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9858With loss 0.1267430099331721 epoch: 9859 Epoch 9859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9859With loss 0.1267430099331721 epoch: 9860 Epoch 9860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9860With loss 0.1267430099331721 epoch: 9861 Epoch 9861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9861With loss 0.1267430099331721 epoch: 9862 Epoch 9862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9862With loss 0.1267430099331721 epoch: 9863 Epoch 9863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9863With loss 0.1267430099331721 epoch: 9864 Epoch 9864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9864With loss 0.1267430099331721 epoch: 9865 Epoch 9865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9865With loss 0.1267430099331721 epoch: 9866 Epoch 9866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9866With loss 0.1267430099331721 epoch: 9867 Epoch 9867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9867With loss 0.1267430099331721 epoch: 9868 Epoch 9868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9868With loss 0.1267430099331721 epoch: 9869 Epoch 9869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9869With loss 0.1267430099331721 epoch: 9870 Epoch 9870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9870With loss 0.1267430099331721 epoch: 9871 Epoch 9871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9871With loss 0.1267430099331721 epoch: 9872 Epoch 9872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9872With loss 0.1267430099331721 epoch: 9873 Epoch 9873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9873With loss 0.1267430099331721 epoch: 9874 Epoch 9874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9874With loss 0.1267430099331721 epoch: 9875 Epoch 9875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9875With loss 0.1267430099331721 epoch: 9876 Epoch 9876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9876With loss 0.1267430099331721 epoch: 9877 Epoch 9877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9877With loss 0.1267430099331721 epoch: 9878 Epoch 9878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9878With loss 0.1267430099331721 epoch: 9879 Epoch 9879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9879With loss 0.1267430099331721 epoch: 9880 Epoch 9880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9880With loss 0.1267430099331721 epoch: 9881 Epoch 9881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9881With loss 0.1267430099331721 epoch: 9882 Epoch 9882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9882With loss 0.1267430099331721 epoch: 9883 Epoch 9883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9883With loss 0.1267430099331721 epoch: 9884 Epoch 9884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9884With loss 0.1267430099331721 epoch: 9885 Epoch 9885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9885With loss 0.1267430099331721 epoch: 9886 Epoch 9886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9886With loss 0.1267430099331721 epoch: 9887 Epoch 9887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9887With loss 0.1267430099331721 epoch: 9888 Epoch 9888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9888With loss 0.1267430099331721 epoch: 9889 Epoch 9889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9889With loss 0.1267430099331721 epoch: 9890 Epoch 9890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9890With loss 0.1267430099331721 epoch: 9891 Epoch 9891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9891With loss 0.1267430099331721 epoch: 9892 Epoch 9892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9892With loss 0.1267430099331721 epoch: 9893 Epoch 9893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9893With loss 0.1267430099331721 epoch: 9894 Epoch 9894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9894With loss 0.1267430099331721 epoch: 9895 Epoch 9895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9895With loss 0.1267430099331721 epoch: 9896 Epoch 9896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9896With loss 0.1267430099331721 epoch: 9897 Epoch 9897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9897With loss 0.1267430099331721 epoch: 9898 Epoch 9898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9898With loss 0.1267430099331721 epoch: 9899 Epoch 9899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9899With loss 0.1267430099331721 epoch: 9900 Epoch 9900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9900With loss 0.1267430099331721 epoch: 9901 Epoch 9901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9901With loss 0.1267430099331721 epoch: 9902 Epoch 9902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9902With loss 0.1267430099331721 epoch: 9903 Epoch 9903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9903With loss 0.1267430099331721 epoch: 9904 Epoch 9904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9904With loss 0.1267430099331721 epoch: 9905 Epoch 9905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9905With loss 0.1267430099331721 epoch: 9906 Epoch 9906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9906With loss 0.1267430099331721 epoch: 9907 Epoch 9907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9907With loss 0.1267430099331721 epoch: 9908 Epoch 9908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9908With loss 0.1267430099331721 epoch: 9909 Epoch 9909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9909With loss 0.1267430099331721 epoch: 9910 Epoch 9910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9910With loss 0.1267430099331721 epoch: 9911 Epoch 9911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9911With loss 0.1267430099331721 epoch: 9912 Epoch 9912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9912With loss 0.1267430099331721 epoch: 9913 Epoch 9913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9913With loss 0.1267430099331721 epoch: 9914 Epoch 9914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9914With loss 0.1267430099331721 epoch: 9915 Epoch 9915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9915With loss 0.1267430099331721 epoch: 9916 Epoch 9916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9916With loss 0.1267430099331721 epoch: 9917 Epoch 9917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9917With loss 0.1267430099331721 epoch: 9918 Epoch 9918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9918With loss 0.1267430099331721 epoch: 9919 Epoch 9919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9919With loss 0.1267430099331721 epoch: 9920 Epoch 9920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9920With loss 0.1267430099331721 epoch: 9921 Epoch 9921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9921With loss 0.1267430099331721 epoch: 9922 Epoch 9922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9922With loss 0.1267430099331721 epoch: 9923 Epoch 9923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9923With loss 0.1267430099331721 epoch: 9924 Epoch 9924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9924With loss 0.1267430099331721 epoch: 9925 Epoch 9925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9925With loss 0.1267430099331721 epoch: 9926 Epoch 9926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9926With loss 0.1267430099331721 epoch: 9927 Epoch 9927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9927With loss 0.1267430099331721 epoch: 9928 Epoch 9928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9928With loss 0.1267430099331721 epoch: 9929 Epoch 9929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9929With loss 0.1267430099331721 epoch: 9930 Epoch 9930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9930With loss 0.1267430099331721 epoch: 9931 Epoch 9931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9931With loss 0.1267430099331721 epoch: 9932 Epoch 9932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9932With loss 0.1267430099331721 epoch: 9933 Epoch 9933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9933With loss 0.1267430099331721 epoch: 9934 Epoch 9934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9934With loss 0.1267430099331721 epoch: 9935 Epoch 9935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9935With loss 0.1267430099331721 epoch: 9936 Epoch 9936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9936With loss 0.1267430099331721 epoch: 9937 Epoch 9937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9937With loss 0.1267430099331721 epoch: 9938 Epoch 9938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9938With loss 0.1267430099331721 epoch: 9939 Epoch 9939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9939With loss 0.1267430099331721 epoch: 9940 Epoch 9940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9940With loss 0.1267430099331721 epoch: 9941 Epoch 9941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9941With loss 0.1267430099331721 epoch: 9942 Epoch 9942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9942With loss 0.1267430099331721 epoch: 9943 Epoch 9943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9943With loss 0.1267430099331721 epoch: 9944 Epoch 9944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9944With loss 0.1267430099331721 epoch: 9945 Epoch 9945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9945With loss 0.1267430099331721 epoch: 9946 Epoch 9946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9946With loss 0.1267430099331721 epoch: 9947 Epoch 9947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9947With loss 0.1267430099331721 epoch: 9948 Epoch 9948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9948With loss 0.1267430099331721 epoch: 9949 Epoch 9949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9949With loss 0.1267430099331721 epoch: 9950 Epoch 9950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9950With loss 0.1267430099331721 epoch: 9951 Epoch 9951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9951With loss 0.1267430099331721 epoch: 9952 Epoch 9952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9952With loss 0.1267430099331721 epoch: 9953 Epoch 9953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9953With loss 0.1267430099331721 epoch: 9954 Epoch 9954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9954With loss 0.1267430099331721 epoch: 9955 Epoch 9955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9955With loss 0.1267430099331721 epoch: 9956 Epoch 9956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9956With loss 0.1267430099331721 epoch: 9957 Epoch 9957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9957With loss 0.1267430099331721 epoch: 9958 Epoch 9958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9958With loss 0.1267430099331721 epoch: 9959 Epoch 9959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9959With loss 0.1267430099331721 epoch: 9960 Epoch 9960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9960With loss 0.1267430099331721 epoch: 9961 Epoch 9961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9961With loss 0.1267430099331721 epoch: 9962 Epoch 9962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9962With loss 0.1267430099331721 epoch: 9963 Epoch 9963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9963With loss 0.1267430099331721 epoch: 9964 Epoch 9964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9964With loss 0.1267430099331721 epoch: 9965 Epoch 9965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9965With loss 0.1267430099331721 epoch: 9966 Epoch 9966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9966With loss 0.1267430099331721 epoch: 9967 Epoch 9967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9967With loss 0.1267430099331721 epoch: 9968 Epoch 9968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9968With loss 0.1267430099331721 epoch: 9969 Epoch 9969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9969With loss 0.1267430099331721 epoch: 9970 Epoch 9970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9970With loss 0.1267430099331721 epoch: 9971 Epoch 9971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9971With loss 0.1267430099331721 epoch: 9972 Epoch 9972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9972With loss 0.1267430099331721 epoch: 9973 Epoch 9973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9973With loss 0.1267430099331721 epoch: 9974 Epoch 9974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9974With loss 0.1267430099331721 epoch: 9975 Epoch 9975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9975With loss 0.1267430099331721 epoch: 9976 Epoch 9976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9976With loss 0.1267430099331721 epoch: 9977 Epoch 9977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9977With loss 0.1267430099331721 epoch: 9978 Epoch 9978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9978With loss 0.1267430099331721 epoch: 9979 Epoch 9979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9979With loss 0.1267430099331721 epoch: 9980 Epoch 9980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9980With loss 0.1267430099331721 epoch: 9981 Epoch 9981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9981With loss 0.1267430099331721 epoch: 9982 Epoch 9982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9982With loss 0.1267430099331721 epoch: 9983 Epoch 9983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9983With loss 0.1267430099331721 epoch: 9984 Epoch 9984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9984With loss 0.1267430099331721 epoch: 9985 Epoch 9985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9985With loss 0.1267430099331721 epoch: 9986 Epoch 9986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9986With loss 0.1267430099331721 epoch: 9987 Epoch 9987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9987With loss 0.1267430099331721 epoch: 9988 Epoch 9988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9988With loss 0.1267430099331721 epoch: 9989 Epoch 9989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9989With loss 0.1267430099331721 epoch: 9990 Epoch 9990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9990With loss 0.1267430099331721 epoch: 9991 Epoch 9991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9991With loss 0.1267430099331721 epoch: 9992 Epoch 9992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9992With loss 0.1267430099331721 epoch: 9993 Epoch 9993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9993With loss 0.1267430099331721 epoch: 9994 Epoch 9994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9994With loss 0.1267430099331721 epoch: 9995 Epoch 9995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9995With loss 0.1267430099331721 epoch: 9996 Epoch 9996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9996With loss 0.1267430099331721 epoch: 9997 Epoch 9997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9997With loss 0.1267430099331721 epoch: 9998 Epoch 9998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9998With loss 0.1267430099331721 epoch: 9999 Epoch 9999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 9999With loss 0.1267430099331721 epoch: 10000 Epoch 10000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10000With loss 0.1267430099331721 epoch: 10001 Epoch 10001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10001With loss 0.1267430099331721 epoch: 10002 Epoch 10002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10002With loss 0.1267430099331721 epoch: 10003 Epoch 10003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10003With loss 0.1267430099331721 epoch: 10004 Epoch 10004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10004With loss 0.1267430099331721 epoch: 10005 Epoch 10005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10005With loss 0.1267430099331721 epoch: 10006 Epoch 10006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10006With loss 0.1267430099331721 epoch: 10007 Epoch 10007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10007With loss 0.1267430099331721 epoch: 10008 Epoch 10008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10008With loss 0.1267430099331721 epoch: 10009 Epoch 10009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10009With loss 0.1267430099331721 epoch: 10010 Epoch 10010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10010With loss 0.1267430099331721 epoch: 10011 Epoch 10011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10011With loss 0.1267430099331721 epoch: 10012 Epoch 10012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10012With loss 0.1267430099331721 epoch: 10013 Epoch 10013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10013With loss 0.1267430099331721 epoch: 10014 Epoch 10014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10014With loss 0.1267430099331721 epoch: 10015 Epoch 10015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10015With loss 0.1267430099331721 epoch: 10016 Epoch 10016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10016With loss 0.1267430099331721 epoch: 10017 Epoch 10017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10017With loss 0.1267430099331721 epoch: 10018 Epoch 10018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10018With loss 0.1267430099331721 epoch: 10019 Epoch 10019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10019With loss 0.1267430099331721 epoch: 10020 Epoch 10020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10020With loss 0.1267430099331721 epoch: 10021 Epoch 10021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10021With loss 0.1267430099331721 epoch: 10022 Epoch 10022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10022With loss 0.1267430099331721 epoch: 10023 Epoch 10023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10023With loss 0.1267430099331721 epoch: 10024 Epoch 10024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10024With loss 0.1267430099331721 epoch: 10025 Epoch 10025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10025With loss 0.1267430099331721 epoch: 10026 Epoch 10026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10026With loss 0.1267430099331721 epoch: 10027 Epoch 10027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10027With loss 0.1267430099331721 epoch: 10028 Epoch 10028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10028With loss 0.1267430099331721 epoch: 10029 Epoch 10029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10029With loss 0.1267430099331721 epoch: 10030 Epoch 10030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10030With loss 0.1267430099331721 epoch: 10031 Epoch 10031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10031With loss 0.1267430099331721 epoch: 10032 Epoch 10032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10032With loss 0.1267430099331721 epoch: 10033 Epoch 10033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10033With loss 0.1267430099331721 epoch: 10034 Epoch 10034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10034With loss 0.1267430099331721 epoch: 10035 Epoch 10035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10035With loss 0.1267430099331721 epoch: 10036 Epoch 10036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10036With loss 0.1267430099331721 epoch: 10037 Epoch 10037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10037With loss 0.1267430099331721 epoch: 10038 Epoch 10038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10038With loss 0.1267430099331721 epoch: 10039 Epoch 10039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10039With loss 0.1267430099331721 epoch: 10040 Epoch 10040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10040With loss 0.1267430099331721 epoch: 10041 Epoch 10041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10041With loss 0.1267430099331721 epoch: 10042 Epoch 10042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10042With loss 0.1267430099331721 epoch: 10043 Epoch 10043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10043With loss 0.1267430099331721 epoch: 10044 Epoch 10044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10044With loss 0.1267430099331721 epoch: 10045 Epoch 10045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10045With loss 0.1267430099331721 epoch: 10046 Epoch 10046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10046With loss 0.1267430099331721 epoch: 10047 Epoch 10047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10047With loss 0.1267430099331721 epoch: 10048 Epoch 10048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10048With loss 0.1267430099331721 epoch: 10049 Epoch 10049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10049With loss 0.1267430099331721 epoch: 10050 Epoch 10050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10050With loss 0.1267430099331721 epoch: 10051 Epoch 10051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10051With loss 0.1267430099331721 epoch: 10052 Epoch 10052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10052With loss 0.1267430099331721 epoch: 10053 Epoch 10053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10053With loss 0.1267430099331721 epoch: 10054 Epoch 10054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10054With loss 0.1267430099331721 epoch: 10055 Epoch 10055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10055With loss 0.1267430099331721 epoch: 10056 Epoch 10056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10056With loss 0.1267430099331721 epoch: 10057 Epoch 10057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10057With loss 0.1267430099331721 epoch: 10058 Epoch 10058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10058With loss 0.1267430099331721 epoch: 10059 Epoch 10059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10059With loss 0.1267430099331721 epoch: 10060 Epoch 10060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10060With loss 0.1267430099331721 epoch: 10061 Epoch 10061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10061With loss 0.1267430099331721 epoch: 10062 Epoch 10062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10062With loss 0.1267430099331721 epoch: 10063 Epoch 10063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10063With loss 0.1267430099331721 epoch: 10064 Epoch 10064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10064With loss 0.1267430099331721 epoch: 10065 Epoch 10065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10065With loss 0.1267430099331721 epoch: 10066 Epoch 10066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10066With loss 0.1267430099331721 epoch: 10067 Epoch 10067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10067With loss 0.1267430099331721 epoch: 10068 Epoch 10068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10068With loss 0.1267430099331721 epoch: 10069 Epoch 10069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10069With loss 0.1267430099331721 epoch: 10070 Epoch 10070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10070With loss 0.1267430099331721 epoch: 10071 Epoch 10071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10071With loss 0.1267430099331721 epoch: 10072 Epoch 10072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10072With loss 0.1267430099331721 epoch: 10073 Epoch 10073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10073With loss 0.1267430099331721 epoch: 10074 Epoch 10074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10074With loss 0.1267430099331721 epoch: 10075 Epoch 10075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10075With loss 0.1267430099331721 epoch: 10076 Epoch 10076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10076With loss 0.1267430099331721 epoch: 10077 Epoch 10077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10077With loss 0.1267430099331721 epoch: 10078 Epoch 10078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10078With loss 0.1267430099331721 epoch: 10079 Epoch 10079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10079With loss 0.1267430099331721 epoch: 10080 Epoch 10080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10080With loss 0.1267430099331721 epoch: 10081 Epoch 10081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10081With loss 0.1267430099331721 epoch: 10082 Epoch 10082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10082With loss 0.1267430099331721 epoch: 10083 Epoch 10083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10083With loss 0.1267430099331721 epoch: 10084 Epoch 10084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10084With loss 0.1267430099331721 epoch: 10085 Epoch 10085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10085With loss 0.1267430099331721 epoch: 10086 Epoch 10086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10086With loss 0.1267430099331721 epoch: 10087 Epoch 10087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10087With loss 0.1267430099331721 epoch: 10088 Epoch 10088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10088With loss 0.1267430099331721 epoch: 10089 Epoch 10089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10089With loss 0.1267430099331721 epoch: 10090 Epoch 10090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10090With loss 0.1267430099331721 epoch: 10091 Epoch 10091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10091With loss 0.1267430099331721 epoch: 10092 Epoch 10092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10092With loss 0.1267430099331721 epoch: 10093 Epoch 10093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10093With loss 0.1267430099331721 epoch: 10094 Epoch 10094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10094With loss 0.1267430099331721 epoch: 10095 Epoch 10095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10095With loss 0.1267430099331721 epoch: 10096 Epoch 10096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10096With loss 0.1267430099331721 epoch: 10097 Epoch 10097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10097With loss 0.1267430099331721 epoch: 10098 Epoch 10098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10098With loss 0.1267430099331721 epoch: 10099 Epoch 10099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10099With loss 0.1267430099331721 epoch: 10100 Epoch 10100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10100With loss 0.1267430099331721 epoch: 10101 Epoch 10101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10101With loss 0.1267430099331721 epoch: 10102 Epoch 10102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10102With loss 0.1267430099331721 epoch: 10103 Epoch 10103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10103With loss 0.1267430099331721 epoch: 10104 Epoch 10104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10104With loss 0.1267430099331721 epoch: 10105 Epoch 10105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10105With loss 0.1267430099331721 epoch: 10106 Epoch 10106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10106With loss 0.1267430099331721 epoch: 10107 Epoch 10107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10107With loss 0.1267430099331721 epoch: 10108 Epoch 10108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10108With loss 0.1267430099331721 epoch: 10109 Epoch 10109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10109With loss 0.1267430099331721 epoch: 10110 Epoch 10110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10110With loss 0.1267430099331721 epoch: 10111 Epoch 10111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10111With loss 0.1267430099331721 epoch: 10112 Epoch 10112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10112With loss 0.1267430099331721 epoch: 10113 Epoch 10113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10113With loss 0.1267430099331721 epoch: 10114 Epoch 10114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10114With loss 0.1267430099331721 epoch: 10115 Epoch 10115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10115With loss 0.1267430099331721 epoch: 10116 Epoch 10116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10116With loss 0.1267430099331721 epoch: 10117 Epoch 10117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10117With loss 0.1267430099331721 epoch: 10118 Epoch 10118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10118With loss 0.1267430099331721 epoch: 10119 Epoch 10119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10119With loss 0.1267430099331721 epoch: 10120 Epoch 10120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10120With loss 0.1267430099331721 epoch: 10121 Epoch 10121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10121With loss 0.1267430099331721 epoch: 10122 Epoch 10122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10122With loss 0.1267430099331721 epoch: 10123 Epoch 10123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10123With loss 0.1267430099331721 epoch: 10124 Epoch 10124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10124With loss 0.1267430099331721 epoch: 10125 Epoch 10125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10125With loss 0.1267430099331721 epoch: 10126 Epoch 10126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10126With loss 0.1267430099331721 epoch: 10127 Epoch 10127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10127With loss 0.1267430099331721 epoch: 10128 Epoch 10128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10128With loss 0.1267430099331721 epoch: 10129 Epoch 10129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10129With loss 0.1267430099331721 epoch: 10130 Epoch 10130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10130With loss 0.1267430099331721 epoch: 10131 Epoch 10131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10131With loss 0.1267430099331721 epoch: 10132 Epoch 10132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10132With loss 0.1267430099331721 epoch: 10133 Epoch 10133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10133With loss 0.1267430099331721 epoch: 10134 Epoch 10134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10134With loss 0.1267430099331721 epoch: 10135 Epoch 10135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10135With loss 0.1267430099331721 epoch: 10136 Epoch 10136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10136With loss 0.1267430099331721 epoch: 10137 Epoch 10137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10137With loss 0.1267430099331721 epoch: 10138 Epoch 10138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10138With loss 0.1267430099331721 epoch: 10139 Epoch 10139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10139With loss 0.1267430099331721 epoch: 10140 Epoch 10140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10140With loss 0.1267430099331721 epoch: 10141 Epoch 10141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10141With loss 0.1267430099331721 epoch: 10142 Epoch 10142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10142With loss 0.1267430099331721 epoch: 10143 Epoch 10143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10143With loss 0.1267430099331721 epoch: 10144 Epoch 10144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10144With loss 0.1267430099331721 epoch: 10145 Epoch 10145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10145With loss 0.1267430099331721 epoch: 10146 Epoch 10146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10146With loss 0.1267430099331721 epoch: 10147 Epoch 10147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10147With loss 0.1267430099331721 epoch: 10148 Epoch 10148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10148With loss 0.1267430099331721 epoch: 10149 Epoch 10149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10149With loss 0.1267430099331721 epoch: 10150 Epoch 10150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10150With loss 0.1267430099331721 epoch: 10151 Epoch 10151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10151With loss 0.1267430099331721 epoch: 10152 Epoch 10152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10152With loss 0.1267430099331721 epoch: 10153 Epoch 10153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10153With loss 0.1267430099331721 epoch: 10154 Epoch 10154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10154With loss 0.1267430099331721 epoch: 10155 Epoch 10155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10155With loss 0.1267430099331721 epoch: 10156 Epoch 10156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10156With loss 0.1267430099331721 epoch: 10157 Epoch 10157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10157With loss 0.1267430099331721 epoch: 10158 Epoch 10158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10158With loss 0.1267430099331721 epoch: 10159 Epoch 10159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10159With loss 0.1267430099331721 epoch: 10160 Epoch 10160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10160With loss 0.1267430099331721 epoch: 10161 Epoch 10161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10161With loss 0.1267430099331721 epoch: 10162 Epoch 10162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10162With loss 0.1267430099331721 epoch: 10163 Epoch 10163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10163With loss 0.1267430099331721 epoch: 10164 Epoch 10164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10164With loss 0.1267430099331721 epoch: 10165 Epoch 10165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10165With loss 0.1267430099331721 epoch: 10166 Epoch 10166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10166With loss 0.1267430099331721 epoch: 10167 Epoch 10167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10167With loss 0.1267430099331721 epoch: 10168 Epoch 10168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10168With loss 0.1267430099331721 epoch: 10169 Epoch 10169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10169With loss 0.1267430099331721 epoch: 10170 Epoch 10170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10170With loss 0.1267430099331721 epoch: 10171 Epoch 10171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10171With loss 0.1267430099331721 epoch: 10172 Epoch 10172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10172With loss 0.1267430099331721 epoch: 10173 Epoch 10173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10173With loss 0.1267430099331721 epoch: 10174 Epoch 10174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10174With loss 0.1267430099331721 epoch: 10175 Epoch 10175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10175With loss 0.1267430099331721 epoch: 10176 Epoch 10176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10176With loss 0.1267430099331721 epoch: 10177 Epoch 10177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10177With loss 0.1267430099331721 epoch: 10178 Epoch 10178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10178With loss 0.1267430099331721 epoch: 10179 Epoch 10179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10179With loss 0.1267430099331721 epoch: 10180 Epoch 10180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10180With loss 0.1267430099331721 epoch: 10181 Epoch 10181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10181With loss 0.1267430099331721 epoch: 10182 Epoch 10182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10182With loss 0.1267430099331721 epoch: 10183 Epoch 10183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10183With loss 0.1267430099331721 epoch: 10184 Epoch 10184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10184With loss 0.1267430099331721 epoch: 10185 Epoch 10185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10185With loss 0.1267430099331721 epoch: 10186 Epoch 10186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10186With loss 0.1267430099331721 epoch: 10187 Epoch 10187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10187With loss 0.1267430099331721 epoch: 10188 Epoch 10188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10188With loss 0.1267430099331721 epoch: 10189 Epoch 10189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10189With loss 0.1267430099331721 epoch: 10190 Epoch 10190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10190With loss 0.1267430099331721 epoch: 10191 Epoch 10191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10191With loss 0.1267430099331721 epoch: 10192 Epoch 10192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10192With loss 0.1267430099331721 epoch: 10193 Epoch 10193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10193With loss 0.1267430099331721 epoch: 10194 Epoch 10194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10194With loss 0.1267430099331721 epoch: 10195 Epoch 10195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10195With loss 0.1267430099331721 epoch: 10196 Epoch 10196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10196With loss 0.1267430099331721 epoch: 10197 Epoch 10197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10197With loss 0.1267430099331721 epoch: 10198 Epoch 10198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10198With loss 0.1267430099331721 epoch: 10199 Epoch 10199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10199With loss 0.1267430099331721 epoch: 10200 Epoch 10200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10200With loss 0.1267430099331721 epoch: 10201 Epoch 10201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10201With loss 0.1267430099331721 epoch: 10202 Epoch 10202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10202With loss 0.1267430099331721 epoch: 10203 Epoch 10203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10203With loss 0.1267430099331721 epoch: 10204 Epoch 10204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10204With loss 0.1267430099331721 epoch: 10205 Epoch 10205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10205With loss 0.1267430099331721 epoch: 10206 Epoch 10206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10206With loss 0.1267430099331721 epoch: 10207 Epoch 10207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10207With loss 0.1267430099331721 epoch: 10208 Epoch 10208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10208With loss 0.1267430099331721 epoch: 10209 Epoch 10209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10209With loss 0.1267430099331721 epoch: 10210 Epoch 10210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10210With loss 0.1267430099331721 epoch: 10211 Epoch 10211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10211With loss 0.1267430099331721 epoch: 10212 Epoch 10212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10212With loss 0.1267430099331721 epoch: 10213 Epoch 10213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10213With loss 0.1267430099331721 epoch: 10214 Epoch 10214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10214With loss 0.1267430099331721 epoch: 10215 Epoch 10215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10215With loss 0.1267430099331721 epoch: 10216 Epoch 10216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10216With loss 0.1267430099331721 epoch: 10217 Epoch 10217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10217With loss 0.1267430099331721 epoch: 10218 Epoch 10218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10218With loss 0.1267430099331721 epoch: 10219 Epoch 10219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10219With loss 0.1267430099331721 epoch: 10220 Epoch 10220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10220With loss 0.1267430099331721 epoch: 10221 Epoch 10221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10221With loss 0.1267430099331721 epoch: 10222 Epoch 10222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10222With loss 0.1267430099331721 epoch: 10223 Epoch 10223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10223With loss 0.1267430099331721 epoch: 10224 Epoch 10224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10224With loss 0.1267430099331721 epoch: 10225 Epoch 10225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10225With loss 0.1267430099331721 epoch: 10226 Epoch 10226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10226With loss 0.1267430099331721 epoch: 10227 Epoch 10227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10227With loss 0.1267430099331721 epoch: 10228 Epoch 10228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10228With loss 0.1267430099331721 epoch: 10229 Epoch 10229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10229With loss 0.1267430099331721 epoch: 10230 Epoch 10230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10230With loss 0.1267430099331721 epoch: 10231 Epoch 10231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10231With loss 0.1267430099331721 epoch: 10232 Epoch 10232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10232With loss 0.1267430099331721 epoch: 10233 Epoch 10233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10233With loss 0.1267430099331721 epoch: 10234 Epoch 10234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10234With loss 0.1267430099331721 epoch: 10235 Epoch 10235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10235With loss 0.1267430099331721 epoch: 10236 Epoch 10236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10236With loss 0.1267430099331721 epoch: 10237 Epoch 10237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10237With loss 0.1267430099331721 epoch: 10238 Epoch 10238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10238With loss 0.1267430099331721 epoch: 10239 Epoch 10239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10239With loss 0.1267430099331721 epoch: 10240 Epoch 10240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10240With loss 0.1267430099331721 epoch: 10241 Epoch 10241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10241With loss 0.1267430099331721 epoch: 10242 Epoch 10242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10242With loss 0.1267430099331721 epoch: 10243 Epoch 10243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10243With loss 0.1267430099331721 epoch: 10244 Epoch 10244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10244With loss 0.1267430099331721 epoch: 10245 Epoch 10245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10245With loss 0.1267430099331721 epoch: 10246 Epoch 10246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10246With loss 0.1267430099331721 epoch: 10247 Epoch 10247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10247With loss 0.1267430099331721 epoch: 10248 Epoch 10248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10248With loss 0.1267430099331721 epoch: 10249 Epoch 10249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10249With loss 0.1267430099331721 epoch: 10250 Epoch 10250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10250With loss 0.1267430099331721 epoch: 10251 Epoch 10251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10251With loss 0.1267430099331721 epoch: 10252 Epoch 10252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10252With loss 0.1267430099331721 epoch: 10253 Epoch 10253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10253With loss 0.1267430099331721 epoch: 10254 Epoch 10254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10254With loss 0.1267430099331721 epoch: 10255 Epoch 10255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10255With loss 0.1267430099331721 epoch: 10256 Epoch 10256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10256With loss 0.1267430099331721 epoch: 10257 Epoch 10257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10257With loss 0.1267430099331721 epoch: 10258 Epoch 10258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10258With loss 0.1267430099331721 epoch: 10259 Epoch 10259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10259With loss 0.1267430099331721 epoch: 10260 Epoch 10260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10260With loss 0.1267430099331721 epoch: 10261 Epoch 10261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10261With loss 0.1267430099331721 epoch: 10262 Epoch 10262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10262With loss 0.1267430099331721 epoch: 10263 Epoch 10263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10263With loss 0.1267430099331721 epoch: 10264 Epoch 10264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10264With loss 0.1267430099331721 epoch: 10265 Epoch 10265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10265With loss 0.1267430099331721 epoch: 10266 Epoch 10266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10266With loss 0.1267430099331721 epoch: 10267 Epoch 10267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10267With loss 0.1267430099331721 epoch: 10268 Epoch 10268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10268With loss 0.1267430099331721 epoch: 10269 Epoch 10269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10269With loss 0.1267430099331721 epoch: 10270 Epoch 10270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10270With loss 0.1267430099331721 epoch: 10271 Epoch 10271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10271With loss 0.1267430099331721 epoch: 10272 Epoch 10272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10272With loss 0.1267430099331721 epoch: 10273 Epoch 10273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10273With loss 0.1267430099331721 epoch: 10274 Epoch 10274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10274With loss 0.1267430099331721 epoch: 10275 Epoch 10275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10275With loss 0.1267430099331721 epoch: 10276 Epoch 10276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10276With loss 0.1267430099331721 epoch: 10277 Epoch 10277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10277With loss 0.1267430099331721 epoch: 10278 Epoch 10278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10278With loss 0.1267430099331721 epoch: 10279 Epoch 10279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10279With loss 0.1267430099331721 epoch: 10280 Epoch 10280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10280With loss 0.1267430099331721 epoch: 10281 Epoch 10281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10281With loss 0.1267430099331721 epoch: 10282 Epoch 10282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10282With loss 0.1267430099331721 epoch: 10283 Epoch 10283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10283With loss 0.1267430099331721 epoch: 10284 Epoch 10284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10284With loss 0.1267430099331721 epoch: 10285 Epoch 10285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10285With loss 0.1267430099331721 epoch: 10286 Epoch 10286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10286With loss 0.1267430099331721 epoch: 10287 Epoch 10287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10287With loss 0.1267430099331721 epoch: 10288 Epoch 10288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10288With loss 0.1267430099331721 epoch: 10289 Epoch 10289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10289With loss 0.1267430099331721 epoch: 10290 Epoch 10290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10290With loss 0.1267430099331721 epoch: 10291 Epoch 10291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10291With loss 0.1267430099331721 epoch: 10292 Epoch 10292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10292With loss 0.1267430099331721 epoch: 10293 Epoch 10293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10293With loss 0.1267430099331721 epoch: 10294 Epoch 10294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10294With loss 0.1267430099331721 epoch: 10295 Epoch 10295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10295With loss 0.1267430099331721 epoch: 10296 Epoch 10296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10296With loss 0.1267430099331721 epoch: 10297 Epoch 10297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10297With loss 0.1267430099331721 epoch: 10298 Epoch 10298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10298With loss 0.1267430099331721 epoch: 10299 Epoch 10299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10299With loss 0.1267430099331721 epoch: 10300 Epoch 10300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10300With loss 0.1267430099331721 epoch: 10301 Epoch 10301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10301With loss 0.1267430099331721 epoch: 10302 Epoch 10302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10302With loss 0.1267430099331721 epoch: 10303 Epoch 10303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10303With loss 0.1267430099331721 epoch: 10304 Epoch 10304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10304With loss 0.1267430099331721 epoch: 10305 Epoch 10305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10305With loss 0.1267430099331721 epoch: 10306 Epoch 10306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10306With loss 0.1267430099331721 epoch: 10307 Epoch 10307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10307With loss 0.1267430099331721 epoch: 10308 Epoch 10308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10308With loss 0.1267430099331721 epoch: 10309 Epoch 10309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10309With loss 0.1267430099331721 epoch: 10310 Epoch 10310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10310With loss 0.1267430099331721 epoch: 10311 Epoch 10311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10311With loss 0.1267430099331721 epoch: 10312 Epoch 10312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10312With loss 0.1267430099331721 epoch: 10313 Epoch 10313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10313With loss 0.1267430099331721 epoch: 10314 Epoch 10314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10314With loss 0.1267430099331721 epoch: 10315 Epoch 10315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10315With loss 0.1267430099331721 epoch: 10316 Epoch 10316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10316With loss 0.1267430099331721 epoch: 10317 Epoch 10317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10317With loss 0.1267430099331721 epoch: 10318 Epoch 10318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10318With loss 0.1267430099331721 epoch: 10319 Epoch 10319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10319With loss 0.1267430099331721 epoch: 10320 Epoch 10320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10320With loss 0.1267430099331721 epoch: 10321 Epoch 10321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10321With loss 0.1267430099331721 epoch: 10322 Epoch 10322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10322With loss 0.1267430099331721 epoch: 10323 Epoch 10323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10323With loss 0.1267430099331721 epoch: 10324 Epoch 10324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10324With loss 0.1267430099331721 epoch: 10325 Epoch 10325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10325With loss 0.1267430099331721 epoch: 10326 Epoch 10326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10326With loss 0.1267430099331721 epoch: 10327 Epoch 10327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10327With loss 0.1267430099331721 epoch: 10328 Epoch 10328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10328With loss 0.1267430099331721 epoch: 10329 Epoch 10329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10329With loss 0.1267430099331721 epoch: 10330 Epoch 10330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10330With loss 0.1267430099331721 epoch: 10331 Epoch 10331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10331With loss 0.1267430099331721 epoch: 10332 Epoch 10332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10332With loss 0.1267430099331721 epoch: 10333 Epoch 10333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10333With loss 0.1267430099331721 epoch: 10334 Epoch 10334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10334With loss 0.1267430099331721 epoch: 10335 Epoch 10335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10335With loss 0.1267430099331721 epoch: 10336 Epoch 10336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10336With loss 0.1267430099331721 epoch: 10337 Epoch 10337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10337With loss 0.1267430099331721 epoch: 10338 Epoch 10338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10338With loss 0.1267430099331721 epoch: 10339 Epoch 10339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10339With loss 0.1267430099331721 epoch: 10340 Epoch 10340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10340With loss 0.1267430099331721 epoch: 10341 Epoch 10341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10341With loss 0.1267430099331721 epoch: 10342 Epoch 10342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10342With loss 0.1267430099331721 epoch: 10343 Epoch 10343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10343With loss 0.1267430099331721 epoch: 10344 Epoch 10344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10344With loss 0.1267430099331721 epoch: 10345 Epoch 10345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10345With loss 0.1267430099331721 epoch: 10346 Epoch 10346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10346With loss 0.1267430099331721 epoch: 10347 Epoch 10347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10347With loss 0.1267430099331721 epoch: 10348 Epoch 10348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10348With loss 0.1267430099331721 epoch: 10349 Epoch 10349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10349With loss 0.1267430099331721 epoch: 10350 Epoch 10350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10350With loss 0.1267430099331721 epoch: 10351 Epoch 10351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10351With loss 0.1267430099331721 epoch: 10352 Epoch 10352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10352With loss 0.1267430099331721 epoch: 10353 Epoch 10353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10353With loss 0.1267430099331721 epoch: 10354 Epoch 10354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10354With loss 0.1267430099331721 epoch: 10355 Epoch 10355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10355With loss 0.1267430099331721 epoch: 10356 Epoch 10356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10356With loss 0.1267430099331721 epoch: 10357 Epoch 10357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10357With loss 0.1267430099331721 epoch: 10358 Epoch 10358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10358With loss 0.1267430099331721 epoch: 10359 Epoch 10359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10359With loss 0.1267430099331721 epoch: 10360 Epoch 10360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10360With loss 0.1267430099331721 epoch: 10361 Epoch 10361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10361With loss 0.1267430099331721 epoch: 10362 Epoch 10362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10362With loss 0.1267430099331721 epoch: 10363 Epoch 10363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10363With loss 0.1267430099331721 epoch: 10364 Epoch 10364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10364With loss 0.1267430099331721 epoch: 10365 Epoch 10365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10365With loss 0.1267430099331721 epoch: 10366 Epoch 10366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10366With loss 0.1267430099331721 epoch: 10367 Epoch 10367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10367With loss 0.1267430099331721 epoch: 10368 Epoch 10368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10368With loss 0.1267430099331721 epoch: 10369 Epoch 10369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10369With loss 0.1267430099331721 epoch: 10370 Epoch 10370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10370With loss 0.1267430099331721 epoch: 10371 Epoch 10371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10371With loss 0.1267430099331721 epoch: 10372 Epoch 10372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10372With loss 0.1267430099331721 epoch: 10373 Epoch 10373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10373With loss 0.1267430099331721 epoch: 10374 Epoch 10374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10374With loss 0.1267430099331721 epoch: 10375 Epoch 10375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10375With loss 0.1267430099331721 epoch: 10376 Epoch 10376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10376With loss 0.1267430099331721 epoch: 10377 Epoch 10377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10377With loss 0.1267430099331721 epoch: 10378 Epoch 10378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10378With loss 0.1267430099331721 epoch: 10379 Epoch 10379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10379With loss 0.1267430099331721 epoch: 10380 Epoch 10380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10380With loss 0.1267430099331721 epoch: 10381 Epoch 10381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10381With loss 0.1267430099331721 epoch: 10382 Epoch 10382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10382With loss 0.1267430099331721 epoch: 10383 Epoch 10383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10383With loss 0.1267430099331721 epoch: 10384 Epoch 10384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10384With loss 0.1267430099331721 epoch: 10385 Epoch 10385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10385With loss 0.1267430099331721 epoch: 10386 Epoch 10386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10386With loss 0.1267430099331721 epoch: 10387 Epoch 10387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10387With loss 0.1267430099331721 epoch: 10388 Epoch 10388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10388With loss 0.1267430099331721 epoch: 10389 Epoch 10389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10389With loss 0.1267430099331721 epoch: 10390 Epoch 10390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10390With loss 0.1267430099331721 epoch: 10391 Epoch 10391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10391With loss 0.1267430099331721 epoch: 10392 Epoch 10392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10392With loss 0.1267430099331721 epoch: 10393 Epoch 10393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10393With loss 0.1267430099331721 epoch: 10394 Epoch 10394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10394With loss 0.1267430099331721 epoch: 10395 Epoch 10395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10395With loss 0.1267430099331721 epoch: 10396 Epoch 10396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10396With loss 0.1267430099331721 epoch: 10397 Epoch 10397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10397With loss 0.1267430099331721 epoch: 10398 Epoch 10398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10398With loss 0.1267430099331721 epoch: 10399 Epoch 10399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10399With loss 0.1267430099331721 epoch: 10400 Epoch 10400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10400With loss 0.1267430099331721 epoch: 10401 Epoch 10401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10401With loss 0.1267430099331721 epoch: 10402 Epoch 10402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10402With loss 0.1267430099331721 epoch: 10403 Epoch 10403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10403With loss 0.1267430099331721 epoch: 10404 Epoch 10404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10404With loss 0.1267430099331721 epoch: 10405 Epoch 10405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10405With loss 0.1267430099331721 epoch: 10406 Epoch 10406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10406With loss 0.1267430099331721 epoch: 10407 Epoch 10407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10407With loss 0.1267430099331721 epoch: 10408 Epoch 10408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10408With loss 0.1267430099331721 epoch: 10409 Epoch 10409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10409With loss 0.1267430099331721 epoch: 10410 Epoch 10410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10410With loss 0.1267430099331721 epoch: 10411 Epoch 10411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10411With loss 0.1267430099331721 epoch: 10412 Epoch 10412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10412With loss 0.1267430099331721 epoch: 10413 Epoch 10413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10413With loss 0.1267430099331721 epoch: 10414 Epoch 10414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10414With loss 0.1267430099331721 epoch: 10415 Epoch 10415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10415With loss 0.1267430099331721 epoch: 10416 Epoch 10416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10416With loss 0.1267430099331721 epoch: 10417 Epoch 10417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10417With loss 0.1267430099331721 epoch: 10418 Epoch 10418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10418With loss 0.1267430099331721 epoch: 10419 Epoch 10419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10419With loss 0.1267430099331721 epoch: 10420 Epoch 10420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10420With loss 0.1267430099331721 epoch: 10421 Epoch 10421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10421With loss 0.1267430099331721 epoch: 10422 Epoch 10422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10422With loss 0.1267430099331721 epoch: 10423 Epoch 10423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10423With loss 0.1267430099331721 epoch: 10424 Epoch 10424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10424With loss 0.1267430099331721 epoch: 10425 Epoch 10425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10425With loss 0.1267430099331721 epoch: 10426 Epoch 10426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10426With loss 0.1267430099331721 epoch: 10427 Epoch 10427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10427With loss 0.1267430099331721 epoch: 10428 Epoch 10428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10428With loss 0.1267430099331721 epoch: 10429 Epoch 10429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10429With loss 0.1267430099331721 epoch: 10430 Epoch 10430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10430With loss 0.1267430099331721 epoch: 10431 Epoch 10431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10431With loss 0.1267430099331721 epoch: 10432 Epoch 10432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10432With loss 0.1267430099331721 epoch: 10433 Epoch 10433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10433With loss 0.1267430099331721 epoch: 10434 Epoch 10434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10434With loss 0.1267430099331721 epoch: 10435 Epoch 10435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10435With loss 0.1267430099331721 epoch: 10436 Epoch 10436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10436With loss 0.1267430099331721 epoch: 10437 Epoch 10437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10437With loss 0.1267430099331721 epoch: 10438 Epoch 10438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10438With loss 0.1267430099331721 epoch: 10439 Epoch 10439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10439With loss 0.1267430099331721 epoch: 10440 Epoch 10440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10440With loss 0.1267430099331721 epoch: 10441 Epoch 10441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10441With loss 0.1267430099331721 epoch: 10442 Epoch 10442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10442With loss 0.1267430099331721 epoch: 10443 Epoch 10443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10443With loss 0.1267430099331721 epoch: 10444 Epoch 10444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10444With loss 0.1267430099331721 epoch: 10445 Epoch 10445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10445With loss 0.1267430099331721 epoch: 10446 Epoch 10446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10446With loss 0.1267430099331721 epoch: 10447 Epoch 10447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10447With loss 0.1267430099331721 epoch: 10448 Epoch 10448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10448With loss 0.1267430099331721 epoch: 10449 Epoch 10449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10449With loss 0.1267430099331721 epoch: 10450 Epoch 10450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10450With loss 0.1267430099331721 epoch: 10451 Epoch 10451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10451With loss 0.1267430099331721 epoch: 10452 Epoch 10452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10452With loss 0.1267430099331721 epoch: 10453 Epoch 10453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10453With loss 0.1267430099331721 epoch: 10454 Epoch 10454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10454With loss 0.1267430099331721 epoch: 10455 Epoch 10455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10455With loss 0.1267430099331721 epoch: 10456 Epoch 10456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10456With loss 0.1267430099331721 epoch: 10457 Epoch 10457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10457With loss 0.1267430099331721 epoch: 10458 Epoch 10458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10458With loss 0.1267430099331721 epoch: 10459 Epoch 10459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10459With loss 0.1267430099331721 epoch: 10460 Epoch 10460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10460With loss 0.1267430099331721 epoch: 10461 Epoch 10461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10461With loss 0.1267430099331721 epoch: 10462 Epoch 10462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10462With loss 0.1267430099331721 epoch: 10463 Epoch 10463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10463With loss 0.1267430099331721 epoch: 10464 Epoch 10464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10464With loss 0.1267430099331721 epoch: 10465 Epoch 10465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10465With loss 0.1267430099331721 epoch: 10466 Epoch 10466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10466With loss 0.1267430099331721 epoch: 10467 Epoch 10467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10467With loss 0.1267430099331721 epoch: 10468 Epoch 10468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10468With loss 0.1267430099331721 epoch: 10469 Epoch 10469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10469With loss 0.1267430099331721 epoch: 10470 Epoch 10470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10470With loss 0.1267430099331721 epoch: 10471 Epoch 10471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10471With loss 0.1267430099331721 epoch: 10472 Epoch 10472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10472With loss 0.1267430099331721 epoch: 10473 Epoch 10473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10473With loss 0.1267430099331721 epoch: 10474 Epoch 10474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10474With loss 0.1267430099331721 epoch: 10475 Epoch 10475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10475With loss 0.1267430099331721 epoch: 10476 Epoch 10476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10476With loss 0.1267430099331721 epoch: 10477 Epoch 10477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10477With loss 0.1267430099331721 epoch: 10478 Epoch 10478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10478With loss 0.1267430099331721 epoch: 10479 Epoch 10479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10479With loss 0.1267430099331721 epoch: 10480 Epoch 10480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10480With loss 0.1267430099331721 epoch: 10481 Epoch 10481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10481With loss 0.1267430099331721 epoch: 10482 Epoch 10482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10482With loss 0.1267430099331721 epoch: 10483 Epoch 10483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10483With loss 0.1267430099331721 epoch: 10484 Epoch 10484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10484With loss 0.1267430099331721 epoch: 10485 Epoch 10485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10485With loss 0.1267430099331721 epoch: 10486 Epoch 10486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10486With loss 0.1267430099331721 epoch: 10487 Epoch 10487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10487With loss 0.1267430099331721 epoch: 10488 Epoch 10488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10488With loss 0.1267430099331721 epoch: 10489 Epoch 10489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10489With loss 0.1267430099331721 epoch: 10490 Epoch 10490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10490With loss 0.1267430099331721 epoch: 10491 Epoch 10491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10491With loss 0.1267430099331721 epoch: 10492 Epoch 10492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10492With loss 0.1267430099331721 epoch: 10493 Epoch 10493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10493With loss 0.1267430099331721 epoch: 10494 Epoch 10494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10494With loss 0.1267430099331721 epoch: 10495 Epoch 10495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10495With loss 0.1267430099331721 epoch: 10496 Epoch 10496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10496With loss 0.1267430099331721 epoch: 10497 Epoch 10497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10497With loss 0.1267430099331721 epoch: 10498 Epoch 10498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10498With loss 0.1267430099331721 epoch: 10499 Epoch 10499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10499With loss 0.1267430099331721 epoch: 10500 Epoch 10500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10500With loss 0.1267430099331721 epoch: 10501 Epoch 10501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10501With loss 0.1267430099331721 epoch: 10502 Epoch 10502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10502With loss 0.1267430099331721 epoch: 10503 Epoch 10503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10503With loss 0.1267430099331721 epoch: 10504 Epoch 10504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10504With loss 0.1267430099331721 epoch: 10505 Epoch 10505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10505With loss 0.1267430099331721 epoch: 10506 Epoch 10506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10506With loss 0.1267430099331721 epoch: 10507 Epoch 10507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10507With loss 0.1267430099331721 epoch: 10508 Epoch 10508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10508With loss 0.1267430099331721 epoch: 10509 Epoch 10509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10509With loss 0.1267430099331721 epoch: 10510 Epoch 10510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10510With loss 0.1267430099331721 epoch: 10511 Epoch 10511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10511With loss 0.1267430099331721 epoch: 10512 Epoch 10512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10512With loss 0.1267430099331721 epoch: 10513 Epoch 10513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10513With loss 0.1267430099331721 epoch: 10514 Epoch 10514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10514With loss 0.1267430099331721 epoch: 10515 Epoch 10515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10515With loss 0.1267430099331721 epoch: 10516 Epoch 10516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10516With loss 0.1267430099331721 epoch: 10517 Epoch 10517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10517With loss 0.1267430099331721 epoch: 10518 Epoch 10518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10518With loss 0.1267430099331721 epoch: 10519 Epoch 10519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10519With loss 0.1267430099331721 epoch: 10520 Epoch 10520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10520With loss 0.1267430099331721 epoch: 10521 Epoch 10521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10521With loss 0.1267430099331721 epoch: 10522 Epoch 10522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10522With loss 0.1267430099331721 epoch: 10523 Epoch 10523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10523With loss 0.1267430099331721 epoch: 10524 Epoch 10524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10524With loss 0.1267430099331721 epoch: 10525 Epoch 10525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10525With loss 0.1267430099331721 epoch: 10526 Epoch 10526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10526With loss 0.1267430099331721 epoch: 10527 Epoch 10527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10527With loss 0.1267430099331721 epoch: 10528 Epoch 10528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10528With loss 0.1267430099331721 epoch: 10529 Epoch 10529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10529With loss 0.1267430099331721 epoch: 10530 Epoch 10530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10530With loss 0.1267430099331721 epoch: 10531 Epoch 10531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10531With loss 0.1267430099331721 epoch: 10532 Epoch 10532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10532With loss 0.1267430099331721 epoch: 10533 Epoch 10533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10533With loss 0.1267430099331721 epoch: 10534 Epoch 10534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10534With loss 0.1267430099331721 epoch: 10535 Epoch 10535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10535With loss 0.1267430099331721 epoch: 10536 Epoch 10536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10536With loss 0.1267430099331721 epoch: 10537 Epoch 10537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10537With loss 0.1267430099331721 epoch: 10538 Epoch 10538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10538With loss 0.1267430099331721 epoch: 10539 Epoch 10539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10539With loss 0.1267430099331721 epoch: 10540 Epoch 10540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10540With loss 0.1267430099331721 epoch: 10541 Epoch 10541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10541With loss 0.1267430099331721 epoch: 10542 Epoch 10542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10542With loss 0.1267430099331721 epoch: 10543 Epoch 10543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10543With loss 0.1267430099331721 epoch: 10544 Epoch 10544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10544With loss 0.1267430099331721 epoch: 10545 Epoch 10545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10545With loss 0.1267430099331721 epoch: 10546 Epoch 10546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10546With loss 0.1267430099331721 epoch: 10547 Epoch 10547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10547With loss 0.1267430099331721 epoch: 10548 Epoch 10548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10548With loss 0.1267430099331721 epoch: 10549 Epoch 10549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10549With loss 0.1267430099331721 epoch: 10550 Epoch 10550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10550With loss 0.1267430099331721 epoch: 10551 Epoch 10551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10551With loss 0.1267430099331721 epoch: 10552 Epoch 10552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10552With loss 0.1267430099331721 epoch: 10553 Epoch 10553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10553With loss 0.1267430099331721 epoch: 10554 Epoch 10554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10554With loss 0.1267430099331721 epoch: 10555 Epoch 10555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10555With loss 0.1267430099331721 epoch: 10556 Epoch 10556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10556With loss 0.1267430099331721 epoch: 10557 Epoch 10557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10557With loss 0.1267430099331721 epoch: 10558 Epoch 10558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10558With loss 0.1267430099331721 epoch: 10559 Epoch 10559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10559With loss 0.1267430099331721 epoch: 10560 Epoch 10560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10560With loss 0.1267430099331721 epoch: 10561 Epoch 10561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10561With loss 0.1267430099331721 epoch: 10562 Epoch 10562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10562With loss 0.1267430099331721 epoch: 10563 Epoch 10563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10563With loss 0.1267430099331721 epoch: 10564 Epoch 10564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10564With loss 0.1267430099331721 epoch: 10565 Epoch 10565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10565With loss 0.1267430099331721 epoch: 10566 Epoch 10566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10566With loss 0.1267430099331721 epoch: 10567 Epoch 10567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10567With loss 0.1267430099331721 epoch: 10568 Epoch 10568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10568With loss 0.1267430099331721 epoch: 10569 Epoch 10569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10569With loss 0.1267430099331721 epoch: 10570 Epoch 10570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10570With loss 0.1267430099331721 epoch: 10571 Epoch 10571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10571With loss 0.1267430099331721 epoch: 10572 Epoch 10572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10572With loss 0.1267430099331721 epoch: 10573 Epoch 10573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10573With loss 0.1267430099331721 epoch: 10574 Epoch 10574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10574With loss 0.1267430099331721 epoch: 10575 Epoch 10575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10575With loss 0.1267430099331721 epoch: 10576 Epoch 10576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10576With loss 0.1267430099331721 epoch: 10577 Epoch 10577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10577With loss 0.1267430099331721 epoch: 10578 Epoch 10578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10578With loss 0.1267430099331721 epoch: 10579 Epoch 10579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10579With loss 0.1267430099331721 epoch: 10580 Epoch 10580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10580With loss 0.1267430099331721 epoch: 10581 Epoch 10581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10581With loss 0.1267430099331721 epoch: 10582 Epoch 10582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10582With loss 0.1267430099331721 epoch: 10583 Epoch 10583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10583With loss 0.1267430099331721 epoch: 10584 Epoch 10584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10584With loss 0.1267430099331721 epoch: 10585 Epoch 10585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10585With loss 0.1267430099331721 epoch: 10586 Epoch 10586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10586With loss 0.1267430099331721 epoch: 10587 Epoch 10587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10587With loss 0.1267430099331721 epoch: 10588 Epoch 10588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10588With loss 0.1267430099331721 epoch: 10589 Epoch 10589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10589With loss 0.1267430099331721 epoch: 10590 Epoch 10590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10590With loss 0.1267430099331721 epoch: 10591 Epoch 10591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10591With loss 0.1267430099331721 epoch: 10592 Epoch 10592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10592With loss 0.1267430099331721 epoch: 10593 Epoch 10593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10593With loss 0.1267430099331721 epoch: 10594 Epoch 10594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10594With loss 0.1267430099331721 epoch: 10595 Epoch 10595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10595With loss 0.1267430099331721 epoch: 10596 Epoch 10596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10596With loss 0.1267430099331721 epoch: 10597 Epoch 10597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10597With loss 0.1267430099331721 epoch: 10598 Epoch 10598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10598With loss 0.1267430099331721 epoch: 10599 Epoch 10599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10599With loss 0.1267430099331721 epoch: 10600 Epoch 10600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10600With loss 0.1267430099331721 epoch: 10601 Epoch 10601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10601With loss 0.1267430099331721 epoch: 10602 Epoch 10602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10602With loss 0.1267430099331721 epoch: 10603 Epoch 10603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10603With loss 0.1267430099331721 epoch: 10604 Epoch 10604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10604With loss 0.1267430099331721 epoch: 10605 Epoch 10605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10605With loss 0.1267430099331721 epoch: 10606 Epoch 10606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10606With loss 0.1267430099331721 epoch: 10607 Epoch 10607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10607With loss 0.1267430099331721 epoch: 10608 Epoch 10608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10608With loss 0.1267430099331721 epoch: 10609 Epoch 10609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10609With loss 0.1267430099331721 epoch: 10610 Epoch 10610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10610With loss 0.1267430099331721 epoch: 10611 Epoch 10611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10611With loss 0.1267430099331721 epoch: 10612 Epoch 10612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10612With loss 0.1267430099331721 epoch: 10613 Epoch 10613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10613With loss 0.1267430099331721 epoch: 10614 Epoch 10614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10614With loss 0.1267430099331721 epoch: 10615 Epoch 10615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10615With loss 0.1267430099331721 epoch: 10616 Epoch 10616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10616With loss 0.1267430099331721 epoch: 10617 Epoch 10617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10617With loss 0.1267430099331721 epoch: 10618 Epoch 10618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10618With loss 0.1267430099331721 epoch: 10619 Epoch 10619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10619With loss 0.1267430099331721 epoch: 10620 Epoch 10620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10620With loss 0.1267430099331721 epoch: 10621 Epoch 10621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10621With loss 0.1267430099331721 epoch: 10622 Epoch 10622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10622With loss 0.1267430099331721 epoch: 10623 Epoch 10623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10623With loss 0.1267430099331721 epoch: 10624 Epoch 10624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10624With loss 0.1267430099331721 epoch: 10625 Epoch 10625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10625With loss 0.1267430099331721 epoch: 10626 Epoch 10626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10626With loss 0.1267430099331721 epoch: 10627 Epoch 10627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10627With loss 0.1267430099331721 epoch: 10628 Epoch 10628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10628With loss 0.1267430099331721 epoch: 10629 Epoch 10629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10629With loss 0.1267430099331721 epoch: 10630 Epoch 10630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10630With loss 0.1267430099331721 epoch: 10631 Epoch 10631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10631With loss 0.1267430099331721 epoch: 10632 Epoch 10632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10632With loss 0.1267430099331721 epoch: 10633 Epoch 10633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10633With loss 0.1267430099331721 epoch: 10634 Epoch 10634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10634With loss 0.1267430099331721 epoch: 10635 Epoch 10635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10635With loss 0.1267430099331721 epoch: 10636 Epoch 10636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10636With loss 0.1267430099331721 epoch: 10637 Epoch 10637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10637With loss 0.1267430099331721 epoch: 10638 Epoch 10638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10638With loss 0.1267430099331721 epoch: 10639 Epoch 10639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10639With loss 0.1267430099331721 epoch: 10640 Epoch 10640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10640With loss 0.1267430099331721 epoch: 10641 Epoch 10641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10641With loss 0.1267430099331721 epoch: 10642 Epoch 10642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10642With loss 0.1267430099331721 epoch: 10643 Epoch 10643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10643With loss 0.1267430099331721 epoch: 10644 Epoch 10644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10644With loss 0.1267430099331721 epoch: 10645 Epoch 10645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10645With loss 0.1267430099331721 epoch: 10646 Epoch 10646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10646With loss 0.1267430099331721 epoch: 10647 Epoch 10647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10647With loss 0.1267430099331721 epoch: 10648 Epoch 10648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10648With loss 0.1267430099331721 epoch: 10649 Epoch 10649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10649With loss 0.1267430099331721 epoch: 10650 Epoch 10650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10650With loss 0.1267430099331721 epoch: 10651 Epoch 10651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10651With loss 0.1267430099331721 epoch: 10652 Epoch 10652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10652With loss 0.1267430099331721 epoch: 10653 Epoch 10653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10653With loss 0.1267430099331721 epoch: 10654 Epoch 10654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10654With loss 0.1267430099331721 epoch: 10655 Epoch 10655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10655With loss 0.1267430099331721 epoch: 10656 Epoch 10656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10656With loss 0.1267430099331721 epoch: 10657 Epoch 10657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10657With loss 0.1267430099331721 epoch: 10658 Epoch 10658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10658With loss 0.1267430099331721 epoch: 10659 Epoch 10659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10659With loss 0.1267430099331721 epoch: 10660 Epoch 10660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10660With loss 0.1267430099331721 epoch: 10661 Epoch 10661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10661With loss 0.1267430099331721 epoch: 10662 Epoch 10662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10662With loss 0.1267430099331721 epoch: 10663 Epoch 10663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10663With loss 0.1267430099331721 epoch: 10664 Epoch 10664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10664With loss 0.1267430099331721 epoch: 10665 Epoch 10665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10665With loss 0.1267430099331721 epoch: 10666 Epoch 10666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10666With loss 0.1267430099331721 epoch: 10667 Epoch 10667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10667With loss 0.1267430099331721 epoch: 10668 Epoch 10668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10668With loss 0.1267430099331721 epoch: 10669 Epoch 10669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10669With loss 0.1267430099331721 epoch: 10670 Epoch 10670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10670With loss 0.1267430099331721 epoch: 10671 Epoch 10671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10671With loss 0.1267430099331721 epoch: 10672 Epoch 10672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10672With loss 0.1267430099331721 epoch: 10673 Epoch 10673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10673With loss 0.1267430099331721 epoch: 10674 Epoch 10674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10674With loss 0.1267430099331721 epoch: 10675 Epoch 10675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10675With loss 0.1267430099331721 epoch: 10676 Epoch 10676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10676With loss 0.1267430099331721 epoch: 10677 Epoch 10677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10677With loss 0.1267430099331721 epoch: 10678 Epoch 10678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10678With loss 0.1267430099331721 epoch: 10679 Epoch 10679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10679With loss 0.1267430099331721 epoch: 10680 Epoch 10680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10680With loss 0.1267430099331721 epoch: 10681 Epoch 10681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10681With loss 0.1267430099331721 epoch: 10682 Epoch 10682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10682With loss 0.1267430099331721 epoch: 10683 Epoch 10683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10683With loss 0.1267430099331721 epoch: 10684 Epoch 10684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10684With loss 0.1267430099331721 epoch: 10685 Epoch 10685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10685With loss 0.1267430099331721 epoch: 10686 Epoch 10686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10686With loss 0.1267430099331721 epoch: 10687 Epoch 10687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10687With loss 0.1267430099331721 epoch: 10688 Epoch 10688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10688With loss 0.1267430099331721 epoch: 10689 Epoch 10689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10689With loss 0.1267430099331721 epoch: 10690 Epoch 10690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10690With loss 0.1267430099331721 epoch: 10691 Epoch 10691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10691With loss 0.1267430099331721 epoch: 10692 Epoch 10692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10692With loss 0.1267430099331721 epoch: 10693 Epoch 10693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10693With loss 0.1267430099331721 epoch: 10694 Epoch 10694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10694With loss 0.1267430099331721 epoch: 10695 Epoch 10695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10695With loss 0.1267430099331721 epoch: 10696 Epoch 10696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10696With loss 0.1267430099331721 epoch: 10697 Epoch 10697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10697With loss 0.1267430099331721 epoch: 10698 Epoch 10698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10698With loss 0.1267430099331721 epoch: 10699 Epoch 10699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10699With loss 0.1267430099331721 epoch: 10700 Epoch 10700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10700With loss 0.1267430099331721 epoch: 10701 Epoch 10701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10701With loss 0.1267430099331721 epoch: 10702 Epoch 10702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10702With loss 0.1267430099331721 epoch: 10703 Epoch 10703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10703With loss 0.1267430099331721 epoch: 10704 Epoch 10704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10704With loss 0.1267430099331721 epoch: 10705 Epoch 10705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10705With loss 0.1267430099331721 epoch: 10706 Epoch 10706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10706With loss 0.1267430099331721 epoch: 10707 Epoch 10707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10707With loss 0.1267430099331721 epoch: 10708 Epoch 10708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10708With loss 0.1267430099331721 epoch: 10709 Epoch 10709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10709With loss 0.1267430099331721 epoch: 10710 Epoch 10710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10710With loss 0.1267430099331721 epoch: 10711 Epoch 10711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10711With loss 0.1267430099331721 epoch: 10712 Epoch 10712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10712With loss 0.1267430099331721 epoch: 10713 Epoch 10713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10713With loss 0.1267430099331721 epoch: 10714 Epoch 10714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10714With loss 0.1267430099331721 epoch: 10715 Epoch 10715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10715With loss 0.1267430099331721 epoch: 10716 Epoch 10716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10716With loss 0.1267430099331721 epoch: 10717 Epoch 10717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10717With loss 0.1267430099331721 epoch: 10718 Epoch 10718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10718With loss 0.1267430099331721 epoch: 10719 Epoch 10719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10719With loss 0.1267430099331721 epoch: 10720 Epoch 10720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10720With loss 0.1267430099331721 epoch: 10721 Epoch 10721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10721With loss 0.1267430099331721 epoch: 10722 Epoch 10722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10722With loss 0.1267430099331721 epoch: 10723 Epoch 10723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10723With loss 0.1267430099331721 epoch: 10724 Epoch 10724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10724With loss 0.1267430099331721 epoch: 10725 Epoch 10725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10725With loss 0.1267430099331721 epoch: 10726 Epoch 10726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10726With loss 0.1267430099331721 epoch: 10727 Epoch 10727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10727With loss 0.1267430099331721 epoch: 10728 Epoch 10728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10728With loss 0.1267430099331721 epoch: 10729 Epoch 10729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10729With loss 0.1267430099331721 epoch: 10730 Epoch 10730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10730With loss 0.1267430099331721 epoch: 10731 Epoch 10731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10731With loss 0.1267430099331721 epoch: 10732 Epoch 10732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10732With loss 0.1267430099331721 epoch: 10733 Epoch 10733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10733With loss 0.1267430099331721 epoch: 10734 Epoch 10734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10734With loss 0.1267430099331721 epoch: 10735 Epoch 10735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10735With loss 0.1267430099331721 epoch: 10736 Epoch 10736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10736With loss 0.1267430099331721 epoch: 10737 Epoch 10737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10737With loss 0.1267430099331721 epoch: 10738 Epoch 10738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10738With loss 0.1267430099331721 epoch: 10739 Epoch 10739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10739With loss 0.1267430099331721 epoch: 10740 Epoch 10740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10740With loss 0.1267430099331721 epoch: 10741 Epoch 10741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10741With loss 0.1267430099331721 epoch: 10742 Epoch 10742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10742With loss 0.1267430099331721 epoch: 10743 Epoch 10743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10743With loss 0.1267430099331721 epoch: 10744 Epoch 10744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10744With loss 0.1267430099331721 epoch: 10745 Epoch 10745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10745With loss 0.1267430099331721 epoch: 10746 Epoch 10746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10746With loss 0.1267430099331721 epoch: 10747 Epoch 10747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10747With loss 0.1267430099331721 epoch: 10748 Epoch 10748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10748With loss 0.1267430099331721 epoch: 10749 Epoch 10749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10749With loss 0.1267430099331721 epoch: 10750 Epoch 10750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10750With loss 0.1267430099331721 epoch: 10751 Epoch 10751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10751With loss 0.1267430099331721 epoch: 10752 Epoch 10752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10752With loss 0.1267430099331721 epoch: 10753 Epoch 10753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10753With loss 0.1267430099331721 epoch: 10754 Epoch 10754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10754With loss 0.1267430099331721 epoch: 10755 Epoch 10755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10755With loss 0.1267430099331721 epoch: 10756 Epoch 10756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10756With loss 0.1267430099331721 epoch: 10757 Epoch 10757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10757With loss 0.1267430099331721 epoch: 10758 Epoch 10758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10758With loss 0.1267430099331721 epoch: 10759 Epoch 10759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10759With loss 0.1267430099331721 epoch: 10760 Epoch 10760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10760With loss 0.1267430099331721 epoch: 10761 Epoch 10761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10761With loss 0.1267430099331721 epoch: 10762 Epoch 10762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10762With loss 0.1267430099331721 epoch: 10763 Epoch 10763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10763With loss 0.1267430099331721 epoch: 10764 Epoch 10764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10764With loss 0.1267430099331721 epoch: 10765 Epoch 10765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10765With loss 0.1267430099331721 epoch: 10766 Epoch 10766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10766With loss 0.1267430099331721 epoch: 10767 Epoch 10767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10767With loss 0.1267430099331721 epoch: 10768 Epoch 10768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10768With loss 0.1267430099331721 epoch: 10769 Epoch 10769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10769With loss 0.1267430099331721 epoch: 10770 Epoch 10770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10770With loss 0.1267430099331721 epoch: 10771 Epoch 10771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10771With loss 0.1267430099331721 epoch: 10772 Epoch 10772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10772With loss 0.1267430099331721 epoch: 10773 Epoch 10773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10773With loss 0.1267430099331721 epoch: 10774 Epoch 10774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10774With loss 0.1267430099331721 epoch: 10775 Epoch 10775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10775With loss 0.1267430099331721 epoch: 10776 Epoch 10776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10776With loss 0.1267430099331721 epoch: 10777 Epoch 10777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10777With loss 0.1267430099331721 epoch: 10778 Epoch 10778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10778With loss 0.1267430099331721 epoch: 10779 Epoch 10779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10779With loss 0.1267430099331721 epoch: 10780 Epoch 10780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10780With loss 0.1267430099331721 epoch: 10781 Epoch 10781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10781With loss 0.1267430099331721 epoch: 10782 Epoch 10782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10782With loss 0.1267430099331721 epoch: 10783 Epoch 10783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10783With loss 0.1267430099331721 epoch: 10784 Epoch 10784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10784With loss 0.1267430099331721 epoch: 10785 Epoch 10785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10785With loss 0.1267430099331721 epoch: 10786 Epoch 10786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10786With loss 0.1267430099331721 epoch: 10787 Epoch 10787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10787With loss 0.1267430099331721 epoch: 10788 Epoch 10788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10788With loss 0.1267430099331721 epoch: 10789 Epoch 10789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10789With loss 0.1267430099331721 epoch: 10790 Epoch 10790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10790With loss 0.1267430099331721 epoch: 10791 Epoch 10791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10791With loss 0.1267430099331721 epoch: 10792 Epoch 10792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10792With loss 0.1267430099331721 epoch: 10793 Epoch 10793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10793With loss 0.1267430099331721 epoch: 10794 Epoch 10794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10794With loss 0.1267430099331721 epoch: 10795 Epoch 10795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10795With loss 0.1267430099331721 epoch: 10796 Epoch 10796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10796With loss 0.1267430099331721 epoch: 10797 Epoch 10797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10797With loss 0.1267430099331721 epoch: 10798 Epoch 10798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10798With loss 0.1267430099331721 epoch: 10799 Epoch 10799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10799With loss 0.1267430099331721 epoch: 10800 Epoch 10800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10800With loss 0.1267430099331721 epoch: 10801 Epoch 10801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10801With loss 0.1267430099331721 epoch: 10802 Epoch 10802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10802With loss 0.1267430099331721 epoch: 10803 Epoch 10803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10803With loss 0.1267430099331721 epoch: 10804 Epoch 10804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10804With loss 0.1267430099331721 epoch: 10805 Epoch 10805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10805With loss 0.1267430099331721 epoch: 10806 Epoch 10806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10806With loss 0.1267430099331721 epoch: 10807 Epoch 10807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10807With loss 0.1267430099331721 epoch: 10808 Epoch 10808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10808With loss 0.1267430099331721 epoch: 10809 Epoch 10809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10809With loss 0.1267430099331721 epoch: 10810 Epoch 10810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10810With loss 0.1267430099331721 epoch: 10811 Epoch 10811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10811With loss 0.1267430099331721 epoch: 10812 Epoch 10812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10812With loss 0.1267430099331721 epoch: 10813 Epoch 10813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10813With loss 0.1267430099331721 epoch: 10814 Epoch 10814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10814With loss 0.1267430099331721 epoch: 10815 Epoch 10815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10815With loss 0.1267430099331721 epoch: 10816 Epoch 10816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10816With loss 0.1267430099331721 epoch: 10817 Epoch 10817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10817With loss 0.1267430099331721 epoch: 10818 Epoch 10818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10818With loss 0.1267430099331721 epoch: 10819 Epoch 10819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10819With loss 0.1267430099331721 epoch: 10820 Epoch 10820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10820With loss 0.1267430099331721 epoch: 10821 Epoch 10821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10821With loss 0.1267430099331721 epoch: 10822 Epoch 10822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10822With loss 0.1267430099331721 epoch: 10823 Epoch 10823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10823With loss 0.1267430099331721 epoch: 10824 Epoch 10824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10824With loss 0.1267430099331721 epoch: 10825 Epoch 10825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10825With loss 0.1267430099331721 epoch: 10826 Epoch 10826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10826With loss 0.1267430099331721 epoch: 10827 Epoch 10827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10827With loss 0.1267430099331721 epoch: 10828 Epoch 10828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10828With loss 0.1267430099331721 epoch: 10829 Epoch 10829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10829With loss 0.1267430099331721 epoch: 10830 Epoch 10830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10830With loss 0.1267430099331721 epoch: 10831 Epoch 10831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10831With loss 0.1267430099331721 epoch: 10832 Epoch 10832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10832With loss 0.1267430099331721 epoch: 10833 Epoch 10833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10833With loss 0.1267430099331721 epoch: 10834 Epoch 10834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10834With loss 0.1267430099331721 epoch: 10835 Epoch 10835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10835With loss 0.1267430099331721 epoch: 10836 Epoch 10836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10836With loss 0.1267430099331721 epoch: 10837 Epoch 10837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10837With loss 0.1267430099331721 epoch: 10838 Epoch 10838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10838With loss 0.1267430099331721 epoch: 10839 Epoch 10839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10839With loss 0.1267430099331721 epoch: 10840 Epoch 10840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10840With loss 0.1267430099331721 epoch: 10841 Epoch 10841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10841With loss 0.1267430099331721 epoch: 10842 Epoch 10842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10842With loss 0.1267430099331721 epoch: 10843 Epoch 10843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10843With loss 0.1267430099331721 epoch: 10844 Epoch 10844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10844With loss 0.1267430099331721 epoch: 10845 Epoch 10845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10845With loss 0.1267430099331721 epoch: 10846 Epoch 10846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10846With loss 0.1267430099331721 epoch: 10847 Epoch 10847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10847With loss 0.1267430099331721 epoch: 10848 Epoch 10848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10848With loss 0.1267430099331721 epoch: 10849 Epoch 10849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10849With loss 0.1267430099331721 epoch: 10850 Epoch 10850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10850With loss 0.1267430099331721 epoch: 10851 Epoch 10851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10851With loss 0.1267430099331721 epoch: 10852 Epoch 10852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10852With loss 0.1267430099331721 epoch: 10853 Epoch 10853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10853With loss 0.1267430099331721 epoch: 10854 Epoch 10854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10854With loss 0.1267430099331721 epoch: 10855 Epoch 10855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10855With loss 0.1267430099331721 epoch: 10856 Epoch 10856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10856With loss 0.1267430099331721 epoch: 10857 Epoch 10857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10857With loss 0.1267430099331721 epoch: 10858 Epoch 10858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10858With loss 0.1267430099331721 epoch: 10859 Epoch 10859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10859With loss 0.1267430099331721 epoch: 10860 Epoch 10860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10860With loss 0.1267430099331721 epoch: 10861 Epoch 10861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10861With loss 0.1267430099331721 epoch: 10862 Epoch 10862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10862With loss 0.1267430099331721 epoch: 10863 Epoch 10863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10863With loss 0.1267430099331721 epoch: 10864 Epoch 10864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10864With loss 0.1267430099331721 epoch: 10865 Epoch 10865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10865With loss 0.1267430099331721 epoch: 10866 Epoch 10866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10866With loss 0.1267430099331721 epoch: 10867 Epoch 10867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10867With loss 0.1267430099331721 epoch: 10868 Epoch 10868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10868With loss 0.1267430099331721 epoch: 10869 Epoch 10869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10869With loss 0.1267430099331721 epoch: 10870 Epoch 10870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10870With loss 0.1267430099331721 epoch: 10871 Epoch 10871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10871With loss 0.1267430099331721 epoch: 10872 Epoch 10872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10872With loss 0.1267430099331721 epoch: 10873 Epoch 10873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10873With loss 0.1267430099331721 epoch: 10874 Epoch 10874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10874With loss 0.1267430099331721 epoch: 10875 Epoch 10875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10875With loss 0.1267430099331721 epoch: 10876 Epoch 10876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10876With loss 0.1267430099331721 epoch: 10877 Epoch 10877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10877With loss 0.1267430099331721 epoch: 10878 Epoch 10878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10878With loss 0.1267430099331721 epoch: 10879 Epoch 10879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10879With loss 0.1267430099331721 epoch: 10880 Epoch 10880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10880With loss 0.1267430099331721 epoch: 10881 Epoch 10881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10881With loss 0.1267430099331721 epoch: 10882 Epoch 10882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10882With loss 0.1267430099331721 epoch: 10883 Epoch 10883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10883With loss 0.1267430099331721 epoch: 10884 Epoch 10884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10884With loss 0.1267430099331721 epoch: 10885 Epoch 10885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10885With loss 0.1267430099331721 epoch: 10886 Epoch 10886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10886With loss 0.1267430099331721 epoch: 10887 Epoch 10887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10887With loss 0.1267430099331721 epoch: 10888 Epoch 10888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10888With loss 0.1267430099331721 epoch: 10889 Epoch 10889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10889With loss 0.1267430099331721 epoch: 10890 Epoch 10890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10890With loss 0.1267430099331721 epoch: 10891 Epoch 10891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10891With loss 0.1267430099331721 epoch: 10892 Epoch 10892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10892With loss 0.1267430099331721 epoch: 10893 Epoch 10893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10893With loss 0.1267430099331721 epoch: 10894 Epoch 10894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10894With loss 0.1267430099331721 epoch: 10895 Epoch 10895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10895With loss 0.1267430099331721 epoch: 10896 Epoch 10896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10896With loss 0.1267430099331721 epoch: 10897 Epoch 10897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10897With loss 0.1267430099331721 epoch: 10898 Epoch 10898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10898With loss 0.1267430099331721 epoch: 10899 Epoch 10899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10899With loss 0.1267430099331721 epoch: 10900 Epoch 10900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10900With loss 0.1267430099331721 epoch: 10901 Epoch 10901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10901With loss 0.1267430099331721 epoch: 10902 Epoch 10902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10902With loss 0.1267430099331721 epoch: 10903 Epoch 10903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10903With loss 0.1267430099331721 epoch: 10904 Epoch 10904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10904With loss 0.1267430099331721 epoch: 10905 Epoch 10905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10905With loss 0.1267430099331721 epoch: 10906 Epoch 10906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10906With loss 0.1267430099331721 epoch: 10907 Epoch 10907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10907With loss 0.1267430099331721 epoch: 10908 Epoch 10908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10908With loss 0.1267430099331721 epoch: 10909 Epoch 10909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10909With loss 0.1267430099331721 epoch: 10910 Epoch 10910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10910With loss 0.1267430099331721 epoch: 10911 Epoch 10911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10911With loss 0.1267430099331721 epoch: 10912 Epoch 10912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10912With loss 0.1267430099331721 epoch: 10913 Epoch 10913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10913With loss 0.1267430099331721 epoch: 10914 Epoch 10914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10914With loss 0.1267430099331721 epoch: 10915 Epoch 10915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10915With loss 0.1267430099331721 epoch: 10916 Epoch 10916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10916With loss 0.1267430099331721 epoch: 10917 Epoch 10917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10917With loss 0.1267430099331721 epoch: 10918 Epoch 10918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10918With loss 0.1267430099331721 epoch: 10919 Epoch 10919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10919With loss 0.1267430099331721 epoch: 10920 Epoch 10920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10920With loss 0.1267430099331721 epoch: 10921 Epoch 10921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10921With loss 0.1267430099331721 epoch: 10922 Epoch 10922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10922With loss 0.1267430099331721 epoch: 10923 Epoch 10923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10923With loss 0.1267430099331721 epoch: 10924 Epoch 10924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10924With loss 0.1267430099331721 epoch: 10925 Epoch 10925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10925With loss 0.1267430099331721 epoch: 10926 Epoch 10926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10926With loss 0.1267430099331721 epoch: 10927 Epoch 10927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10927With loss 0.1267430099331721 epoch: 10928 Epoch 10928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10928With loss 0.1267430099331721 epoch: 10929 Epoch 10929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10929With loss 0.1267430099331721 epoch: 10930 Epoch 10930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10930With loss 0.1267430099331721 epoch: 10931 Epoch 10931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10931With loss 0.1267430099331721 epoch: 10932 Epoch 10932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10932With loss 0.1267430099331721 epoch: 10933 Epoch 10933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10933With loss 0.1267430099331721 epoch: 10934 Epoch 10934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10934With loss 0.1267430099331721 epoch: 10935 Epoch 10935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10935With loss 0.1267430099331721 epoch: 10936 Epoch 10936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10936With loss 0.1267430099331721 epoch: 10937 Epoch 10937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10937With loss 0.1267430099331721 epoch: 10938 Epoch 10938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10938With loss 0.1267430099331721 epoch: 10939 Epoch 10939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10939With loss 0.1267430099331721 epoch: 10940 Epoch 10940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10940With loss 0.1267430099331721 epoch: 10941 Epoch 10941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10941With loss 0.1267430099331721 epoch: 10942 Epoch 10942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10942With loss 0.1267430099331721 epoch: 10943 Epoch 10943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10943With loss 0.1267430099331721 epoch: 10944 Epoch 10944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10944With loss 0.1267430099331721 epoch: 10945 Epoch 10945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10945With loss 0.1267430099331721 epoch: 10946 Epoch 10946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10946With loss 0.1267430099331721 epoch: 10947 Epoch 10947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10947With loss 0.1267430099331721 epoch: 10948 Epoch 10948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10948With loss 0.1267430099331721 epoch: 10949 Epoch 10949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10949With loss 0.1267430099331721 epoch: 10950 Epoch 10950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10950With loss 0.1267430099331721 epoch: 10951 Epoch 10951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10951With loss 0.1267430099331721 epoch: 10952 Epoch 10952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10952With loss 0.1267430099331721 epoch: 10953 Epoch 10953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10953With loss 0.1267430099331721 epoch: 10954 Epoch 10954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10954With loss 0.1267430099331721 epoch: 10955 Epoch 10955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10955With loss 0.1267430099331721 epoch: 10956 Epoch 10956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10956With loss 0.1267430099331721 epoch: 10957 Epoch 10957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10957With loss 0.1267430099331721 epoch: 10958 Epoch 10958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10958With loss 0.1267430099331721 epoch: 10959 Epoch 10959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10959With loss 0.1267430099331721 epoch: 10960 Epoch 10960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10960With loss 0.1267430099331721 epoch: 10961 Epoch 10961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10961With loss 0.1267430099331721 epoch: 10962 Epoch 10962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10962With loss 0.1267430099331721 epoch: 10963 Epoch 10963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10963With loss 0.1267430099331721 epoch: 10964 Epoch 10964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10964With loss 0.1267430099331721 epoch: 10965 Epoch 10965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10965With loss 0.1267430099331721 epoch: 10966 Epoch 10966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10966With loss 0.1267430099331721 epoch: 10967 Epoch 10967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10967With loss 0.1267430099331721 epoch: 10968 Epoch 10968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10968With loss 0.1267430099331721 epoch: 10969 Epoch 10969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10969With loss 0.1267430099331721 epoch: 10970 Epoch 10970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10970With loss 0.1267430099331721 epoch: 10971 Epoch 10971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10971With loss 0.1267430099331721 epoch: 10972 Epoch 10972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10972With loss 0.1267430099331721 epoch: 10973 Epoch 10973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10973With loss 0.1267430099331721 epoch: 10974 Epoch 10974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10974With loss 0.1267430099331721 epoch: 10975 Epoch 10975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10975With loss 0.1267430099331721 epoch: 10976 Epoch 10976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10976With loss 0.1267430099331721 epoch: 10977 Epoch 10977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10977With loss 0.1267430099331721 epoch: 10978 Epoch 10978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10978With loss 0.1267430099331721 epoch: 10979 Epoch 10979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10979With loss 0.1267430099331721 epoch: 10980 Epoch 10980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10980With loss 0.1267430099331721 epoch: 10981 Epoch 10981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10981With loss 0.1267430099331721 epoch: 10982 Epoch 10982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10982With loss 0.1267430099331721 epoch: 10983 Epoch 10983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10983With loss 0.1267430099331721 epoch: 10984 Epoch 10984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10984With loss 0.1267430099331721 epoch: 10985 Epoch 10985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10985With loss 0.1267430099331721 epoch: 10986 Epoch 10986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10986With loss 0.1267430099331721 epoch: 10987 Epoch 10987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10987With loss 0.1267430099331721 epoch: 10988 Epoch 10988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10988With loss 0.1267430099331721 epoch: 10989 Epoch 10989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10989With loss 0.1267430099331721 epoch: 10990 Epoch 10990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10990With loss 0.1267430099331721 epoch: 10991 Epoch 10991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10991With loss 0.1267430099331721 epoch: 10992 Epoch 10992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10992With loss 0.1267430099331721 epoch: 10993 Epoch 10993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10993With loss 0.1267430099331721 epoch: 10994 Epoch 10994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10994With loss 0.1267430099331721 epoch: 10995 Epoch 10995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10995With loss 0.1267430099331721 epoch: 10996 Epoch 10996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10996With loss 0.1267430099331721 epoch: 10997 Epoch 10997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10997With loss 0.1267430099331721 epoch: 10998 Epoch 10998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10998With loss 0.1267430099331721 epoch: 10999 Epoch 10999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 10999With loss 0.1267430099331721 epoch: 11000 Epoch 11000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11000With loss 0.1267430099331721 epoch: 11001 Epoch 11001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11001With loss 0.1267430099331721 epoch: 11002 Epoch 11002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11002With loss 0.1267430099331721 epoch: 11003 Epoch 11003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11003With loss 0.1267430099331721 epoch: 11004 Epoch 11004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11004With loss 0.1267430099331721 epoch: 11005 Epoch 11005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11005With loss 0.1267430099331721 epoch: 11006 Epoch 11006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11006With loss 0.1267430099331721 epoch: 11007 Epoch 11007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11007With loss 0.1267430099331721 epoch: 11008 Epoch 11008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11008With loss 0.1267430099331721 epoch: 11009 Epoch 11009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11009With loss 0.1267430099331721 epoch: 11010 Epoch 11010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11010With loss 0.1267430099331721 epoch: 11011 Epoch 11011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11011With loss 0.1267430099331721 epoch: 11012 Epoch 11012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11012With loss 0.1267430099331721 epoch: 11013 Epoch 11013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11013With loss 0.1267430099331721 epoch: 11014 Epoch 11014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11014With loss 0.1267430099331721 epoch: 11015 Epoch 11015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11015With loss 0.1267430099331721 epoch: 11016 Epoch 11016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11016With loss 0.1267430099331721 epoch: 11017 Epoch 11017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11017With loss 0.1267430099331721 epoch: 11018 Epoch 11018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11018With loss 0.1267430099331721 epoch: 11019 Epoch 11019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11019With loss 0.1267430099331721 epoch: 11020 Epoch 11020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11020With loss 0.1267430099331721 epoch: 11021 Epoch 11021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11021With loss 0.1267430099331721 epoch: 11022 Epoch 11022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11022With loss 0.1267430099331721 epoch: 11023 Epoch 11023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11023With loss 0.1267430099331721 epoch: 11024 Epoch 11024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11024With loss 0.1267430099331721 epoch: 11025 Epoch 11025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11025With loss 0.1267430099331721 epoch: 11026 Epoch 11026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11026With loss 0.1267430099331721 epoch: 11027 Epoch 11027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11027With loss 0.1267430099331721 epoch: 11028 Epoch 11028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11028With loss 0.1267430099331721 epoch: 11029 Epoch 11029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11029With loss 0.1267430099331721 epoch: 11030 Epoch 11030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11030With loss 0.1267430099331721 epoch: 11031 Epoch 11031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11031With loss 0.1267430099331721 epoch: 11032 Epoch 11032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11032With loss 0.1267430099331721 epoch: 11033 Epoch 11033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11033With loss 0.1267430099331721 epoch: 11034 Epoch 11034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11034With loss 0.1267430099331721 epoch: 11035 Epoch 11035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11035With loss 0.1267430099331721 epoch: 11036 Epoch 11036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11036With loss 0.1267430099331721 epoch: 11037 Epoch 11037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11037With loss 0.1267430099331721 epoch: 11038 Epoch 11038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11038With loss 0.1267430099331721 epoch: 11039 Epoch 11039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11039With loss 0.1267430099331721 epoch: 11040 Epoch 11040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11040With loss 0.1267430099331721 epoch: 11041 Epoch 11041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11041With loss 0.1267430099331721 epoch: 11042 Epoch 11042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11042With loss 0.1267430099331721 epoch: 11043 Epoch 11043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11043With loss 0.1267430099331721 epoch: 11044 Epoch 11044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11044With loss 0.1267430099331721 epoch: 11045 Epoch 11045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11045With loss 0.1267430099331721 epoch: 11046 Epoch 11046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11046With loss 0.1267430099331721 epoch: 11047 Epoch 11047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11047With loss 0.1267430099331721 epoch: 11048 Epoch 11048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11048With loss 0.1267430099331721 epoch: 11049 Epoch 11049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11049With loss 0.1267430099331721 epoch: 11050 Epoch 11050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11050With loss 0.1267430099331721 epoch: 11051 Epoch 11051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11051With loss 0.1267430099331721 epoch: 11052 Epoch 11052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11052With loss 0.1267430099331721 epoch: 11053 Epoch 11053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11053With loss 0.1267430099331721 epoch: 11054 Epoch 11054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11054With loss 0.1267430099331721 epoch: 11055 Epoch 11055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11055With loss 0.1267430099331721 epoch: 11056 Epoch 11056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11056With loss 0.1267430099331721 epoch: 11057 Epoch 11057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11057With loss 0.1267430099331721 epoch: 11058 Epoch 11058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11058With loss 0.1267430099331721 epoch: 11059 Epoch 11059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11059With loss 0.1267430099331721 epoch: 11060 Epoch 11060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11060With loss 0.1267430099331721 epoch: 11061 Epoch 11061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11061With loss 0.1267430099331721 epoch: 11062 Epoch 11062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11062With loss 0.1267430099331721 epoch: 11063 Epoch 11063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11063With loss 0.1267430099331721 epoch: 11064 Epoch 11064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11064With loss 0.1267430099331721 epoch: 11065 Epoch 11065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11065With loss 0.1267430099331721 epoch: 11066 Epoch 11066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11066With loss 0.1267430099331721 epoch: 11067 Epoch 11067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11067With loss 0.1267430099331721 epoch: 11068 Epoch 11068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11068With loss 0.1267430099331721 epoch: 11069 Epoch 11069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11069With loss 0.1267430099331721 epoch: 11070 Epoch 11070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11070With loss 0.1267430099331721 epoch: 11071 Epoch 11071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11071With loss 0.1267430099331721 epoch: 11072 Epoch 11072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11072With loss 0.1267430099331721 epoch: 11073 Epoch 11073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11073With loss 0.1267430099331721 epoch: 11074 Epoch 11074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11074With loss 0.1267430099331721 epoch: 11075 Epoch 11075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11075With loss 0.1267430099331721 epoch: 11076 Epoch 11076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11076With loss 0.1267430099331721 epoch: 11077 Epoch 11077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11077With loss 0.1267430099331721 epoch: 11078 Epoch 11078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11078With loss 0.1267430099331721 epoch: 11079 Epoch 11079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11079With loss 0.1267430099331721 epoch: 11080 Epoch 11080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11080With loss 0.1267430099331721 epoch: 11081 Epoch 11081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11081With loss 0.1267430099331721 epoch: 11082 Epoch 11082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11082With loss 0.1267430099331721 epoch: 11083 Epoch 11083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11083With loss 0.1267430099331721 epoch: 11084 Epoch 11084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11084With loss 0.1267430099331721 epoch: 11085 Epoch 11085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11085With loss 0.1267430099331721 epoch: 11086 Epoch 11086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11086With loss 0.1267430099331721 epoch: 11087 Epoch 11087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11087With loss 0.1267430099331721 epoch: 11088 Epoch 11088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11088With loss 0.1267430099331721 epoch: 11089 Epoch 11089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11089With loss 0.1267430099331721 epoch: 11090 Epoch 11090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11090With loss 0.1267430099331721 epoch: 11091 Epoch 11091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11091With loss 0.1267430099331721 epoch: 11092 Epoch 11092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11092With loss 0.1267430099331721 epoch: 11093 Epoch 11093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11093With loss 0.1267430099331721 epoch: 11094 Epoch 11094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11094With loss 0.1267430099331721 epoch: 11095 Epoch 11095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11095With loss 0.1267430099331721 epoch: 11096 Epoch 11096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11096With loss 0.1267430099331721 epoch: 11097 Epoch 11097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11097With loss 0.1267430099331721 epoch: 11098 Epoch 11098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11098With loss 0.1267430099331721 epoch: 11099 Epoch 11099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11099With loss 0.1267430099331721 epoch: 11100 Epoch 11100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11100With loss 0.1267430099331721 epoch: 11101 Epoch 11101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11101With loss 0.1267430099331721 epoch: 11102 Epoch 11102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11102With loss 0.1267430099331721 epoch: 11103 Epoch 11103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11103With loss 0.1267430099331721 epoch: 11104 Epoch 11104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11104With loss 0.1267430099331721 epoch: 11105 Epoch 11105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11105With loss 0.1267430099331721 epoch: 11106 Epoch 11106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11106With loss 0.1267430099331721 epoch: 11107 Epoch 11107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11107With loss 0.1267430099331721 epoch: 11108 Epoch 11108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11108With loss 0.1267430099331721 epoch: 11109 Epoch 11109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11109With loss 0.1267430099331721 epoch: 11110 Epoch 11110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11110With loss 0.1267430099331721 epoch: 11111 Epoch 11111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11111With loss 0.1267430099331721 epoch: 11112 Epoch 11112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11112With loss 0.1267430099331721 epoch: 11113 Epoch 11113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11113With loss 0.1267430099331721 epoch: 11114 Epoch 11114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11114With loss 0.1267430099331721 epoch: 11115 Epoch 11115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11115With loss 0.1267430099331721 epoch: 11116 Epoch 11116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11116With loss 0.1267430099331721 epoch: 11117 Epoch 11117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11117With loss 0.1267430099331721 epoch: 11118 Epoch 11118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11118With loss 0.1267430099331721 epoch: 11119 Epoch 11119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11119With loss 0.1267430099331721 epoch: 11120 Epoch 11120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11120With loss 0.1267430099331721 epoch: 11121 Epoch 11121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11121With loss 0.1267430099331721 epoch: 11122 Epoch 11122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11122With loss 0.1267430099331721 epoch: 11123 Epoch 11123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11123With loss 0.1267430099331721 epoch: 11124 Epoch 11124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11124With loss 0.1267430099331721 epoch: 11125 Epoch 11125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11125With loss 0.1267430099331721 epoch: 11126 Epoch 11126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11126With loss 0.1267430099331721 epoch: 11127 Epoch 11127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11127With loss 0.1267430099331721 epoch: 11128 Epoch 11128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11128With loss 0.1267430099331721 epoch: 11129 Epoch 11129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11129With loss 0.1267430099331721 epoch: 11130 Epoch 11130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11130With loss 0.1267430099331721 epoch: 11131 Epoch 11131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11131With loss 0.1267430099331721 epoch: 11132 Epoch 11132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11132With loss 0.1267430099331721 epoch: 11133 Epoch 11133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11133With loss 0.1267430099331721 epoch: 11134 Epoch 11134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11134With loss 0.1267430099331721 epoch: 11135 Epoch 11135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11135With loss 0.1267430099331721 epoch: 11136 Epoch 11136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11136With loss 0.1267430099331721 epoch: 11137 Epoch 11137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11137With loss 0.1267430099331721 epoch: 11138 Epoch 11138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11138With loss 0.1267430099331721 epoch: 11139 Epoch 11139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11139With loss 0.1267430099331721 epoch: 11140 Epoch 11140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11140With loss 0.1267430099331721 epoch: 11141 Epoch 11141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11141With loss 0.1267430099331721 epoch: 11142 Epoch 11142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11142With loss 0.1267430099331721 epoch: 11143 Epoch 11143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11143With loss 0.1267430099331721 epoch: 11144 Epoch 11144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11144With loss 0.1267430099331721 epoch: 11145 Epoch 11145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11145With loss 0.1267430099331721 epoch: 11146 Epoch 11146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11146With loss 0.1267430099331721 epoch: 11147 Epoch 11147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11147With loss 0.1267430099331721 epoch: 11148 Epoch 11148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11148With loss 0.1267430099331721 epoch: 11149 Epoch 11149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11149With loss 0.1267430099331721 epoch: 11150 Epoch 11150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11150With loss 0.1267430099331721 epoch: 11151 Epoch 11151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11151With loss 0.1267430099331721 epoch: 11152 Epoch 11152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11152With loss 0.1267430099331721 epoch: 11153 Epoch 11153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11153With loss 0.1267430099331721 epoch: 11154 Epoch 11154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11154With loss 0.1267430099331721 epoch: 11155 Epoch 11155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11155With loss 0.1267430099331721 epoch: 11156 Epoch 11156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11156With loss 0.1267430099331721 epoch: 11157 Epoch 11157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11157With loss 0.1267430099331721 epoch: 11158 Epoch 11158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11158With loss 0.1267430099331721 epoch: 11159 Epoch 11159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11159With loss 0.1267430099331721 epoch: 11160 Epoch 11160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11160With loss 0.1267430099331721 epoch: 11161 Epoch 11161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11161With loss 0.1267430099331721 epoch: 11162 Epoch 11162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11162With loss 0.1267430099331721 epoch: 11163 Epoch 11163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11163With loss 0.1267430099331721 epoch: 11164 Epoch 11164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11164With loss 0.1267430099331721 epoch: 11165 Epoch 11165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11165With loss 0.1267430099331721 epoch: 11166 Epoch 11166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11166With loss 0.1267430099331721 epoch: 11167 Epoch 11167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11167With loss 0.1267430099331721 epoch: 11168 Epoch 11168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11168With loss 0.1267430099331721 epoch: 11169 Epoch 11169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11169With loss 0.1267430099331721 epoch: 11170 Epoch 11170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11170With loss 0.1267430099331721 epoch: 11171 Epoch 11171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11171With loss 0.1267430099331721 epoch: 11172 Epoch 11172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11172With loss 0.1267430099331721 epoch: 11173 Epoch 11173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11173With loss 0.1267430099331721 epoch: 11174 Epoch 11174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11174With loss 0.1267430099331721 epoch: 11175 Epoch 11175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11175With loss 0.1267430099331721 epoch: 11176 Epoch 11176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11176With loss 0.1267430099331721 epoch: 11177 Epoch 11177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11177With loss 0.1267430099331721 epoch: 11178 Epoch 11178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11178With loss 0.1267430099331721 epoch: 11179 Epoch 11179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11179With loss 0.1267430099331721 epoch: 11180 Epoch 11180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11180With loss 0.1267430099331721 epoch: 11181 Epoch 11181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11181With loss 0.1267430099331721 epoch: 11182 Epoch 11182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11182With loss 0.1267430099331721 epoch: 11183 Epoch 11183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11183With loss 0.1267430099331721 epoch: 11184 Epoch 11184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11184With loss 0.1267430099331721 epoch: 11185 Epoch 11185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11185With loss 0.1267430099331721 epoch: 11186 Epoch 11186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11186With loss 0.1267430099331721 epoch: 11187 Epoch 11187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11187With loss 0.1267430099331721 epoch: 11188 Epoch 11188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11188With loss 0.1267430099331721 epoch: 11189 Epoch 11189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11189With loss 0.1267430099331721 epoch: 11190 Epoch 11190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11190With loss 0.1267430099331721 epoch: 11191 Epoch 11191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11191With loss 0.1267430099331721 epoch: 11192 Epoch 11192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11192With loss 0.1267430099331721 epoch: 11193 Epoch 11193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11193With loss 0.1267430099331721 epoch: 11194 Epoch 11194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11194With loss 0.1267430099331721 epoch: 11195 Epoch 11195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11195With loss 0.1267430099331721 epoch: 11196 Epoch 11196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11196With loss 0.1267430099331721 epoch: 11197 Epoch 11197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11197With loss 0.1267430099331721 epoch: 11198 Epoch 11198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11198With loss 0.1267430099331721 epoch: 11199 Epoch 11199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11199With loss 0.1267430099331721 epoch: 11200 Epoch 11200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11200With loss 0.1267430099331721 epoch: 11201 Epoch 11201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11201With loss 0.1267430099331721 epoch: 11202 Epoch 11202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11202With loss 0.1267430099331721 epoch: 11203 Epoch 11203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11203With loss 0.1267430099331721 epoch: 11204 Epoch 11204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11204With loss 0.1267430099331721 epoch: 11205 Epoch 11205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11205With loss 0.1267430099331721 epoch: 11206 Epoch 11206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11206With loss 0.1267430099331721 epoch: 11207 Epoch 11207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11207With loss 0.1267430099331721 epoch: 11208 Epoch 11208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11208With loss 0.1267430099331721 epoch: 11209 Epoch 11209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11209With loss 0.1267430099331721 epoch: 11210 Epoch 11210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11210With loss 0.1267430099331721 epoch: 11211 Epoch 11211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11211With loss 0.1267430099331721 epoch: 11212 Epoch 11212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11212With loss 0.1267430099331721 epoch: 11213 Epoch 11213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11213With loss 0.1267430099331721 epoch: 11214 Epoch 11214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11214With loss 0.1267430099331721 epoch: 11215 Epoch 11215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11215With loss 0.1267430099331721 epoch: 11216 Epoch 11216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11216With loss 0.1267430099331721 epoch: 11217 Epoch 11217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11217With loss 0.1267430099331721 epoch: 11218 Epoch 11218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11218With loss 0.1267430099331721 epoch: 11219 Epoch 11219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11219With loss 0.1267430099331721 epoch: 11220 Epoch 11220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11220With loss 0.1267430099331721 epoch: 11221 Epoch 11221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11221With loss 0.1267430099331721 epoch: 11222 Epoch 11222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11222With loss 0.1267430099331721 epoch: 11223 Epoch 11223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11223With loss 0.1267430099331721 epoch: 11224 Epoch 11224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11224With loss 0.1267430099331721 epoch: 11225 Epoch 11225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11225With loss 0.1267430099331721 epoch: 11226 Epoch 11226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11226With loss 0.1267430099331721 epoch: 11227 Epoch 11227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11227With loss 0.1267430099331721 epoch: 11228 Epoch 11228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11228With loss 0.1267430099331721 epoch: 11229 Epoch 11229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11229With loss 0.1267430099331721 epoch: 11230 Epoch 11230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11230With loss 0.1267430099331721 epoch: 11231 Epoch 11231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11231With loss 0.1267430099331721 epoch: 11232 Epoch 11232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11232With loss 0.1267430099331721 epoch: 11233 Epoch 11233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11233With loss 0.1267430099331721 epoch: 11234 Epoch 11234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11234With loss 0.1267430099331721 epoch: 11235 Epoch 11235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11235With loss 0.1267430099331721 epoch: 11236 Epoch 11236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11236With loss 0.1267430099331721 epoch: 11237 Epoch 11237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11237With loss 0.1267430099331721 epoch: 11238 Epoch 11238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11238With loss 0.1267430099331721 epoch: 11239 Epoch 11239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11239With loss 0.1267430099331721 epoch: 11240 Epoch 11240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11240With loss 0.1267430099331721 epoch: 11241 Epoch 11241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11241With loss 0.1267430099331721 epoch: 11242 Epoch 11242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11242With loss 0.1267430099331721 epoch: 11243 Epoch 11243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11243With loss 0.1267430099331721 epoch: 11244 Epoch 11244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11244With loss 0.1267430099331721 epoch: 11245 Epoch 11245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11245With loss 0.1267430099331721 epoch: 11246 Epoch 11246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11246With loss 0.1267430099331721 epoch: 11247 Epoch 11247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11247With loss 0.1267430099331721 epoch: 11248 Epoch 11248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11248With loss 0.1267430099331721 epoch: 11249 Epoch 11249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11249With loss 0.1267430099331721 epoch: 11250 Epoch 11250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11250With loss 0.1267430099331721 epoch: 11251 Epoch 11251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11251With loss 0.1267430099331721 epoch: 11252 Epoch 11252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11252With loss 0.1267430099331721 epoch: 11253 Epoch 11253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11253With loss 0.1267430099331721 epoch: 11254 Epoch 11254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11254With loss 0.1267430099331721 epoch: 11255 Epoch 11255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11255With loss 0.1267430099331721 epoch: 11256 Epoch 11256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11256With loss 0.1267430099331721 epoch: 11257 Epoch 11257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11257With loss 0.1267430099331721 epoch: 11258 Epoch 11258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11258With loss 0.1267430099331721 epoch: 11259 Epoch 11259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11259With loss 0.1267430099331721 epoch: 11260 Epoch 11260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11260With loss 0.1267430099331721 epoch: 11261 Epoch 11261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11261With loss 0.1267430099331721 epoch: 11262 Epoch 11262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11262With loss 0.1267430099331721 epoch: 11263 Epoch 11263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11263With loss 0.1267430099331721 epoch: 11264 Epoch 11264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11264With loss 0.1267430099331721 epoch: 11265 Epoch 11265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11265With loss 0.1267430099331721 epoch: 11266 Epoch 11266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11266With loss 0.1267430099331721 epoch: 11267 Epoch 11267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11267With loss 0.1267430099331721 epoch: 11268 Epoch 11268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11268With loss 0.1267430099331721 epoch: 11269 Epoch 11269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11269With loss 0.1267430099331721 epoch: 11270 Epoch 11270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11270With loss 0.1267430099331721 epoch: 11271 Epoch 11271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11271With loss 0.1267430099331721 epoch: 11272 Epoch 11272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11272With loss 0.1267430099331721 epoch: 11273 Epoch 11273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11273With loss 0.1267430099331721 epoch: 11274 Epoch 11274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11274With loss 0.1267430099331721 epoch: 11275 Epoch 11275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11275With loss 0.1267430099331721 epoch: 11276 Epoch 11276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11276With loss 0.1267430099331721 epoch: 11277 Epoch 11277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11277With loss 0.1267430099331721 epoch: 11278 Epoch 11278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11278With loss 0.1267430099331721 epoch: 11279 Epoch 11279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11279With loss 0.1267430099331721 epoch: 11280 Epoch 11280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11280With loss 0.1267430099331721 epoch: 11281 Epoch 11281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11281With loss 0.1267430099331721 epoch: 11282 Epoch 11282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11282With loss 0.1267430099331721 epoch: 11283 Epoch 11283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11283With loss 0.1267430099331721 epoch: 11284 Epoch 11284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11284With loss 0.1267430099331721 epoch: 11285 Epoch 11285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11285With loss 0.1267430099331721 epoch: 11286 Epoch 11286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11286With loss 0.1267430099331721 epoch: 11287 Epoch 11287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11287With loss 0.1267430099331721 epoch: 11288 Epoch 11288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11288With loss 0.1267430099331721 epoch: 11289 Epoch 11289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11289With loss 0.1267430099331721 epoch: 11290 Epoch 11290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11290With loss 0.1267430099331721 epoch: 11291 Epoch 11291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11291With loss 0.1267430099331721 epoch: 11292 Epoch 11292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11292With loss 0.1267430099331721 epoch: 11293 Epoch 11293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11293With loss 0.1267430099331721 epoch: 11294 Epoch 11294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11294With loss 0.1267430099331721 epoch: 11295 Epoch 11295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11295With loss 0.1267430099331721 epoch: 11296 Epoch 11296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11296With loss 0.1267430099331721 epoch: 11297 Epoch 11297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11297With loss 0.1267430099331721 epoch: 11298 Epoch 11298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11298With loss 0.1267430099331721 epoch: 11299 Epoch 11299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11299With loss 0.1267430099331721 epoch: 11300 Epoch 11300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11300With loss 0.1267430099331721 epoch: 11301 Epoch 11301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11301With loss 0.1267430099331721 epoch: 11302 Epoch 11302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11302With loss 0.1267430099331721 epoch: 11303 Epoch 11303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11303With loss 0.1267430099331721 epoch: 11304 Epoch 11304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11304With loss 0.1267430099331721 epoch: 11305 Epoch 11305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11305With loss 0.1267430099331721 epoch: 11306 Epoch 11306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11306With loss 0.1267430099331721 epoch: 11307 Epoch 11307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11307With loss 0.1267430099331721 epoch: 11308 Epoch 11308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11308With loss 0.1267430099331721 epoch: 11309 Epoch 11309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11309With loss 0.1267430099331721 epoch: 11310 Epoch 11310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11310With loss 0.1267430099331721 epoch: 11311 Epoch 11311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11311With loss 0.1267430099331721 epoch: 11312 Epoch 11312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11312With loss 0.1267430099331721 epoch: 11313 Epoch 11313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11313With loss 0.1267430099331721 epoch: 11314 Epoch 11314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11314With loss 0.1267430099331721 epoch: 11315 Epoch 11315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11315With loss 0.1267430099331721 epoch: 11316 Epoch 11316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11316With loss 0.1267430099331721 epoch: 11317 Epoch 11317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11317With loss 0.1267430099331721 epoch: 11318 Epoch 11318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11318With loss 0.1267430099331721 epoch: 11319 Epoch 11319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11319With loss 0.1267430099331721 epoch: 11320 Epoch 11320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11320With loss 0.1267430099331721 epoch: 11321 Epoch 11321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11321With loss 0.1267430099331721 epoch: 11322 Epoch 11322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11322With loss 0.1267430099331721 epoch: 11323 Epoch 11323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11323With loss 0.1267430099331721 epoch: 11324 Epoch 11324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11324With loss 0.1267430099331721 epoch: 11325 Epoch 11325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11325With loss 0.1267430099331721 epoch: 11326 Epoch 11326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11326With loss 0.1267430099331721 epoch: 11327 Epoch 11327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11327With loss 0.1267430099331721 epoch: 11328 Epoch 11328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11328With loss 0.1267430099331721 epoch: 11329 Epoch 11329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11329With loss 0.1267430099331721 epoch: 11330 Epoch 11330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11330With loss 0.1267430099331721 epoch: 11331 Epoch 11331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11331With loss 0.1267430099331721 epoch: 11332 Epoch 11332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11332With loss 0.1267430099331721 epoch: 11333 Epoch 11333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11333With loss 0.1267430099331721 epoch: 11334 Epoch 11334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11334With loss 0.1267430099331721 epoch: 11335 Epoch 11335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11335With loss 0.1267430099331721 epoch: 11336 Epoch 11336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11336With loss 0.1267430099331721 epoch: 11337 Epoch 11337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11337With loss 0.1267430099331721 epoch: 11338 Epoch 11338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11338With loss 0.1267430099331721 epoch: 11339 Epoch 11339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11339With loss 0.1267430099331721 epoch: 11340 Epoch 11340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11340With loss 0.1267430099331721 epoch: 11341 Epoch 11341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11341With loss 0.1267430099331721 epoch: 11342 Epoch 11342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11342With loss 0.1267430099331721 epoch: 11343 Epoch 11343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11343With loss 0.1267430099331721 epoch: 11344 Epoch 11344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11344With loss 0.1267430099331721 epoch: 11345 Epoch 11345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11345With loss 0.1267430099331721 epoch: 11346 Epoch 11346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11346With loss 0.1267430099331721 epoch: 11347 Epoch 11347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11347With loss 0.1267430099331721 epoch: 11348 Epoch 11348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11348With loss 0.1267430099331721 epoch: 11349 Epoch 11349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11349With loss 0.1267430099331721 epoch: 11350 Epoch 11350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11350With loss 0.1267430099331721 epoch: 11351 Epoch 11351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11351With loss 0.1267430099331721 epoch: 11352 Epoch 11352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11352With loss 0.1267430099331721 epoch: 11353 Epoch 11353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11353With loss 0.1267430099331721 epoch: 11354 Epoch 11354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11354With loss 0.1267430099331721 epoch: 11355 Epoch 11355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11355With loss 0.1267430099331721 epoch: 11356 Epoch 11356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11356With loss 0.1267430099331721 epoch: 11357 Epoch 11357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11357With loss 0.1267430099331721 epoch: 11358 Epoch 11358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11358With loss 0.1267430099331721 epoch: 11359 Epoch 11359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11359With loss 0.1267430099331721 epoch: 11360 Epoch 11360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11360With loss 0.1267430099331721 epoch: 11361 Epoch 11361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11361With loss 0.1267430099331721 epoch: 11362 Epoch 11362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11362With loss 0.1267430099331721 epoch: 11363 Epoch 11363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11363With loss 0.1267430099331721 epoch: 11364 Epoch 11364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11364With loss 0.1267430099331721 epoch: 11365 Epoch 11365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11365With loss 0.1267430099331721 epoch: 11366 Epoch 11366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11366With loss 0.1267430099331721 epoch: 11367 Epoch 11367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11367With loss 0.1267430099331721 epoch: 11368 Epoch 11368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11368With loss 0.1267430099331721 epoch: 11369 Epoch 11369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11369With loss 0.1267430099331721 epoch: 11370 Epoch 11370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11370With loss 0.1267430099331721 epoch: 11371 Epoch 11371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11371With loss 0.1267430099331721 epoch: 11372 Epoch 11372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11372With loss 0.1267430099331721 epoch: 11373 Epoch 11373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11373With loss 0.1267430099331721 epoch: 11374 Epoch 11374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11374With loss 0.1267430099331721 epoch: 11375 Epoch 11375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11375With loss 0.1267430099331721 epoch: 11376 Epoch 11376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11376With loss 0.1267430099331721 epoch: 11377 Epoch 11377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11377With loss 0.1267430099331721 epoch: 11378 Epoch 11378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11378With loss 0.1267430099331721 epoch: 11379 Epoch 11379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11379With loss 0.1267430099331721 epoch: 11380 Epoch 11380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11380With loss 0.1267430099331721 epoch: 11381 Epoch 11381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11381With loss 0.1267430099331721 epoch: 11382 Epoch 11382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11382With loss 0.1267430099331721 epoch: 11383 Epoch 11383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11383With loss 0.1267430099331721 epoch: 11384 Epoch 11384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11384With loss 0.1267430099331721 epoch: 11385 Epoch 11385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11385With loss 0.1267430099331721 epoch: 11386 Epoch 11386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11386With loss 0.1267430099331721 epoch: 11387 Epoch 11387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11387With loss 0.1267430099331721 epoch: 11388 Epoch 11388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11388With loss 0.1267430099331721 epoch: 11389 Epoch 11389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11389With loss 0.1267430099331721 epoch: 11390 Epoch 11390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11390With loss 0.1267430099331721 epoch: 11391 Epoch 11391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11391With loss 0.1267430099331721 epoch: 11392 Epoch 11392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11392With loss 0.1267430099331721 epoch: 11393 Epoch 11393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11393With loss 0.1267430099331721 epoch: 11394 Epoch 11394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11394With loss 0.1267430099331721 epoch: 11395 Epoch 11395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11395With loss 0.1267430099331721 epoch: 11396 Epoch 11396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11396With loss 0.1267430099331721 epoch: 11397 Epoch 11397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11397With loss 0.1267430099331721 epoch: 11398 Epoch 11398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11398With loss 0.1267430099331721 epoch: 11399 Epoch 11399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11399With loss 0.1267430099331721 epoch: 11400 Epoch 11400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11400With loss 0.1267430099331721 epoch: 11401 Epoch 11401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11401With loss 0.1267430099331721 epoch: 11402 Epoch 11402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11402With loss 0.1267430099331721 epoch: 11403 Epoch 11403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11403With loss 0.1267430099331721 epoch: 11404 Epoch 11404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11404With loss 0.1267430099331721 epoch: 11405 Epoch 11405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11405With loss 0.1267430099331721 epoch: 11406 Epoch 11406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11406With loss 0.1267430099331721 epoch: 11407 Epoch 11407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11407With loss 0.1267430099331721 epoch: 11408 Epoch 11408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11408With loss 0.1267430099331721 epoch: 11409 Epoch 11409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11409With loss 0.1267430099331721 epoch: 11410 Epoch 11410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11410With loss 0.1267430099331721 epoch: 11411 Epoch 11411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11411With loss 0.1267430099331721 epoch: 11412 Epoch 11412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11412With loss 0.1267430099331721 epoch: 11413 Epoch 11413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11413With loss 0.1267430099331721 epoch: 11414 Epoch 11414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11414With loss 0.1267430099331721 epoch: 11415 Epoch 11415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11415With loss 0.1267430099331721 epoch: 11416 Epoch 11416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11416With loss 0.1267430099331721 epoch: 11417 Epoch 11417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11417With loss 0.1267430099331721 epoch: 11418 Epoch 11418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11418With loss 0.1267430099331721 epoch: 11419 Epoch 11419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11419With loss 0.1267430099331721 epoch: 11420 Epoch 11420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11420With loss 0.1267430099331721 epoch: 11421 Epoch 11421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11421With loss 0.1267430099331721 epoch: 11422 Epoch 11422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11422With loss 0.1267430099331721 epoch: 11423 Epoch 11423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11423With loss 0.1267430099331721 epoch: 11424 Epoch 11424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11424With loss 0.1267430099331721 epoch: 11425 Epoch 11425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11425With loss 0.1267430099331721 epoch: 11426 Epoch 11426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11426With loss 0.1267430099331721 epoch: 11427 Epoch 11427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11427With loss 0.1267430099331721 epoch: 11428 Epoch 11428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11428With loss 0.1267430099331721 epoch: 11429 Epoch 11429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11429With loss 0.1267430099331721 epoch: 11430 Epoch 11430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11430With loss 0.1267430099331721 epoch: 11431 Epoch 11431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11431With loss 0.1267430099331721 epoch: 11432 Epoch 11432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11432With loss 0.1267430099331721 epoch: 11433 Epoch 11433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11433With loss 0.1267430099331721 epoch: 11434 Epoch 11434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11434With loss 0.1267430099331721 epoch: 11435 Epoch 11435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11435With loss 0.1267430099331721 epoch: 11436 Epoch 11436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11436With loss 0.1267430099331721 epoch: 11437 Epoch 11437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11437With loss 0.1267430099331721 epoch: 11438 Epoch 11438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11438With loss 0.1267430099331721 epoch: 11439 Epoch 11439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11439With loss 0.1267430099331721 epoch: 11440 Epoch 11440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11440With loss 0.1267430099331721 epoch: 11441 Epoch 11441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11441With loss 0.1267430099331721 epoch: 11442 Epoch 11442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11442With loss 0.1267430099331721 epoch: 11443 Epoch 11443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11443With loss 0.1267430099331721 epoch: 11444 Epoch 11444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11444With loss 0.1267430099331721 epoch: 11445 Epoch 11445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11445With loss 0.1267430099331721 epoch: 11446 Epoch 11446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11446With loss 0.1267430099331721 epoch: 11447 Epoch 11447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11447With loss 0.1267430099331721 epoch: 11448 Epoch 11448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11448With loss 0.1267430099331721 epoch: 11449 Epoch 11449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11449With loss 0.1267430099331721 epoch: 11450 Epoch 11450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11450With loss 0.1267430099331721 epoch: 11451 Epoch 11451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11451With loss 0.1267430099331721 epoch: 11452 Epoch 11452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11452With loss 0.1267430099331721 epoch: 11453 Epoch 11453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11453With loss 0.1267430099331721 epoch: 11454 Epoch 11454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11454With loss 0.1267430099331721 epoch: 11455 Epoch 11455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11455With loss 0.1267430099331721 epoch: 11456 Epoch 11456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11456With loss 0.1267430099331721 epoch: 11457 Epoch 11457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11457With loss 0.1267430099331721 epoch: 11458 Epoch 11458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11458With loss 0.1267430099331721 epoch: 11459 Epoch 11459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11459With loss 0.1267430099331721 epoch: 11460 Epoch 11460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11460With loss 0.1267430099331721 epoch: 11461 Epoch 11461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11461With loss 0.1267430099331721 epoch: 11462 Epoch 11462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11462With loss 0.1267430099331721 epoch: 11463 Epoch 11463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11463With loss 0.1267430099331721 epoch: 11464 Epoch 11464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11464With loss 0.1267430099331721 epoch: 11465 Epoch 11465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11465With loss 0.1267430099331721 epoch: 11466 Epoch 11466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11466With loss 0.1267430099331721 epoch: 11467 Epoch 11467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11467With loss 0.1267430099331721 epoch: 11468 Epoch 11468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11468With loss 0.1267430099331721 epoch: 11469 Epoch 11469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11469With loss 0.1267430099331721 epoch: 11470 Epoch 11470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11470With loss 0.1267430099331721 epoch: 11471 Epoch 11471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11471With loss 0.1267430099331721 epoch: 11472 Epoch 11472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11472With loss 0.1267430099331721 epoch: 11473 Epoch 11473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11473With loss 0.1267430099331721 epoch: 11474 Epoch 11474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11474With loss 0.1267430099331721 epoch: 11475 Epoch 11475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11475With loss 0.1267430099331721 epoch: 11476 Epoch 11476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11476With loss 0.1267430099331721 epoch: 11477 Epoch 11477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11477With loss 0.1267430099331721 epoch: 11478 Epoch 11478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11478With loss 0.1267430099331721 epoch: 11479 Epoch 11479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11479With loss 0.1267430099331721 epoch: 11480 Epoch 11480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11480With loss 0.1267430099331721 epoch: 11481 Epoch 11481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11481With loss 0.1267430099331721 epoch: 11482 Epoch 11482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11482With loss 0.1267430099331721 epoch: 11483 Epoch 11483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11483With loss 0.1267430099331721 epoch: 11484 Epoch 11484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11484With loss 0.1267430099331721 epoch: 11485 Epoch 11485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11485With loss 0.1267430099331721 epoch: 11486 Epoch 11486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11486With loss 0.1267430099331721 epoch: 11487 Epoch 11487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11487With loss 0.1267430099331721 epoch: 11488 Epoch 11488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11488With loss 0.1267430099331721 epoch: 11489 Epoch 11489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11489With loss 0.1267430099331721 epoch: 11490 Epoch 11490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11490With loss 0.1267430099331721 epoch: 11491 Epoch 11491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11491With loss 0.1267430099331721 epoch: 11492 Epoch 11492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11492With loss 0.1267430099331721 epoch: 11493 Epoch 11493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11493With loss 0.1267430099331721 epoch: 11494 Epoch 11494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11494With loss 0.1267430099331721 epoch: 11495 Epoch 11495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11495With loss 0.1267430099331721 epoch: 11496 Epoch 11496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11496With loss 0.1267430099331721 epoch: 11497 Epoch 11497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11497With loss 0.1267430099331721 epoch: 11498 Epoch 11498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11498With loss 0.1267430099331721 epoch: 11499 Epoch 11499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11499With loss 0.1267430099331721 epoch: 11500 Epoch 11500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11500With loss 0.1267430099331721 epoch: 11501 Epoch 11501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11501With loss 0.1267430099331721 epoch: 11502 Epoch 11502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11502With loss 0.1267430099331721 epoch: 11503 Epoch 11503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11503With loss 0.1267430099331721 epoch: 11504 Epoch 11504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11504With loss 0.1267430099331721 epoch: 11505 Epoch 11505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11505With loss 0.1267430099331721 epoch: 11506 Epoch 11506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11506With loss 0.1267430099331721 epoch: 11507 Epoch 11507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11507With loss 0.1267430099331721 epoch: 11508 Epoch 11508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11508With loss 0.1267430099331721 epoch: 11509 Epoch 11509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11509With loss 0.1267430099331721 epoch: 11510 Epoch 11510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11510With loss 0.1267430099331721 epoch: 11511 Epoch 11511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11511With loss 0.1267430099331721 epoch: 11512 Epoch 11512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11512With loss 0.1267430099331721 epoch: 11513 Epoch 11513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11513With loss 0.1267430099331721 epoch: 11514 Epoch 11514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11514With loss 0.1267430099331721 epoch: 11515 Epoch 11515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11515With loss 0.1267430099331721 epoch: 11516 Epoch 11516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11516With loss 0.1267430099331721 epoch: 11517 Epoch 11517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11517With loss 0.1267430099331721 epoch: 11518 Epoch 11518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11518With loss 0.1267430099331721 epoch: 11519 Epoch 11519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11519With loss 0.1267430099331721 epoch: 11520 Epoch 11520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11520With loss 0.1267430099331721 epoch: 11521 Epoch 11521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11521With loss 0.1267430099331721 epoch: 11522 Epoch 11522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11522With loss 0.1267430099331721 epoch: 11523 Epoch 11523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11523With loss 0.1267430099331721 epoch: 11524 Epoch 11524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11524With loss 0.1267430099331721 epoch: 11525 Epoch 11525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11525With loss 0.1267430099331721 epoch: 11526 Epoch 11526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11526With loss 0.1267430099331721 epoch: 11527 Epoch 11527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11527With loss 0.1267430099331721 epoch: 11528 Epoch 11528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11528With loss 0.1267430099331721 epoch: 11529 Epoch 11529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11529With loss 0.1267430099331721 epoch: 11530 Epoch 11530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11530With loss 0.1267430099331721 epoch: 11531 Epoch 11531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11531With loss 0.1267430099331721 epoch: 11532 Epoch 11532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11532With loss 0.1267430099331721 epoch: 11533 Epoch 11533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11533With loss 0.1267430099331721 epoch: 11534 Epoch 11534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11534With loss 0.1267430099331721 epoch: 11535 Epoch 11535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11535With loss 0.1267430099331721 epoch: 11536 Epoch 11536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11536With loss 0.1267430099331721 epoch: 11537 Epoch 11537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11537With loss 0.1267430099331721 epoch: 11538 Epoch 11538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11538With loss 0.1267430099331721 epoch: 11539 Epoch 11539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11539With loss 0.1267430099331721 epoch: 11540 Epoch 11540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11540With loss 0.1267430099331721 epoch: 11541 Epoch 11541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11541With loss 0.1267430099331721 epoch: 11542 Epoch 11542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11542With loss 0.1267430099331721 epoch: 11543 Epoch 11543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11543With loss 0.1267430099331721 epoch: 11544 Epoch 11544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11544With loss 0.1267430099331721 epoch: 11545 Epoch 11545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11545With loss 0.1267430099331721 epoch: 11546 Epoch 11546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11546With loss 0.1267430099331721 epoch: 11547 Epoch 11547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11547With loss 0.1267430099331721 epoch: 11548 Epoch 11548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11548With loss 0.1267430099331721 epoch: 11549 Epoch 11549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11549With loss 0.1267430099331721 epoch: 11550 Epoch 11550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11550With loss 0.1267430099331721 epoch: 11551 Epoch 11551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11551With loss 0.1267430099331721 epoch: 11552 Epoch 11552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11552With loss 0.1267430099331721 epoch: 11553 Epoch 11553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11553With loss 0.1267430099331721 epoch: 11554 Epoch 11554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11554With loss 0.1267430099331721 epoch: 11555 Epoch 11555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11555With loss 0.1267430099331721 epoch: 11556 Epoch 11556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11556With loss 0.1267430099331721 epoch: 11557 Epoch 11557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11557With loss 0.1267430099331721 epoch: 11558 Epoch 11558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11558With loss 0.1267430099331721 epoch: 11559 Epoch 11559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11559With loss 0.1267430099331721 epoch: 11560 Epoch 11560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11560With loss 0.1267430099331721 epoch: 11561 Epoch 11561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11561With loss 0.1267430099331721 epoch: 11562 Epoch 11562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11562With loss 0.1267430099331721 epoch: 11563 Epoch 11563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11563With loss 0.1267430099331721 epoch: 11564 Epoch 11564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11564With loss 0.1267430099331721 epoch: 11565 Epoch 11565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11565With loss 0.1267430099331721 epoch: 11566 Epoch 11566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11566With loss 0.1267430099331721 epoch: 11567 Epoch 11567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11567With loss 0.1267430099331721 epoch: 11568 Epoch 11568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11568With loss 0.1267430099331721 epoch: 11569 Epoch 11569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11569With loss 0.1267430099331721 epoch: 11570 Epoch 11570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11570With loss 0.1267430099331721 epoch: 11571 Epoch 11571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11571With loss 0.1267430099331721 epoch: 11572 Epoch 11572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11572With loss 0.1267430099331721 epoch: 11573 Epoch 11573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11573With loss 0.1267430099331721 epoch: 11574 Epoch 11574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11574With loss 0.1267430099331721 epoch: 11575 Epoch 11575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11575With loss 0.1267430099331721 epoch: 11576 Epoch 11576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11576With loss 0.1267430099331721 epoch: 11577 Epoch 11577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11577With loss 0.1267430099331721 epoch: 11578 Epoch 11578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11578With loss 0.1267430099331721 epoch: 11579 Epoch 11579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11579With loss 0.1267430099331721 epoch: 11580 Epoch 11580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11580With loss 0.1267430099331721 epoch: 11581 Epoch 11581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11581With loss 0.1267430099331721 epoch: 11582 Epoch 11582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11582With loss 0.1267430099331721 epoch: 11583 Epoch 11583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11583With loss 0.1267430099331721 epoch: 11584 Epoch 11584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11584With loss 0.1267430099331721 epoch: 11585 Epoch 11585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11585With loss 0.1267430099331721 epoch: 11586 Epoch 11586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11586With loss 0.1267430099331721 epoch: 11587 Epoch 11587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11587With loss 0.1267430099331721 epoch: 11588 Epoch 11588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11588With loss 0.1267430099331721 epoch: 11589 Epoch 11589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11589With loss 0.1267430099331721 epoch: 11590 Epoch 11590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11590With loss 0.1267430099331721 epoch: 11591 Epoch 11591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11591With loss 0.1267430099331721 epoch: 11592 Epoch 11592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11592With loss 0.1267430099331721 epoch: 11593 Epoch 11593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11593With loss 0.1267430099331721 epoch: 11594 Epoch 11594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11594With loss 0.1267430099331721 epoch: 11595 Epoch 11595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11595With loss 0.1267430099331721 epoch: 11596 Epoch 11596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11596With loss 0.1267430099331721 epoch: 11597 Epoch 11597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11597With loss 0.1267430099331721 epoch: 11598 Epoch 11598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11598With loss 0.1267430099331721 epoch: 11599 Epoch 11599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11599With loss 0.1267430099331721 epoch: 11600 Epoch 11600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11600With loss 0.1267430099331721 epoch: 11601 Epoch 11601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11601With loss 0.1267430099331721 epoch: 11602 Epoch 11602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11602With loss 0.1267430099331721 epoch: 11603 Epoch 11603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11603With loss 0.1267430099331721 epoch: 11604 Epoch 11604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11604With loss 0.1267430099331721 epoch: 11605 Epoch 11605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11605With loss 0.1267430099331721 epoch: 11606 Epoch 11606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11606With loss 0.1267430099331721 epoch: 11607 Epoch 11607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11607With loss 0.1267430099331721 epoch: 11608 Epoch 11608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11608With loss 0.1267430099331721 epoch: 11609 Epoch 11609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11609With loss 0.1267430099331721 epoch: 11610 Epoch 11610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11610With loss 0.1267430099331721 epoch: 11611 Epoch 11611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11611With loss 0.1267430099331721 epoch: 11612 Epoch 11612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11612With loss 0.1267430099331721 epoch: 11613 Epoch 11613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11613With loss 0.1267430099331721 epoch: 11614 Epoch 11614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11614With loss 0.1267430099331721 epoch: 11615 Epoch 11615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11615With loss 0.1267430099331721 epoch: 11616 Epoch 11616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11616With loss 0.1267430099331721 epoch: 11617 Epoch 11617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11617With loss 0.1267430099331721 epoch: 11618 Epoch 11618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11618With loss 0.1267430099331721 epoch: 11619 Epoch 11619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11619With loss 0.1267430099331721 epoch: 11620 Epoch 11620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11620With loss 0.1267430099331721 epoch: 11621 Epoch 11621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11621With loss 0.1267430099331721 epoch: 11622 Epoch 11622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11622With loss 0.1267430099331721 epoch: 11623 Epoch 11623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11623With loss 0.1267430099331721 epoch: 11624 Epoch 11624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11624With loss 0.1267430099331721 epoch: 11625 Epoch 11625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11625With loss 0.1267430099331721 epoch: 11626 Epoch 11626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11626With loss 0.1267430099331721 epoch: 11627 Epoch 11627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11627With loss 0.1267430099331721 epoch: 11628 Epoch 11628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11628With loss 0.1267430099331721 epoch: 11629 Epoch 11629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11629With loss 0.1267430099331721 epoch: 11630 Epoch 11630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11630With loss 0.1267430099331721 epoch: 11631 Epoch 11631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11631With loss 0.1267430099331721 epoch: 11632 Epoch 11632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11632With loss 0.1267430099331721 epoch: 11633 Epoch 11633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11633With loss 0.1267430099331721 epoch: 11634 Epoch 11634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11634With loss 0.1267430099331721 epoch: 11635 Epoch 11635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11635With loss 0.1267430099331721 epoch: 11636 Epoch 11636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11636With loss 0.1267430099331721 epoch: 11637 Epoch 11637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11637With loss 0.1267430099331721 epoch: 11638 Epoch 11638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11638With loss 0.1267430099331721 epoch: 11639 Epoch 11639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11639With loss 0.1267430099331721 epoch: 11640 Epoch 11640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11640With loss 0.1267430099331721 epoch: 11641 Epoch 11641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11641With loss 0.1267430099331721 epoch: 11642 Epoch 11642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11642With loss 0.1267430099331721 epoch: 11643 Epoch 11643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11643With loss 0.1267430099331721 epoch: 11644 Epoch 11644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11644With loss 0.1267430099331721 epoch: 11645 Epoch 11645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11645With loss 0.1267430099331721 epoch: 11646 Epoch 11646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11646With loss 0.1267430099331721 epoch: 11647 Epoch 11647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11647With loss 0.1267430099331721 epoch: 11648 Epoch 11648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11648With loss 0.1267430099331721 epoch: 11649 Epoch 11649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11649With loss 0.1267430099331721 epoch: 11650 Epoch 11650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11650With loss 0.1267430099331721 epoch: 11651 Epoch 11651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11651With loss 0.1267430099331721 epoch: 11652 Epoch 11652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11652With loss 0.1267430099331721 epoch: 11653 Epoch 11653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11653With loss 0.1267430099331721 epoch: 11654 Epoch 11654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11654With loss 0.1267430099331721 epoch: 11655 Epoch 11655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11655With loss 0.1267430099331721 epoch: 11656 Epoch 11656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11656With loss 0.1267430099331721 epoch: 11657 Epoch 11657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11657With loss 0.1267430099331721 epoch: 11658 Epoch 11658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11658With loss 0.1267430099331721 epoch: 11659 Epoch 11659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11659With loss 0.1267430099331721 epoch: 11660 Epoch 11660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11660With loss 0.1267430099331721 epoch: 11661 Epoch 11661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11661With loss 0.1267430099331721 epoch: 11662 Epoch 11662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11662With loss 0.1267430099331721 epoch: 11663 Epoch 11663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11663With loss 0.1267430099331721 epoch: 11664 Epoch 11664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11664With loss 0.1267430099331721 epoch: 11665 Epoch 11665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11665With loss 0.1267430099331721 epoch: 11666 Epoch 11666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11666With loss 0.1267430099331721 epoch: 11667 Epoch 11667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11667With loss 0.1267430099331721 epoch: 11668 Epoch 11668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11668With loss 0.1267430099331721 epoch: 11669 Epoch 11669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11669With loss 0.1267430099331721 epoch: 11670 Epoch 11670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11670With loss 0.1267430099331721 epoch: 11671 Epoch 11671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11671With loss 0.1267430099331721 epoch: 11672 Epoch 11672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11672With loss 0.1267430099331721 epoch: 11673 Epoch 11673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11673With loss 0.1267430099331721 epoch: 11674 Epoch 11674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11674With loss 0.1267430099331721 epoch: 11675 Epoch 11675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11675With loss 0.1267430099331721 epoch: 11676 Epoch 11676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11676With loss 0.1267430099331721 epoch: 11677 Epoch 11677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11677With loss 0.1267430099331721 epoch: 11678 Epoch 11678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11678With loss 0.1267430099331721 epoch: 11679 Epoch 11679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11679With loss 0.1267430099331721 epoch: 11680 Epoch 11680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11680With loss 0.1267430099331721 epoch: 11681 Epoch 11681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11681With loss 0.1267430099331721 epoch: 11682 Epoch 11682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11682With loss 0.1267430099331721 epoch: 11683 Epoch 11683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11683With loss 0.1267430099331721 epoch: 11684 Epoch 11684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11684With loss 0.1267430099331721 epoch: 11685 Epoch 11685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11685With loss 0.1267430099331721 epoch: 11686 Epoch 11686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11686With loss 0.1267430099331721 epoch: 11687 Epoch 11687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11687With loss 0.1267430099331721 epoch: 11688 Epoch 11688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11688With loss 0.1267430099331721 epoch: 11689 Epoch 11689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11689With loss 0.1267430099331721 epoch: 11690 Epoch 11690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11690With loss 0.1267430099331721 epoch: 11691 Epoch 11691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11691With loss 0.1267430099331721 epoch: 11692 Epoch 11692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11692With loss 0.1267430099331721 epoch: 11693 Epoch 11693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11693With loss 0.1267430099331721 epoch: 11694 Epoch 11694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11694With loss 0.1267430099331721 epoch: 11695 Epoch 11695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11695With loss 0.1267430099331721 epoch: 11696 Epoch 11696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11696With loss 0.1267430099331721 epoch: 11697 Epoch 11697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11697With loss 0.1267430099331721 epoch: 11698 Epoch 11698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11698With loss 0.1267430099331721 epoch: 11699 Epoch 11699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11699With loss 0.1267430099331721 epoch: 11700 Epoch 11700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11700With loss 0.1267430099331721 epoch: 11701 Epoch 11701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11701With loss 0.1267430099331721 epoch: 11702 Epoch 11702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11702With loss 0.1267430099331721 epoch: 11703 Epoch 11703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11703With loss 0.1267430099331721 epoch: 11704 Epoch 11704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11704With loss 0.1267430099331721 epoch: 11705 Epoch 11705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11705With loss 0.1267430099331721 epoch: 11706 Epoch 11706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11706With loss 0.1267430099331721 epoch: 11707 Epoch 11707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11707With loss 0.1267430099331721 epoch: 11708 Epoch 11708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11708With loss 0.1267430099331721 epoch: 11709 Epoch 11709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11709With loss 0.1267430099331721 epoch: 11710 Epoch 11710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11710With loss 0.1267430099331721 epoch: 11711 Epoch 11711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11711With loss 0.1267430099331721 epoch: 11712 Epoch 11712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11712With loss 0.1267430099331721 epoch: 11713 Epoch 11713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11713With loss 0.1267430099331721 epoch: 11714 Epoch 11714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11714With loss 0.1267430099331721 epoch: 11715 Epoch 11715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11715With loss 0.1267430099331721 epoch: 11716 Epoch 11716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11716With loss 0.1267430099331721 epoch: 11717 Epoch 11717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11717With loss 0.1267430099331721 epoch: 11718 Epoch 11718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11718With loss 0.1267430099331721 epoch: 11719 Epoch 11719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11719With loss 0.1267430099331721 epoch: 11720 Epoch 11720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11720With loss 0.1267430099331721 epoch: 11721 Epoch 11721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11721With loss 0.1267430099331721 epoch: 11722 Epoch 11722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11722With loss 0.1267430099331721 epoch: 11723 Epoch 11723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11723With loss 0.1267430099331721 epoch: 11724 Epoch 11724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11724With loss 0.1267430099331721 epoch: 11725 Epoch 11725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11725With loss 0.1267430099331721 epoch: 11726 Epoch 11726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11726With loss 0.1267430099331721 epoch: 11727 Epoch 11727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11727With loss 0.1267430099331721 epoch: 11728 Epoch 11728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11728With loss 0.1267430099331721 epoch: 11729 Epoch 11729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11729With loss 0.1267430099331721 epoch: 11730 Epoch 11730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11730With loss 0.1267430099331721 epoch: 11731 Epoch 11731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11731With loss 0.1267430099331721 epoch: 11732 Epoch 11732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11732With loss 0.1267430099331721 epoch: 11733 Epoch 11733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11733With loss 0.1267430099331721 epoch: 11734 Epoch 11734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11734With loss 0.1267430099331721 epoch: 11735 Epoch 11735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11735With loss 0.1267430099331721 epoch: 11736 Epoch 11736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11736With loss 0.1267430099331721 epoch: 11737 Epoch 11737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11737With loss 0.1267430099331721 epoch: 11738 Epoch 11738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11738With loss 0.1267430099331721 epoch: 11739 Epoch 11739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11739With loss 0.1267430099331721 epoch: 11740 Epoch 11740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11740With loss 0.1267430099331721 epoch: 11741 Epoch 11741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11741With loss 0.1267430099331721 epoch: 11742 Epoch 11742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11742With loss 0.1267430099331721 epoch: 11743 Epoch 11743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11743With loss 0.1267430099331721 epoch: 11744 Epoch 11744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11744With loss 0.1267430099331721 epoch: 11745 Epoch 11745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11745With loss 0.1267430099331721 epoch: 11746 Epoch 11746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11746With loss 0.1267430099331721 epoch: 11747 Epoch 11747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11747With loss 0.1267430099331721 epoch: 11748 Epoch 11748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11748With loss 0.1267430099331721 epoch: 11749 Epoch 11749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11749With loss 0.1267430099331721 epoch: 11750 Epoch 11750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11750With loss 0.1267430099331721 epoch: 11751 Epoch 11751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11751With loss 0.1267430099331721 epoch: 11752 Epoch 11752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11752With loss 0.1267430099331721 epoch: 11753 Epoch 11753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11753With loss 0.1267430099331721 epoch: 11754 Epoch 11754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11754With loss 0.1267430099331721 epoch: 11755 Epoch 11755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11755With loss 0.1267430099331721 epoch: 11756 Epoch 11756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11756With loss 0.1267430099331721 epoch: 11757 Epoch 11757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11757With loss 0.1267430099331721 epoch: 11758 Epoch 11758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11758With loss 0.1267430099331721 epoch: 11759 Epoch 11759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11759With loss 0.1267430099331721 epoch: 11760 Epoch 11760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11760With loss 0.1267430099331721 epoch: 11761 Epoch 11761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11761With loss 0.1267430099331721 epoch: 11762 Epoch 11762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11762With loss 0.1267430099331721 epoch: 11763 Epoch 11763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11763With loss 0.1267430099331721 epoch: 11764 Epoch 11764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11764With loss 0.1267430099331721 epoch: 11765 Epoch 11765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11765With loss 0.1267430099331721 epoch: 11766 Epoch 11766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11766With loss 0.1267430099331721 epoch: 11767 Epoch 11767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11767With loss 0.1267430099331721 epoch: 11768 Epoch 11768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11768With loss 0.1267430099331721 epoch: 11769 Epoch 11769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11769With loss 0.1267430099331721 epoch: 11770 Epoch 11770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11770With loss 0.1267430099331721 epoch: 11771 Epoch 11771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11771With loss 0.1267430099331721 epoch: 11772 Epoch 11772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11772With loss 0.1267430099331721 epoch: 11773 Epoch 11773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11773With loss 0.1267430099331721 epoch: 11774 Epoch 11774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11774With loss 0.1267430099331721 epoch: 11775 Epoch 11775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11775With loss 0.1267430099331721 epoch: 11776 Epoch 11776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11776With loss 0.1267430099331721 epoch: 11777 Epoch 11777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11777With loss 0.1267430099331721 epoch: 11778 Epoch 11778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11778With loss 0.1267430099331721 epoch: 11779 Epoch 11779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11779With loss 0.1267430099331721 epoch: 11780 Epoch 11780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11780With loss 0.1267430099331721 epoch: 11781 Epoch 11781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11781With loss 0.1267430099331721 epoch: 11782 Epoch 11782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11782With loss 0.1267430099331721 epoch: 11783 Epoch 11783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11783With loss 0.1267430099331721 epoch: 11784 Epoch 11784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11784With loss 0.1267430099331721 epoch: 11785 Epoch 11785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11785With loss 0.1267430099331721 epoch: 11786 Epoch 11786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11786With loss 0.1267430099331721 epoch: 11787 Epoch 11787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11787With loss 0.1267430099331721 epoch: 11788 Epoch 11788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11788With loss 0.1267430099331721 epoch: 11789 Epoch 11789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11789With loss 0.1267430099331721 epoch: 11790 Epoch 11790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11790With loss 0.1267430099331721 epoch: 11791 Epoch 11791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11791With loss 0.1267430099331721 epoch: 11792 Epoch 11792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11792With loss 0.1267430099331721 epoch: 11793 Epoch 11793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11793With loss 0.1267430099331721 epoch: 11794 Epoch 11794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11794With loss 0.1267430099331721 epoch: 11795 Epoch 11795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11795With loss 0.1267430099331721 epoch: 11796 Epoch 11796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11796With loss 0.1267430099331721 epoch: 11797 Epoch 11797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11797With loss 0.1267430099331721 epoch: 11798 Epoch 11798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11798With loss 0.1267430099331721 epoch: 11799 Epoch 11799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11799With loss 0.1267430099331721 epoch: 11800 Epoch 11800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11800With loss 0.1267430099331721 epoch: 11801 Epoch 11801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11801With loss 0.1267430099331721 epoch: 11802 Epoch 11802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11802With loss 0.1267430099331721 epoch: 11803 Epoch 11803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11803With loss 0.1267430099331721 epoch: 11804 Epoch 11804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11804With loss 0.1267430099331721 epoch: 11805 Epoch 11805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11805With loss 0.1267430099331721 epoch: 11806 Epoch 11806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11806With loss 0.1267430099331721 epoch: 11807 Epoch 11807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11807With loss 0.1267430099331721 epoch: 11808 Epoch 11808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11808With loss 0.1267430099331721 epoch: 11809 Epoch 11809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11809With loss 0.1267430099331721 epoch: 11810 Epoch 11810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11810With loss 0.1267430099331721 epoch: 11811 Epoch 11811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11811With loss 0.1267430099331721 epoch: 11812 Epoch 11812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11812With loss 0.1267430099331721 epoch: 11813 Epoch 11813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11813With loss 0.1267430099331721 epoch: 11814 Epoch 11814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11814With loss 0.1267430099331721 epoch: 11815 Epoch 11815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11815With loss 0.1267430099331721 epoch: 11816 Epoch 11816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11816With loss 0.1267430099331721 epoch: 11817 Epoch 11817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11817With loss 0.1267430099331721 epoch: 11818 Epoch 11818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11818With loss 0.1267430099331721 epoch: 11819 Epoch 11819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11819With loss 0.1267430099331721 epoch: 11820 Epoch 11820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11820With loss 0.1267430099331721 epoch: 11821 Epoch 11821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11821With loss 0.1267430099331721 epoch: 11822 Epoch 11822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11822With loss 0.1267430099331721 epoch: 11823 Epoch 11823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11823With loss 0.1267430099331721 epoch: 11824 Epoch 11824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11824With loss 0.1267430099331721 epoch: 11825 Epoch 11825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11825With loss 0.1267430099331721 epoch: 11826 Epoch 11826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11826With loss 0.1267430099331721 epoch: 11827 Epoch 11827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11827With loss 0.1267430099331721 epoch: 11828 Epoch 11828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11828With loss 0.1267430099331721 epoch: 11829 Epoch 11829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11829With loss 0.1267430099331721 epoch: 11830 Epoch 11830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11830With loss 0.1267430099331721 epoch: 11831 Epoch 11831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11831With loss 0.1267430099331721 epoch: 11832 Epoch 11832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11832With loss 0.1267430099331721 epoch: 11833 Epoch 11833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11833With loss 0.1267430099331721 epoch: 11834 Epoch 11834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11834With loss 0.1267430099331721 epoch: 11835 Epoch 11835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11835With loss 0.1267430099331721 epoch: 11836 Epoch 11836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11836With loss 0.1267430099331721 epoch: 11837 Epoch 11837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11837With loss 0.1267430099331721 epoch: 11838 Epoch 11838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11838With loss 0.1267430099331721 epoch: 11839 Epoch 11839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11839With loss 0.1267430099331721 epoch: 11840 Epoch 11840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11840With loss 0.1267430099331721 epoch: 11841 Epoch 11841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11841With loss 0.1267430099331721 epoch: 11842 Epoch 11842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11842With loss 0.1267430099331721 epoch: 11843 Epoch 11843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11843With loss 0.1267430099331721 epoch: 11844 Epoch 11844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11844With loss 0.1267430099331721 epoch: 11845 Epoch 11845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11845With loss 0.1267430099331721 epoch: 11846 Epoch 11846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11846With loss 0.1267430099331721 epoch: 11847 Epoch 11847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11847With loss 0.1267430099331721 epoch: 11848 Epoch 11848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11848With loss 0.1267430099331721 epoch: 11849 Epoch 11849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11849With loss 0.1267430099331721 epoch: 11850 Epoch 11850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11850With loss 0.1267430099331721 epoch: 11851 Epoch 11851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11851With loss 0.1267430099331721 epoch: 11852 Epoch 11852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11852With loss 0.1267430099331721 epoch: 11853 Epoch 11853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11853With loss 0.1267430099331721 epoch: 11854 Epoch 11854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11854With loss 0.1267430099331721 epoch: 11855 Epoch 11855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11855With loss 0.1267430099331721 epoch: 11856 Epoch 11856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11856With loss 0.1267430099331721 epoch: 11857 Epoch 11857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11857With loss 0.1267430099331721 epoch: 11858 Epoch 11858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11858With loss 0.1267430099331721 epoch: 11859 Epoch 11859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11859With loss 0.1267430099331721 epoch: 11860 Epoch 11860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11860With loss 0.1267430099331721 epoch: 11861 Epoch 11861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11861With loss 0.1267430099331721 epoch: 11862 Epoch 11862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11862With loss 0.1267430099331721 epoch: 11863 Epoch 11863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11863With loss 0.1267430099331721 epoch: 11864 Epoch 11864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11864With loss 0.1267430099331721 epoch: 11865 Epoch 11865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11865With loss 0.1267430099331721 epoch: 11866 Epoch 11866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11866With loss 0.1267430099331721 epoch: 11867 Epoch 11867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11867With loss 0.1267430099331721 epoch: 11868 Epoch 11868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11868With loss 0.1267430099331721 epoch: 11869 Epoch 11869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11869With loss 0.1267430099331721 epoch: 11870 Epoch 11870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11870With loss 0.1267430099331721 epoch: 11871 Epoch 11871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11871With loss 0.1267430099331721 epoch: 11872 Epoch 11872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11872With loss 0.1267430099331721 epoch: 11873 Epoch 11873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11873With loss 0.1267430099331721 epoch: 11874 Epoch 11874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11874With loss 0.1267430099331721 epoch: 11875 Epoch 11875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11875With loss 0.1267430099331721 epoch: 11876 Epoch 11876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11876With loss 0.1267430099331721 epoch: 11877 Epoch 11877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11877With loss 0.1267430099331721 epoch: 11878 Epoch 11878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11878With loss 0.1267430099331721 epoch: 11879 Epoch 11879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11879With loss 0.1267430099331721 epoch: 11880 Epoch 11880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11880With loss 0.1267430099331721 epoch: 11881 Epoch 11881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11881With loss 0.1267430099331721 epoch: 11882 Epoch 11882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11882With loss 0.1267430099331721 epoch: 11883 Epoch 11883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11883With loss 0.1267430099331721 epoch: 11884 Epoch 11884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11884With loss 0.1267430099331721 epoch: 11885 Epoch 11885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11885With loss 0.1267430099331721 epoch: 11886 Epoch 11886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11886With loss 0.1267430099331721 epoch: 11887 Epoch 11887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11887With loss 0.1267430099331721 epoch: 11888 Epoch 11888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11888With loss 0.1267430099331721 epoch: 11889 Epoch 11889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11889With loss 0.1267430099331721 epoch: 11890 Epoch 11890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11890With loss 0.1267430099331721 epoch: 11891 Epoch 11891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11891With loss 0.1267430099331721 epoch: 11892 Epoch 11892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11892With loss 0.1267430099331721 epoch: 11893 Epoch 11893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11893With loss 0.1267430099331721 epoch: 11894 Epoch 11894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11894With loss 0.1267430099331721 epoch: 11895 Epoch 11895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11895With loss 0.1267430099331721 epoch: 11896 Epoch 11896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11896With loss 0.1267430099331721 epoch: 11897 Epoch 11897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11897With loss 0.1267430099331721 epoch: 11898 Epoch 11898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11898With loss 0.1267430099331721 epoch: 11899 Epoch 11899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11899With loss 0.1267430099331721 epoch: 11900 Epoch 11900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11900With loss 0.1267430099331721 epoch: 11901 Epoch 11901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11901With loss 0.1267430099331721 epoch: 11902 Epoch 11902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11902With loss 0.1267430099331721 epoch: 11903 Epoch 11903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11903With loss 0.1267430099331721 epoch: 11904 Epoch 11904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11904With loss 0.1267430099331721 epoch: 11905 Epoch 11905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11905With loss 0.1267430099331721 epoch: 11906 Epoch 11906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11906With loss 0.1267430099331721 epoch: 11907 Epoch 11907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11907With loss 0.1267430099331721 epoch: 11908 Epoch 11908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11908With loss 0.1267430099331721 epoch: 11909 Epoch 11909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11909With loss 0.1267430099331721 epoch: 11910 Epoch 11910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11910With loss 0.1267430099331721 epoch: 11911 Epoch 11911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11911With loss 0.1267430099331721 epoch: 11912 Epoch 11912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11912With loss 0.1267430099331721 epoch: 11913 Epoch 11913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11913With loss 0.1267430099331721 epoch: 11914 Epoch 11914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11914With loss 0.1267430099331721 epoch: 11915 Epoch 11915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11915With loss 0.1267430099331721 epoch: 11916 Epoch 11916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11916With loss 0.1267430099331721 epoch: 11917 Epoch 11917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11917With loss 0.1267430099331721 epoch: 11918 Epoch 11918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11918With loss 0.1267430099331721 epoch: 11919 Epoch 11919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11919With loss 0.1267430099331721 epoch: 11920 Epoch 11920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11920With loss 0.1267430099331721 epoch: 11921 Epoch 11921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11921With loss 0.1267430099331721 epoch: 11922 Epoch 11922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11922With loss 0.1267430099331721 epoch: 11923 Epoch 11923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11923With loss 0.1267430099331721 epoch: 11924 Epoch 11924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11924With loss 0.1267430099331721 epoch: 11925 Epoch 11925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11925With loss 0.1267430099331721 epoch: 11926 Epoch 11926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11926With loss 0.1267430099331721 epoch: 11927 Epoch 11927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11927With loss 0.1267430099331721 epoch: 11928 Epoch 11928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11928With loss 0.1267430099331721 epoch: 11929 Epoch 11929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11929With loss 0.1267430099331721 epoch: 11930 Epoch 11930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11930With loss 0.1267430099331721 epoch: 11931 Epoch 11931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11931With loss 0.1267430099331721 epoch: 11932 Epoch 11932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11932With loss 0.1267430099331721 epoch: 11933 Epoch 11933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11933With loss 0.1267430099331721 epoch: 11934 Epoch 11934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11934With loss 0.1267430099331721 epoch: 11935 Epoch 11935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11935With loss 0.1267430099331721 epoch: 11936 Epoch 11936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11936With loss 0.1267430099331721 epoch: 11937 Epoch 11937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11937With loss 0.1267430099331721 epoch: 11938 Epoch 11938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11938With loss 0.1267430099331721 epoch: 11939 Epoch 11939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11939With loss 0.1267430099331721 epoch: 11940 Epoch 11940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11940With loss 0.1267430099331721 epoch: 11941 Epoch 11941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11941With loss 0.1267430099331721 epoch: 11942 Epoch 11942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11942With loss 0.1267430099331721 epoch: 11943 Epoch 11943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11943With loss 0.1267430099331721 epoch: 11944 Epoch 11944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11944With loss 0.1267430099331721 epoch: 11945 Epoch 11945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11945With loss 0.1267430099331721 epoch: 11946 Epoch 11946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11946With loss 0.1267430099331721 epoch: 11947 Epoch 11947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11947With loss 0.1267430099331721 epoch: 11948 Epoch 11948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11948With loss 0.1267430099331721 epoch: 11949 Epoch 11949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11949With loss 0.1267430099331721 epoch: 11950 Epoch 11950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11950With loss 0.1267430099331721 epoch: 11951 Epoch 11951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11951With loss 0.1267430099331721 epoch: 11952 Epoch 11952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11952With loss 0.1267430099331721 epoch: 11953 Epoch 11953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11953With loss 0.1267430099331721 epoch: 11954 Epoch 11954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11954With loss 0.1267430099331721 epoch: 11955 Epoch 11955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11955With loss 0.1267430099331721 epoch: 11956 Epoch 11956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11956With loss 0.1267430099331721 epoch: 11957 Epoch 11957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11957With loss 0.1267430099331721 epoch: 11958 Epoch 11958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11958With loss 0.1267430099331721 epoch: 11959 Epoch 11959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11959With loss 0.1267430099331721 epoch: 11960 Epoch 11960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11960With loss 0.1267430099331721 epoch: 11961 Epoch 11961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11961With loss 0.1267430099331721 epoch: 11962 Epoch 11962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11962With loss 0.1267430099331721 epoch: 11963 Epoch 11963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11963With loss 0.1267430099331721 epoch: 11964 Epoch 11964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11964With loss 0.1267430099331721 epoch: 11965 Epoch 11965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11965With loss 0.1267430099331721 epoch: 11966 Epoch 11966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11966With loss 0.1267430099331721 epoch: 11967 Epoch 11967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11967With loss 0.1267430099331721 epoch: 11968 Epoch 11968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11968With loss 0.1267430099331721 epoch: 11969 Epoch 11969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11969With loss 0.1267430099331721 epoch: 11970 Epoch 11970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11970With loss 0.1267430099331721 epoch: 11971 Epoch 11971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11971With loss 0.1267430099331721 epoch: 11972 Epoch 11972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11972With loss 0.1267430099331721 epoch: 11973 Epoch 11973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11973With loss 0.1267430099331721 epoch: 11974 Epoch 11974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11974With loss 0.1267430099331721 epoch: 11975 Epoch 11975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11975With loss 0.1267430099331721 epoch: 11976 Epoch 11976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11976With loss 0.1267430099331721 epoch: 11977 Epoch 11977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11977With loss 0.1267430099331721 epoch: 11978 Epoch 11978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11978With loss 0.1267430099331721 epoch: 11979 Epoch 11979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11979With loss 0.1267430099331721 epoch: 11980 Epoch 11980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11980With loss 0.1267430099331721 epoch: 11981 Epoch 11981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11981With loss 0.1267430099331721 epoch: 11982 Epoch 11982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11982With loss 0.1267430099331721 epoch: 11983 Epoch 11983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11983With loss 0.1267430099331721 epoch: 11984 Epoch 11984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11984With loss 0.1267430099331721 epoch: 11985 Epoch 11985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11985With loss 0.1267430099331721 epoch: 11986 Epoch 11986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11986With loss 0.1267430099331721 epoch: 11987 Epoch 11987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11987With loss 0.1267430099331721 epoch: 11988 Epoch 11988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11988With loss 0.1267430099331721 epoch: 11989 Epoch 11989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11989With loss 0.1267430099331721 epoch: 11990 Epoch 11990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11990With loss 0.1267430099331721 epoch: 11991 Epoch 11991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11991With loss 0.1267430099331721 epoch: 11992 Epoch 11992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11992With loss 0.1267430099331721 epoch: 11993 Epoch 11993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11993With loss 0.1267430099331721 epoch: 11994 Epoch 11994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11994With loss 0.1267430099331721 epoch: 11995 Epoch 11995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11995With loss 0.1267430099331721 epoch: 11996 Epoch 11996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11996With loss 0.1267430099331721 epoch: 11997 Epoch 11997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11997With loss 0.1267430099331721 epoch: 11998 Epoch 11998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11998With loss 0.1267430099331721 epoch: 11999 Epoch 11999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 11999With loss 0.1267430099331721 epoch: 12000 Epoch 12000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12000With loss 0.1267430099331721 epoch: 12001 Epoch 12001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12001With loss 0.1267430099331721 epoch: 12002 Epoch 12002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12002With loss 0.1267430099331721 epoch: 12003 Epoch 12003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12003With loss 0.1267430099331721 epoch: 12004 Epoch 12004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12004With loss 0.1267430099331721 epoch: 12005 Epoch 12005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12005With loss 0.1267430099331721 epoch: 12006 Epoch 12006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12006With loss 0.1267430099331721 epoch: 12007 Epoch 12007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12007With loss 0.1267430099331721 epoch: 12008 Epoch 12008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12008With loss 0.1267430099331721 epoch: 12009 Epoch 12009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12009With loss 0.1267430099331721 epoch: 12010 Epoch 12010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12010With loss 0.1267430099331721 epoch: 12011 Epoch 12011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12011With loss 0.1267430099331721 epoch: 12012 Epoch 12012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12012With loss 0.1267430099331721 epoch: 12013 Epoch 12013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12013With loss 0.1267430099331721 epoch: 12014 Epoch 12014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12014With loss 0.1267430099331721 epoch: 12015 Epoch 12015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12015With loss 0.1267430099331721 epoch: 12016 Epoch 12016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12016With loss 0.1267430099331721 epoch: 12017 Epoch 12017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12017With loss 0.1267430099331721 epoch: 12018 Epoch 12018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12018With loss 0.1267430099331721 epoch: 12019 Epoch 12019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12019With loss 0.1267430099331721 epoch: 12020 Epoch 12020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12020With loss 0.1267430099331721 epoch: 12021 Epoch 12021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12021With loss 0.1267430099331721 epoch: 12022 Epoch 12022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12022With loss 0.1267430099331721 epoch: 12023 Epoch 12023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12023With loss 0.1267430099331721 epoch: 12024 Epoch 12024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12024With loss 0.1267430099331721 epoch: 12025 Epoch 12025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12025With loss 0.1267430099331721 epoch: 12026 Epoch 12026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12026With loss 0.1267430099331721 epoch: 12027 Epoch 12027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12027With loss 0.1267430099331721 epoch: 12028 Epoch 12028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12028With loss 0.1267430099331721 epoch: 12029 Epoch 12029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12029With loss 0.1267430099331721 epoch: 12030 Epoch 12030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12030With loss 0.1267430099331721 epoch: 12031 Epoch 12031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12031With loss 0.1267430099331721 epoch: 12032 Epoch 12032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12032With loss 0.1267430099331721 epoch: 12033 Epoch 12033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12033With loss 0.1267430099331721 epoch: 12034 Epoch 12034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12034With loss 0.1267430099331721 epoch: 12035 Epoch 12035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12035With loss 0.1267430099331721 epoch: 12036 Epoch 12036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12036With loss 0.1267430099331721 epoch: 12037 Epoch 12037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12037With loss 0.1267430099331721 epoch: 12038 Epoch 12038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12038With loss 0.1267430099331721 epoch: 12039 Epoch 12039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12039With loss 0.1267430099331721 epoch: 12040 Epoch 12040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12040With loss 0.1267430099331721 epoch: 12041 Epoch 12041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12041With loss 0.1267430099331721 epoch: 12042 Epoch 12042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12042With loss 0.1267430099331721 epoch: 12043 Epoch 12043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12043With loss 0.1267430099331721 epoch: 12044 Epoch 12044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12044With loss 0.1267430099331721 epoch: 12045 Epoch 12045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12045With loss 0.1267430099331721 epoch: 12046 Epoch 12046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12046With loss 0.1267430099331721 epoch: 12047 Epoch 12047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12047With loss 0.1267430099331721 epoch: 12048 Epoch 12048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12048With loss 0.1267430099331721 epoch: 12049 Epoch 12049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12049With loss 0.1267430099331721 epoch: 12050 Epoch 12050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12050With loss 0.1267430099331721 epoch: 12051 Epoch 12051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12051With loss 0.1267430099331721 epoch: 12052 Epoch 12052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12052With loss 0.1267430099331721 epoch: 12053 Epoch 12053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12053With loss 0.1267430099331721 epoch: 12054 Epoch 12054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12054With loss 0.1267430099331721 epoch: 12055 Epoch 12055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12055With loss 0.1267430099331721 epoch: 12056 Epoch 12056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12056With loss 0.1267430099331721 epoch: 12057 Epoch 12057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12057With loss 0.1267430099331721 epoch: 12058 Epoch 12058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12058With loss 0.1267430099331721 epoch: 12059 Epoch 12059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12059With loss 0.1267430099331721 epoch: 12060 Epoch 12060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12060With loss 0.1267430099331721 epoch: 12061 Epoch 12061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12061With loss 0.1267430099331721 epoch: 12062 Epoch 12062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12062With loss 0.1267430099331721 epoch: 12063 Epoch 12063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12063With loss 0.1267430099331721 epoch: 12064 Epoch 12064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12064With loss 0.1267430099331721 epoch: 12065 Epoch 12065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12065With loss 0.1267430099331721 epoch: 12066 Epoch 12066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12066With loss 0.1267430099331721 epoch: 12067 Epoch 12067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12067With loss 0.1267430099331721 epoch: 12068 Epoch 12068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12068With loss 0.1267430099331721 epoch: 12069 Epoch 12069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12069With loss 0.1267430099331721 epoch: 12070 Epoch 12070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12070With loss 0.1267430099331721 epoch: 12071 Epoch 12071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12071With loss 0.1267430099331721 epoch: 12072 Epoch 12072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12072With loss 0.1267430099331721 epoch: 12073 Epoch 12073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12073With loss 0.1267430099331721 epoch: 12074 Epoch 12074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12074With loss 0.1267430099331721 epoch: 12075 Epoch 12075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12075With loss 0.1267430099331721 epoch: 12076 Epoch 12076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12076With loss 0.1267430099331721 epoch: 12077 Epoch 12077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12077With loss 0.1267430099331721 epoch: 12078 Epoch 12078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12078With loss 0.1267430099331721 epoch: 12079 Epoch 12079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12079With loss 0.1267430099331721 epoch: 12080 Epoch 12080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12080With loss 0.1267430099331721 epoch: 12081 Epoch 12081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12081With loss 0.1267430099331721 epoch: 12082 Epoch 12082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12082With loss 0.1267430099331721 epoch: 12083 Epoch 12083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12083With loss 0.1267430099331721 epoch: 12084 Epoch 12084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12084With loss 0.1267430099331721 epoch: 12085 Epoch 12085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12085With loss 0.1267430099331721 epoch: 12086 Epoch 12086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12086With loss 0.1267430099331721 epoch: 12087 Epoch 12087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12087With loss 0.1267430099331721 epoch: 12088 Epoch 12088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12088With loss 0.1267430099331721 epoch: 12089 Epoch 12089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12089With loss 0.1267430099331721 epoch: 12090 Epoch 12090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12090With loss 0.1267430099331721 epoch: 12091 Epoch 12091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12091With loss 0.1267430099331721 epoch: 12092 Epoch 12092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12092With loss 0.1267430099331721 epoch: 12093 Epoch 12093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12093With loss 0.1267430099331721 epoch: 12094 Epoch 12094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12094With loss 0.1267430099331721 epoch: 12095 Epoch 12095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12095With loss 0.1267430099331721 epoch: 12096 Epoch 12096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12096With loss 0.1267430099331721 epoch: 12097 Epoch 12097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12097With loss 0.1267430099331721 epoch: 12098 Epoch 12098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12098With loss 0.1267430099331721 epoch: 12099 Epoch 12099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12099With loss 0.1267430099331721 epoch: 12100 Epoch 12100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12100With loss 0.1267430099331721 epoch: 12101 Epoch 12101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12101With loss 0.1267430099331721 epoch: 12102 Epoch 12102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12102With loss 0.1267430099331721 epoch: 12103 Epoch 12103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12103With loss 0.1267430099331721 epoch: 12104 Epoch 12104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12104With loss 0.1267430099331721 epoch: 12105 Epoch 12105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12105With loss 0.1267430099331721 epoch: 12106 Epoch 12106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12106With loss 0.1267430099331721 epoch: 12107 Epoch 12107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12107With loss 0.1267430099331721 epoch: 12108 Epoch 12108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12108With loss 0.1267430099331721 epoch: 12109 Epoch 12109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12109With loss 0.1267430099331721 epoch: 12110 Epoch 12110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12110With loss 0.1267430099331721 epoch: 12111 Epoch 12111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12111With loss 0.1267430099331721 epoch: 12112 Epoch 12112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12112With loss 0.1267430099331721 epoch: 12113 Epoch 12113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12113With loss 0.1267430099331721 epoch: 12114 Epoch 12114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12114With loss 0.1267430099331721 epoch: 12115 Epoch 12115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12115With loss 0.1267430099331721 epoch: 12116 Epoch 12116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12116With loss 0.1267430099331721 epoch: 12117 Epoch 12117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12117With loss 0.1267430099331721 epoch: 12118 Epoch 12118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12118With loss 0.1267430099331721 epoch: 12119 Epoch 12119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12119With loss 0.1267430099331721 epoch: 12120 Epoch 12120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12120With loss 0.1267430099331721 epoch: 12121 Epoch 12121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12121With loss 0.1267430099331721 epoch: 12122 Epoch 12122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12122With loss 0.1267430099331721 epoch: 12123 Epoch 12123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12123With loss 0.1267430099331721 epoch: 12124 Epoch 12124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12124With loss 0.1267430099331721 epoch: 12125 Epoch 12125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12125With loss 0.1267430099331721 epoch: 12126 Epoch 12126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12126With loss 0.1267430099331721 epoch: 12127 Epoch 12127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12127With loss 0.1267430099331721 epoch: 12128 Epoch 12128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12128With loss 0.1267430099331721 epoch: 12129 Epoch 12129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12129With loss 0.1267430099331721 epoch: 12130 Epoch 12130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12130With loss 0.1267430099331721 epoch: 12131 Epoch 12131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12131With loss 0.1267430099331721 epoch: 12132 Epoch 12132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12132With loss 0.1267430099331721 epoch: 12133 Epoch 12133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12133With loss 0.1267430099331721 epoch: 12134 Epoch 12134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12134With loss 0.1267430099331721 epoch: 12135 Epoch 12135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12135With loss 0.1267430099331721 epoch: 12136 Epoch 12136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12136With loss 0.1267430099331721 epoch: 12137 Epoch 12137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12137With loss 0.1267430099331721 epoch: 12138 Epoch 12138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12138With loss 0.1267430099331721 epoch: 12139 Epoch 12139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12139With loss 0.1267430099331721 epoch: 12140 Epoch 12140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12140With loss 0.1267430099331721 epoch: 12141 Epoch 12141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12141With loss 0.1267430099331721 epoch: 12142 Epoch 12142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12142With loss 0.1267430099331721 epoch: 12143 Epoch 12143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12143With loss 0.1267430099331721 epoch: 12144 Epoch 12144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12144With loss 0.1267430099331721 epoch: 12145 Epoch 12145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12145With loss 0.1267430099331721 epoch: 12146 Epoch 12146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12146With loss 0.1267430099331721 epoch: 12147 Epoch 12147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12147With loss 0.1267430099331721 epoch: 12148 Epoch 12148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12148With loss 0.1267430099331721 epoch: 12149 Epoch 12149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12149With loss 0.1267430099331721 epoch: 12150 Epoch 12150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12150With loss 0.1267430099331721 epoch: 12151 Epoch 12151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12151With loss 0.1267430099331721 epoch: 12152 Epoch 12152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12152With loss 0.1267430099331721 epoch: 12153 Epoch 12153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12153With loss 0.1267430099331721 epoch: 12154 Epoch 12154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12154With loss 0.1267430099331721 epoch: 12155 Epoch 12155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12155With loss 0.1267430099331721 epoch: 12156 Epoch 12156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12156With loss 0.1267430099331721 epoch: 12157 Epoch 12157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12157With loss 0.1267430099331721 epoch: 12158 Epoch 12158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12158With loss 0.1267430099331721 epoch: 12159 Epoch 12159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12159With loss 0.1267430099331721 epoch: 12160 Epoch 12160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12160With loss 0.1267430099331721 epoch: 12161 Epoch 12161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12161With loss 0.1267430099331721 epoch: 12162 Epoch 12162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12162With loss 0.1267430099331721 epoch: 12163 Epoch 12163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12163With loss 0.1267430099331721 epoch: 12164 Epoch 12164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12164With loss 0.1267430099331721 epoch: 12165 Epoch 12165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12165With loss 0.1267430099331721 epoch: 12166 Epoch 12166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12166With loss 0.1267430099331721 epoch: 12167 Epoch 12167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12167With loss 0.1267430099331721 epoch: 12168 Epoch 12168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12168With loss 0.1267430099331721 epoch: 12169 Epoch 12169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12169With loss 0.1267430099331721 epoch: 12170 Epoch 12170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12170With loss 0.1267430099331721 epoch: 12171 Epoch 12171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12171With loss 0.1267430099331721 epoch: 12172 Epoch 12172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12172With loss 0.1267430099331721 epoch: 12173 Epoch 12173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12173With loss 0.1267430099331721 epoch: 12174 Epoch 12174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12174With loss 0.1267430099331721 epoch: 12175 Epoch 12175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12175With loss 0.1267430099331721 epoch: 12176 Epoch 12176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12176With loss 0.1267430099331721 epoch: 12177 Epoch 12177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12177With loss 0.1267430099331721 epoch: 12178 Epoch 12178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12178With loss 0.1267430099331721 epoch: 12179 Epoch 12179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12179With loss 0.1267430099331721 epoch: 12180 Epoch 12180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12180With loss 0.1267430099331721 epoch: 12181 Epoch 12181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12181With loss 0.1267430099331721 epoch: 12182 Epoch 12182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12182With loss 0.1267430099331721 epoch: 12183 Epoch 12183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12183With loss 0.1267430099331721 epoch: 12184 Epoch 12184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12184With loss 0.1267430099331721 epoch: 12185 Epoch 12185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12185With loss 0.1267430099331721 epoch: 12186 Epoch 12186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12186With loss 0.1267430099331721 epoch: 12187 Epoch 12187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12187With loss 0.1267430099331721 epoch: 12188 Epoch 12188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12188With loss 0.1267430099331721 epoch: 12189 Epoch 12189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12189With loss 0.1267430099331721 epoch: 12190 Epoch 12190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12190With loss 0.1267430099331721 epoch: 12191 Epoch 12191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12191With loss 0.1267430099331721 epoch: 12192 Epoch 12192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12192With loss 0.1267430099331721 epoch: 12193 Epoch 12193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12193With loss 0.1267430099331721 epoch: 12194 Epoch 12194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12194With loss 0.1267430099331721 epoch: 12195 Epoch 12195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12195With loss 0.1267430099331721 epoch: 12196 Epoch 12196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12196With loss 0.1267430099331721 epoch: 12197 Epoch 12197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12197With loss 0.1267430099331721 epoch: 12198 Epoch 12198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12198With loss 0.1267430099331721 epoch: 12199 Epoch 12199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12199With loss 0.1267430099331721 epoch: 12200 Epoch 12200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12200With loss 0.1267430099331721 epoch: 12201 Epoch 12201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12201With loss 0.1267430099331721 epoch: 12202 Epoch 12202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12202With loss 0.1267430099331721 epoch: 12203 Epoch 12203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12203With loss 0.1267430099331721 epoch: 12204 Epoch 12204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12204With loss 0.1267430099331721 epoch: 12205 Epoch 12205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12205With loss 0.1267430099331721 epoch: 12206 Epoch 12206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12206With loss 0.1267430099331721 epoch: 12207 Epoch 12207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12207With loss 0.1267430099331721 epoch: 12208 Epoch 12208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12208With loss 0.1267430099331721 epoch: 12209 Epoch 12209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12209With loss 0.1267430099331721 epoch: 12210 Epoch 12210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12210With loss 0.1267430099331721 epoch: 12211 Epoch 12211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12211With loss 0.1267430099331721 epoch: 12212 Epoch 12212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12212With loss 0.1267430099331721 epoch: 12213 Epoch 12213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12213With loss 0.1267430099331721 epoch: 12214 Epoch 12214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12214With loss 0.1267430099331721 epoch: 12215 Epoch 12215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12215With loss 0.1267430099331721 epoch: 12216 Epoch 12216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12216With loss 0.1267430099331721 epoch: 12217 Epoch 12217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12217With loss 0.1267430099331721 epoch: 12218 Epoch 12218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12218With loss 0.1267430099331721 epoch: 12219 Epoch 12219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12219With loss 0.1267430099331721 epoch: 12220 Epoch 12220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12220With loss 0.1267430099331721 epoch: 12221 Epoch 12221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12221With loss 0.1267430099331721 epoch: 12222 Epoch 12222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12222With loss 0.1267430099331721 epoch: 12223 Epoch 12223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12223With loss 0.1267430099331721 epoch: 12224 Epoch 12224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12224With loss 0.1267430099331721 epoch: 12225 Epoch 12225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12225With loss 0.1267430099331721 epoch: 12226 Epoch 12226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12226With loss 0.1267430099331721 epoch: 12227 Epoch 12227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12227With loss 0.1267430099331721 epoch: 12228 Epoch 12228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12228With loss 0.1267430099331721 epoch: 12229 Epoch 12229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12229With loss 0.1267430099331721 epoch: 12230 Epoch 12230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12230With loss 0.1267430099331721 epoch: 12231 Epoch 12231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12231With loss 0.1267430099331721 epoch: 12232 Epoch 12232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12232With loss 0.1267430099331721 epoch: 12233 Epoch 12233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12233With loss 0.1267430099331721 epoch: 12234 Epoch 12234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12234With loss 0.1267430099331721 epoch: 12235 Epoch 12235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12235With loss 0.1267430099331721 epoch: 12236 Epoch 12236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12236With loss 0.1267430099331721 epoch: 12237 Epoch 12237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12237With loss 0.1267430099331721 epoch: 12238 Epoch 12238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12238With loss 0.1267430099331721 epoch: 12239 Epoch 12239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12239With loss 0.1267430099331721 epoch: 12240 Epoch 12240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12240With loss 0.1267430099331721 epoch: 12241 Epoch 12241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12241With loss 0.1267430099331721 epoch: 12242 Epoch 12242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12242With loss 0.1267430099331721 epoch: 12243 Epoch 12243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12243With loss 0.1267430099331721 epoch: 12244 Epoch 12244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12244With loss 0.1267430099331721 epoch: 12245 Epoch 12245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12245With loss 0.1267430099331721 epoch: 12246 Epoch 12246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12246With loss 0.1267430099331721 epoch: 12247 Epoch 12247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12247With loss 0.1267430099331721 epoch: 12248 Epoch 12248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12248With loss 0.1267430099331721 epoch: 12249 Epoch 12249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12249With loss 0.1267430099331721 epoch: 12250 Epoch 12250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12250With loss 0.1267430099331721 epoch: 12251 Epoch 12251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12251With loss 0.1267430099331721 epoch: 12252 Epoch 12252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12252With loss 0.1267430099331721 epoch: 12253 Epoch 12253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12253With loss 0.1267430099331721 epoch: 12254 Epoch 12254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12254With loss 0.1267430099331721 epoch: 12255 Epoch 12255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12255With loss 0.1267430099331721 epoch: 12256 Epoch 12256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12256With loss 0.1267430099331721 epoch: 12257 Epoch 12257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12257With loss 0.1267430099331721 epoch: 12258 Epoch 12258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12258With loss 0.1267430099331721 epoch: 12259 Epoch 12259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12259With loss 0.1267430099331721 epoch: 12260 Epoch 12260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12260With loss 0.1267430099331721 epoch: 12261 Epoch 12261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12261With loss 0.1267430099331721 epoch: 12262 Epoch 12262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12262With loss 0.1267430099331721 epoch: 12263 Epoch 12263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12263With loss 0.1267430099331721 epoch: 12264 Epoch 12264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12264With loss 0.1267430099331721 epoch: 12265 Epoch 12265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12265With loss 0.1267430099331721 epoch: 12266 Epoch 12266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12266With loss 0.1267430099331721 epoch: 12267 Epoch 12267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12267With loss 0.1267430099331721 epoch: 12268 Epoch 12268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12268With loss 0.1267430099331721 epoch: 12269 Epoch 12269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12269With loss 0.1267430099331721 epoch: 12270 Epoch 12270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12270With loss 0.1267430099331721 epoch: 12271 Epoch 12271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12271With loss 0.1267430099331721 epoch: 12272 Epoch 12272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12272With loss 0.1267430099331721 epoch: 12273 Epoch 12273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12273With loss 0.1267430099331721 epoch: 12274 Epoch 12274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12274With loss 0.1267430099331721 epoch: 12275 Epoch 12275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12275With loss 0.1267430099331721 epoch: 12276 Epoch 12276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12276With loss 0.1267430099331721 epoch: 12277 Epoch 12277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12277With loss 0.1267430099331721 epoch: 12278 Epoch 12278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12278With loss 0.1267430099331721 epoch: 12279 Epoch 12279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12279With loss 0.1267430099331721 epoch: 12280 Epoch 12280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12280With loss 0.1267430099331721 epoch: 12281 Epoch 12281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12281With loss 0.1267430099331721 epoch: 12282 Epoch 12282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12282With loss 0.1267430099331721 epoch: 12283 Epoch 12283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12283With loss 0.1267430099331721 epoch: 12284 Epoch 12284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12284With loss 0.1267430099331721 epoch: 12285 Epoch 12285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12285With loss 0.1267430099331721 epoch: 12286 Epoch 12286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12286With loss 0.1267430099331721 epoch: 12287 Epoch 12287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12287With loss 0.1267430099331721 epoch: 12288 Epoch 12288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12288With loss 0.1267430099331721 epoch: 12289 Epoch 12289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12289With loss 0.1267430099331721 epoch: 12290 Epoch 12290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12290With loss 0.1267430099331721 epoch: 12291 Epoch 12291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12291With loss 0.1267430099331721 epoch: 12292 Epoch 12292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12292With loss 0.1267430099331721 epoch: 12293 Epoch 12293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12293With loss 0.1267430099331721 epoch: 12294 Epoch 12294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12294With loss 0.1267430099331721 epoch: 12295 Epoch 12295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12295With loss 0.1267430099331721 epoch: 12296 Epoch 12296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12296With loss 0.1267430099331721 epoch: 12297 Epoch 12297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12297With loss 0.1267430099331721 epoch: 12298 Epoch 12298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12298With loss 0.1267430099331721 epoch: 12299 Epoch 12299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12299With loss 0.1267430099331721 epoch: 12300 Epoch 12300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12300With loss 0.1267430099331721 epoch: 12301 Epoch 12301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12301With loss 0.1267430099331721 epoch: 12302 Epoch 12302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12302With loss 0.1267430099331721 epoch: 12303 Epoch 12303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12303With loss 0.1267430099331721 epoch: 12304 Epoch 12304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12304With loss 0.1267430099331721 epoch: 12305 Epoch 12305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12305With loss 0.1267430099331721 epoch: 12306 Epoch 12306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12306With loss 0.1267430099331721 epoch: 12307 Epoch 12307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12307With loss 0.1267430099331721 epoch: 12308 Epoch 12308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12308With loss 0.1267430099331721 epoch: 12309 Epoch 12309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12309With loss 0.1267430099331721 epoch: 12310 Epoch 12310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12310With loss 0.1267430099331721 epoch: 12311 Epoch 12311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12311With loss 0.1267430099331721 epoch: 12312 Epoch 12312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12312With loss 0.1267430099331721 epoch: 12313 Epoch 12313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12313With loss 0.1267430099331721 epoch: 12314 Epoch 12314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12314With loss 0.1267430099331721 epoch: 12315 Epoch 12315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12315With loss 0.1267430099331721 epoch: 12316 Epoch 12316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12316With loss 0.1267430099331721 epoch: 12317 Epoch 12317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12317With loss 0.1267430099331721 epoch: 12318 Epoch 12318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12318With loss 0.1267430099331721 epoch: 12319 Epoch 12319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12319With loss 0.1267430099331721 epoch: 12320 Epoch 12320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12320With loss 0.1267430099331721 epoch: 12321 Epoch 12321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12321With loss 0.1267430099331721 epoch: 12322 Epoch 12322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12322With loss 0.1267430099331721 epoch: 12323 Epoch 12323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12323With loss 0.1267430099331721 epoch: 12324 Epoch 12324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12324With loss 0.1267430099331721 epoch: 12325 Epoch 12325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12325With loss 0.1267430099331721 epoch: 12326 Epoch 12326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12326With loss 0.1267430099331721 epoch: 12327 Epoch 12327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12327With loss 0.1267430099331721 epoch: 12328 Epoch 12328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12328With loss 0.1267430099331721 epoch: 12329 Epoch 12329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12329With loss 0.1267430099331721 epoch: 12330 Epoch 12330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12330With loss 0.1267430099331721 epoch: 12331 Epoch 12331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12331With loss 0.1267430099331721 epoch: 12332 Epoch 12332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12332With loss 0.1267430099331721 epoch: 12333 Epoch 12333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12333With loss 0.1267430099331721 epoch: 12334 Epoch 12334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12334With loss 0.1267430099331721 epoch: 12335 Epoch 12335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12335With loss 0.1267430099331721 epoch: 12336 Epoch 12336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12336With loss 0.1267430099331721 epoch: 12337 Epoch 12337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12337With loss 0.1267430099331721 epoch: 12338 Epoch 12338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12338With loss 0.1267430099331721 epoch: 12339 Epoch 12339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12339With loss 0.1267430099331721 epoch: 12340 Epoch 12340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12340With loss 0.1267430099331721 epoch: 12341 Epoch 12341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12341With loss 0.1267430099331721 epoch: 12342 Epoch 12342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12342With loss 0.1267430099331721 epoch: 12343 Epoch 12343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12343With loss 0.1267430099331721 epoch: 12344 Epoch 12344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12344With loss 0.1267430099331721 epoch: 12345 Epoch 12345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12345With loss 0.1267430099331721 epoch: 12346 Epoch 12346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12346With loss 0.1267430099331721 epoch: 12347 Epoch 12347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12347With loss 0.1267430099331721 epoch: 12348 Epoch 12348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12348With loss 0.1267430099331721 epoch: 12349 Epoch 12349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12349With loss 0.1267430099331721 epoch: 12350 Epoch 12350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12350With loss 0.1267430099331721 epoch: 12351 Epoch 12351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12351With loss 0.1267430099331721 epoch: 12352 Epoch 12352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12352With loss 0.1267430099331721 epoch: 12353 Epoch 12353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12353With loss 0.1267430099331721 epoch: 12354 Epoch 12354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12354With loss 0.1267430099331721 epoch: 12355 Epoch 12355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12355With loss 0.1267430099331721 epoch: 12356 Epoch 12356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12356With loss 0.1267430099331721 epoch: 12357 Epoch 12357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12357With loss 0.1267430099331721 epoch: 12358 Epoch 12358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12358With loss 0.1267430099331721 epoch: 12359 Epoch 12359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12359With loss 0.1267430099331721 epoch: 12360 Epoch 12360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12360With loss 0.1267430099331721 epoch: 12361 Epoch 12361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12361With loss 0.1267430099331721 epoch: 12362 Epoch 12362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12362With loss 0.1267430099331721 epoch: 12363 Epoch 12363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12363With loss 0.1267430099331721 epoch: 12364 Epoch 12364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12364With loss 0.1267430099331721 epoch: 12365 Epoch 12365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12365With loss 0.1267430099331721 epoch: 12366 Epoch 12366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12366With loss 0.1267430099331721 epoch: 12367 Epoch 12367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12367With loss 0.1267430099331721 epoch: 12368 Epoch 12368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12368With loss 0.1267430099331721 epoch: 12369 Epoch 12369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12369With loss 0.1267430099331721 epoch: 12370 Epoch 12370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12370With loss 0.1267430099331721 epoch: 12371 Epoch 12371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12371With loss 0.1267430099331721 epoch: 12372 Epoch 12372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12372With loss 0.1267430099331721 epoch: 12373 Epoch 12373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12373With loss 0.1267430099331721 epoch: 12374 Epoch 12374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12374With loss 0.1267430099331721 epoch: 12375 Epoch 12375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12375With loss 0.1267430099331721 epoch: 12376 Epoch 12376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12376With loss 0.1267430099331721 epoch: 12377 Epoch 12377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12377With loss 0.1267430099331721 epoch: 12378 Epoch 12378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12378With loss 0.1267430099331721 epoch: 12379 Epoch 12379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12379With loss 0.1267430099331721 epoch: 12380 Epoch 12380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12380With loss 0.1267430099331721 epoch: 12381 Epoch 12381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12381With loss 0.1267430099331721 epoch: 12382 Epoch 12382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12382With loss 0.1267430099331721 epoch: 12383 Epoch 12383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12383With loss 0.1267430099331721 epoch: 12384 Epoch 12384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12384With loss 0.1267430099331721 epoch: 12385 Epoch 12385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12385With loss 0.1267430099331721 epoch: 12386 Epoch 12386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12386With loss 0.1267430099331721 epoch: 12387 Epoch 12387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12387With loss 0.1267430099331721 epoch: 12388 Epoch 12388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12388With loss 0.1267430099331721 epoch: 12389 Epoch 12389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12389With loss 0.1267430099331721 epoch: 12390 Epoch 12390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12390With loss 0.1267430099331721 epoch: 12391 Epoch 12391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12391With loss 0.1267430099331721 epoch: 12392 Epoch 12392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12392With loss 0.1267430099331721 epoch: 12393 Epoch 12393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12393With loss 0.1267430099331721 epoch: 12394 Epoch 12394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12394With loss 0.1267430099331721 epoch: 12395 Epoch 12395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12395With loss 0.1267430099331721 epoch: 12396 Epoch 12396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12396With loss 0.1267430099331721 epoch: 12397 Epoch 12397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12397With loss 0.1267430099331721 epoch: 12398 Epoch 12398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12398With loss 0.1267430099331721 epoch: 12399 Epoch 12399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12399With loss 0.1267430099331721 epoch: 12400 Epoch 12400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12400With loss 0.1267430099331721 epoch: 12401 Epoch 12401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12401With loss 0.1267430099331721 epoch: 12402 Epoch 12402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12402With loss 0.1267430099331721 epoch: 12403 Epoch 12403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12403With loss 0.1267430099331721 epoch: 12404 Epoch 12404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12404With loss 0.1267430099331721 epoch: 12405 Epoch 12405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12405With loss 0.1267430099331721 epoch: 12406 Epoch 12406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12406With loss 0.1267430099331721 epoch: 12407 Epoch 12407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12407With loss 0.1267430099331721 epoch: 12408 Epoch 12408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12408With loss 0.1267430099331721 epoch: 12409 Epoch 12409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12409With loss 0.1267430099331721 epoch: 12410 Epoch 12410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12410With loss 0.1267430099331721 epoch: 12411 Epoch 12411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12411With loss 0.1267430099331721 epoch: 12412 Epoch 12412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12412With loss 0.1267430099331721 epoch: 12413 Epoch 12413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12413With loss 0.1267430099331721 epoch: 12414 Epoch 12414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12414With loss 0.1267430099331721 epoch: 12415 Epoch 12415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12415With loss 0.1267430099331721 epoch: 12416 Epoch 12416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12416With loss 0.1267430099331721 epoch: 12417 Epoch 12417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12417With loss 0.1267430099331721 epoch: 12418 Epoch 12418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12418With loss 0.1267430099331721 epoch: 12419 Epoch 12419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12419With loss 0.1267430099331721 epoch: 12420 Epoch 12420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12420With loss 0.1267430099331721 epoch: 12421 Epoch 12421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12421With loss 0.1267430099331721 epoch: 12422 Epoch 12422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12422With loss 0.1267430099331721 epoch: 12423 Epoch 12423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12423With loss 0.1267430099331721 epoch: 12424 Epoch 12424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12424With loss 0.1267430099331721 epoch: 12425 Epoch 12425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12425With loss 0.1267430099331721 epoch: 12426 Epoch 12426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12426With loss 0.1267430099331721 epoch: 12427 Epoch 12427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12427With loss 0.1267430099331721 epoch: 12428 Epoch 12428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12428With loss 0.1267430099331721 epoch: 12429 Epoch 12429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12429With loss 0.1267430099331721 epoch: 12430 Epoch 12430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12430With loss 0.1267430099331721 epoch: 12431 Epoch 12431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12431With loss 0.1267430099331721 epoch: 12432 Epoch 12432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12432With loss 0.1267430099331721 epoch: 12433 Epoch 12433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12433With loss 0.1267430099331721 epoch: 12434 Epoch 12434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12434With loss 0.1267430099331721 epoch: 12435 Epoch 12435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12435With loss 0.1267430099331721 epoch: 12436 Epoch 12436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12436With loss 0.1267430099331721 epoch: 12437 Epoch 12437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12437With loss 0.1267430099331721 epoch: 12438 Epoch 12438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12438With loss 0.1267430099331721 epoch: 12439 Epoch 12439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12439With loss 0.1267430099331721 epoch: 12440 Epoch 12440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12440With loss 0.1267430099331721 epoch: 12441 Epoch 12441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12441With loss 0.1267430099331721 epoch: 12442 Epoch 12442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12442With loss 0.1267430099331721 epoch: 12443 Epoch 12443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12443With loss 0.1267430099331721 epoch: 12444 Epoch 12444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12444With loss 0.1267430099331721 epoch: 12445 Epoch 12445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12445With loss 0.1267430099331721 epoch: 12446 Epoch 12446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12446With loss 0.1267430099331721 epoch: 12447 Epoch 12447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12447With loss 0.1267430099331721 epoch: 12448 Epoch 12448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12448With loss 0.1267430099331721 epoch: 12449 Epoch 12449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12449With loss 0.1267430099331721 epoch: 12450 Epoch 12450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12450With loss 0.1267430099331721 epoch: 12451 Epoch 12451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12451With loss 0.1267430099331721 epoch: 12452 Epoch 12452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12452With loss 0.1267430099331721 epoch: 12453 Epoch 12453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12453With loss 0.1267430099331721 epoch: 12454 Epoch 12454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12454With loss 0.1267430099331721 epoch: 12455 Epoch 12455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12455With loss 0.1267430099331721 epoch: 12456 Epoch 12456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12456With loss 0.1267430099331721 epoch: 12457 Epoch 12457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12457With loss 0.1267430099331721 epoch: 12458 Epoch 12458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12458With loss 0.1267430099331721 epoch: 12459 Epoch 12459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12459With loss 0.1267430099331721 epoch: 12460 Epoch 12460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12460With loss 0.1267430099331721 epoch: 12461 Epoch 12461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12461With loss 0.1267430099331721 epoch: 12462 Epoch 12462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12462With loss 0.1267430099331721 epoch: 12463 Epoch 12463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12463With loss 0.1267430099331721 epoch: 12464 Epoch 12464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12464With loss 0.1267430099331721 epoch: 12465 Epoch 12465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12465With loss 0.1267430099331721 epoch: 12466 Epoch 12466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12466With loss 0.1267430099331721 epoch: 12467 Epoch 12467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12467With loss 0.1267430099331721 epoch: 12468 Epoch 12468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12468With loss 0.1267430099331721 epoch: 12469 Epoch 12469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12469With loss 0.1267430099331721 epoch: 12470 Epoch 12470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12470With loss 0.1267430099331721 epoch: 12471 Epoch 12471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12471With loss 0.1267430099331721 epoch: 12472 Epoch 12472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12472With loss 0.1267430099331721 epoch: 12473 Epoch 12473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12473With loss 0.1267430099331721 epoch: 12474 Epoch 12474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12474With loss 0.1267430099331721 epoch: 12475 Epoch 12475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12475With loss 0.1267430099331721 epoch: 12476 Epoch 12476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12476With loss 0.1267430099331721 epoch: 12477 Epoch 12477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12477With loss 0.1267430099331721 epoch: 12478 Epoch 12478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12478With loss 0.1267430099331721 epoch: 12479 Epoch 12479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12479With loss 0.1267430099331721 epoch: 12480 Epoch 12480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12480With loss 0.1267430099331721 epoch: 12481 Epoch 12481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12481With loss 0.1267430099331721 epoch: 12482 Epoch 12482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12482With loss 0.1267430099331721 epoch: 12483 Epoch 12483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12483With loss 0.1267430099331721 epoch: 12484 Epoch 12484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12484With loss 0.1267430099331721 epoch: 12485 Epoch 12485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12485With loss 0.1267430099331721 epoch: 12486 Epoch 12486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12486With loss 0.1267430099331721 epoch: 12487 Epoch 12487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12487With loss 0.1267430099331721 epoch: 12488 Epoch 12488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12488With loss 0.1267430099331721 epoch: 12489 Epoch 12489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12489With loss 0.1267430099331721 epoch: 12490 Epoch 12490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12490With loss 0.1267430099331721 epoch: 12491 Epoch 12491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12491With loss 0.1267430099331721 epoch: 12492 Epoch 12492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12492With loss 0.1267430099331721 epoch: 12493 Epoch 12493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12493With loss 0.1267430099331721 epoch: 12494 Epoch 12494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12494With loss 0.1267430099331721 epoch: 12495 Epoch 12495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12495With loss 0.1267430099331721 epoch: 12496 Epoch 12496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12496With loss 0.1267430099331721 epoch: 12497 Epoch 12497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12497With loss 0.1267430099331721 epoch: 12498 Epoch 12498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12498With loss 0.1267430099331721 epoch: 12499 Epoch 12499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12499With loss 0.1267430099331721 epoch: 12500 Epoch 12500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12500With loss 0.1267430099331721 epoch: 12501 Epoch 12501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12501With loss 0.1267430099331721 epoch: 12502 Epoch 12502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12502With loss 0.1267430099331721 epoch: 12503 Epoch 12503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12503With loss 0.1267430099331721 epoch: 12504 Epoch 12504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12504With loss 0.1267430099331721 epoch: 12505 Epoch 12505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12505With loss 0.1267430099331721 epoch: 12506 Epoch 12506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12506With loss 0.1267430099331721 epoch: 12507 Epoch 12507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12507With loss 0.1267430099331721 epoch: 12508 Epoch 12508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12508With loss 0.1267430099331721 epoch: 12509 Epoch 12509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12509With loss 0.1267430099331721 epoch: 12510 Epoch 12510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12510With loss 0.1267430099331721 epoch: 12511 Epoch 12511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12511With loss 0.1267430099331721 epoch: 12512 Epoch 12512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12512With loss 0.1267430099331721 epoch: 12513 Epoch 12513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12513With loss 0.1267430099331721 epoch: 12514 Epoch 12514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12514With loss 0.1267430099331721 epoch: 12515 Epoch 12515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12515With loss 0.1267430099331721 epoch: 12516 Epoch 12516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12516With loss 0.1267430099331721 epoch: 12517 Epoch 12517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12517With loss 0.1267430099331721 epoch: 12518 Epoch 12518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12518With loss 0.1267430099331721 epoch: 12519 Epoch 12519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12519With loss 0.1267430099331721 epoch: 12520 Epoch 12520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12520With loss 0.1267430099331721 epoch: 12521 Epoch 12521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12521With loss 0.1267430099331721 epoch: 12522 Epoch 12522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12522With loss 0.1267430099331721 epoch: 12523 Epoch 12523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12523With loss 0.1267430099331721 epoch: 12524 Epoch 12524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12524With loss 0.1267430099331721 epoch: 12525 Epoch 12525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12525With loss 0.1267430099331721 epoch: 12526 Epoch 12526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12526With loss 0.1267430099331721 epoch: 12527 Epoch 12527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12527With loss 0.1267430099331721 epoch: 12528 Epoch 12528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12528With loss 0.1267430099331721 epoch: 12529 Epoch 12529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12529With loss 0.1267430099331721 epoch: 12530 Epoch 12530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12530With loss 0.1267430099331721 epoch: 12531 Epoch 12531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12531With loss 0.1267430099331721 epoch: 12532 Epoch 12532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12532With loss 0.1267430099331721 epoch: 12533 Epoch 12533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12533With loss 0.1267430099331721 epoch: 12534 Epoch 12534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12534With loss 0.1267430099331721 epoch: 12535 Epoch 12535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12535With loss 0.1267430099331721 epoch: 12536 Epoch 12536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12536With loss 0.1267430099331721 epoch: 12537 Epoch 12537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12537With loss 0.1267430099331721 epoch: 12538 Epoch 12538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12538With loss 0.1267430099331721 epoch: 12539 Epoch 12539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12539With loss 0.1267430099331721 epoch: 12540 Epoch 12540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12540With loss 0.1267430099331721 epoch: 12541 Epoch 12541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12541With loss 0.1267430099331721 epoch: 12542 Epoch 12542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12542With loss 0.1267430099331721 epoch: 12543 Epoch 12543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12543With loss 0.1267430099331721 epoch: 12544 Epoch 12544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12544With loss 0.1267430099331721 epoch: 12545 Epoch 12545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12545With loss 0.1267430099331721 epoch: 12546 Epoch 12546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12546With loss 0.1267430099331721 epoch: 12547 Epoch 12547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12547With loss 0.1267430099331721 epoch: 12548 Epoch 12548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12548With loss 0.1267430099331721 epoch: 12549 Epoch 12549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12549With loss 0.1267430099331721 epoch: 12550 Epoch 12550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12550With loss 0.1267430099331721 epoch: 12551 Epoch 12551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12551With loss 0.1267430099331721 epoch: 12552 Epoch 12552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12552With loss 0.1267430099331721 epoch: 12553 Epoch 12553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12553With loss 0.1267430099331721 epoch: 12554 Epoch 12554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12554With loss 0.1267430099331721 epoch: 12555 Epoch 12555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12555With loss 0.1267430099331721 epoch: 12556 Epoch 12556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12556With loss 0.1267430099331721 epoch: 12557 Epoch 12557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12557With loss 0.1267430099331721 epoch: 12558 Epoch 12558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12558With loss 0.1267430099331721 epoch: 12559 Epoch 12559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12559With loss 0.1267430099331721 epoch: 12560 Epoch 12560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12560With loss 0.1267430099331721 epoch: 12561 Epoch 12561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12561With loss 0.1267430099331721 epoch: 12562 Epoch 12562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12562With loss 0.1267430099331721 epoch: 12563 Epoch 12563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12563With loss 0.1267430099331721 epoch: 12564 Epoch 12564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12564With loss 0.1267430099331721 epoch: 12565 Epoch 12565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12565With loss 0.1267430099331721 epoch: 12566 Epoch 12566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12566With loss 0.1267430099331721 epoch: 12567 Epoch 12567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12567With loss 0.1267430099331721 epoch: 12568 Epoch 12568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12568With loss 0.1267430099331721 epoch: 12569 Epoch 12569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12569With loss 0.1267430099331721 epoch: 12570 Epoch 12570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12570With loss 0.1267430099331721 epoch: 12571 Epoch 12571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12571With loss 0.1267430099331721 epoch: 12572 Epoch 12572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12572With loss 0.1267430099331721 epoch: 12573 Epoch 12573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12573With loss 0.1267430099331721 epoch: 12574 Epoch 12574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12574With loss 0.1267430099331721 epoch: 12575 Epoch 12575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12575With loss 0.1267430099331721 epoch: 12576 Epoch 12576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12576With loss 0.1267430099331721 epoch: 12577 Epoch 12577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12577With loss 0.1267430099331721 epoch: 12578 Epoch 12578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12578With loss 0.1267430099331721 epoch: 12579 Epoch 12579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12579With loss 0.1267430099331721 epoch: 12580 Epoch 12580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12580With loss 0.1267430099331721 epoch: 12581 Epoch 12581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12581With loss 0.1267430099331721 epoch: 12582 Epoch 12582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12582With loss 0.1267430099331721 epoch: 12583 Epoch 12583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12583With loss 0.1267430099331721 epoch: 12584 Epoch 12584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12584With loss 0.1267430099331721 epoch: 12585 Epoch 12585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12585With loss 0.1267430099331721 epoch: 12586 Epoch 12586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12586With loss 0.1267430099331721 epoch: 12587 Epoch 12587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12587With loss 0.1267430099331721 epoch: 12588 Epoch 12588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12588With loss 0.1267430099331721 epoch: 12589 Epoch 12589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12589With loss 0.1267430099331721 epoch: 12590 Epoch 12590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12590With loss 0.1267430099331721 epoch: 12591 Epoch 12591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12591With loss 0.1267430099331721 epoch: 12592 Epoch 12592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12592With loss 0.1267430099331721 epoch: 12593 Epoch 12593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12593With loss 0.1267430099331721 epoch: 12594 Epoch 12594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12594With loss 0.1267430099331721 epoch: 12595 Epoch 12595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12595With loss 0.1267430099331721 epoch: 12596 Epoch 12596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12596With loss 0.1267430099331721 epoch: 12597 Epoch 12597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12597With loss 0.1267430099331721 epoch: 12598 Epoch 12598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12598With loss 0.1267430099331721 epoch: 12599 Epoch 12599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12599With loss 0.1267430099331721 epoch: 12600 Epoch 12600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12600With loss 0.1267430099331721 epoch: 12601 Epoch 12601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12601With loss 0.1267430099331721 epoch: 12602 Epoch 12602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12602With loss 0.1267430099331721 epoch: 12603 Epoch 12603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12603With loss 0.1267430099331721 epoch: 12604 Epoch 12604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12604With loss 0.1267430099331721 epoch: 12605 Epoch 12605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12605With loss 0.1267430099331721 epoch: 12606 Epoch 12606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12606With loss 0.1267430099331721 epoch: 12607 Epoch 12607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12607With loss 0.1267430099331721 epoch: 12608 Epoch 12608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12608With loss 0.1267430099331721 epoch: 12609 Epoch 12609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12609With loss 0.1267430099331721 epoch: 12610 Epoch 12610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12610With loss 0.1267430099331721 epoch: 12611 Epoch 12611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12611With loss 0.1267430099331721 epoch: 12612 Epoch 12612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12612With loss 0.1267430099331721 epoch: 12613 Epoch 12613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12613With loss 0.1267430099331721 epoch: 12614 Epoch 12614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12614With loss 0.1267430099331721 epoch: 12615 Epoch 12615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12615With loss 0.1267430099331721 epoch: 12616 Epoch 12616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12616With loss 0.1267430099331721 epoch: 12617 Epoch 12617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12617With loss 0.1267430099331721 epoch: 12618 Epoch 12618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12618With loss 0.1267430099331721 epoch: 12619 Epoch 12619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12619With loss 0.1267430099331721 epoch: 12620 Epoch 12620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12620With loss 0.1267430099331721 epoch: 12621 Epoch 12621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12621With loss 0.1267430099331721 epoch: 12622 Epoch 12622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12622With loss 0.1267430099331721 epoch: 12623 Epoch 12623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12623With loss 0.1267430099331721 epoch: 12624 Epoch 12624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12624With loss 0.1267430099331721 epoch: 12625 Epoch 12625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12625With loss 0.1267430099331721 epoch: 12626 Epoch 12626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12626With loss 0.1267430099331721 epoch: 12627 Epoch 12627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12627With loss 0.1267430099331721 epoch: 12628 Epoch 12628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12628With loss 0.1267430099331721 epoch: 12629 Epoch 12629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12629With loss 0.1267430099331721 epoch: 12630 Epoch 12630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12630With loss 0.1267430099331721 epoch: 12631 Epoch 12631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12631With loss 0.1267430099331721 epoch: 12632 Epoch 12632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12632With loss 0.1267430099331721 epoch: 12633 Epoch 12633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12633With loss 0.1267430099331721 epoch: 12634 Epoch 12634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12634With loss 0.1267430099331721 epoch: 12635 Epoch 12635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12635With loss 0.1267430099331721 epoch: 12636 Epoch 12636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12636With loss 0.1267430099331721 epoch: 12637 Epoch 12637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12637With loss 0.1267430099331721 epoch: 12638 Epoch 12638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12638With loss 0.1267430099331721 epoch: 12639 Epoch 12639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12639With loss 0.1267430099331721 epoch: 12640 Epoch 12640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12640With loss 0.1267430099331721 epoch: 12641 Epoch 12641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12641With loss 0.1267430099331721 epoch: 12642 Epoch 12642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12642With loss 0.1267430099331721 epoch: 12643 Epoch 12643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12643With loss 0.1267430099331721 epoch: 12644 Epoch 12644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12644With loss 0.1267430099331721 epoch: 12645 Epoch 12645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12645With loss 0.1267430099331721 epoch: 12646 Epoch 12646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12646With loss 0.1267430099331721 epoch: 12647 Epoch 12647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12647With loss 0.1267430099331721 epoch: 12648 Epoch 12648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12648With loss 0.1267430099331721 epoch: 12649 Epoch 12649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12649With loss 0.1267430099331721 epoch: 12650 Epoch 12650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12650With loss 0.1267430099331721 epoch: 12651 Epoch 12651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12651With loss 0.1267430099331721 epoch: 12652 Epoch 12652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12652With loss 0.1267430099331721 epoch: 12653 Epoch 12653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12653With loss 0.1267430099331721 epoch: 12654 Epoch 12654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12654With loss 0.1267430099331721 epoch: 12655 Epoch 12655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12655With loss 0.1267430099331721 epoch: 12656 Epoch 12656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12656With loss 0.1267430099331721 epoch: 12657 Epoch 12657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12657With loss 0.1267430099331721 epoch: 12658 Epoch 12658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12658With loss 0.1267430099331721 epoch: 12659 Epoch 12659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12659With loss 0.1267430099331721 epoch: 12660 Epoch 12660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12660With loss 0.1267430099331721 epoch: 12661 Epoch 12661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12661With loss 0.1267430099331721 epoch: 12662 Epoch 12662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12662With loss 0.1267430099331721 epoch: 12663 Epoch 12663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12663With loss 0.1267430099331721 epoch: 12664 Epoch 12664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12664With loss 0.1267430099331721 epoch: 12665 Epoch 12665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12665With loss 0.1267430099331721 epoch: 12666 Epoch 12666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12666With loss 0.1267430099331721 epoch: 12667 Epoch 12667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12667With loss 0.1267430099331721 epoch: 12668 Epoch 12668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12668With loss 0.1267430099331721 epoch: 12669 Epoch 12669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12669With loss 0.1267430099331721 epoch: 12670 Epoch 12670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12670With loss 0.1267430099331721 epoch: 12671 Epoch 12671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12671With loss 0.1267430099331721 epoch: 12672 Epoch 12672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12672With loss 0.1267430099331721 epoch: 12673 Epoch 12673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12673With loss 0.1267430099331721 epoch: 12674 Epoch 12674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12674With loss 0.1267430099331721 epoch: 12675 Epoch 12675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12675With loss 0.1267430099331721 epoch: 12676 Epoch 12676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12676With loss 0.1267430099331721 epoch: 12677 Epoch 12677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12677With loss 0.1267430099331721 epoch: 12678 Epoch 12678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12678With loss 0.1267430099331721 epoch: 12679 Epoch 12679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12679With loss 0.1267430099331721 epoch: 12680 Epoch 12680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12680With loss 0.1267430099331721 epoch: 12681 Epoch 12681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12681With loss 0.1267430099331721 epoch: 12682 Epoch 12682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12682With loss 0.1267430099331721 epoch: 12683 Epoch 12683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12683With loss 0.1267430099331721 epoch: 12684 Epoch 12684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12684With loss 0.1267430099331721 epoch: 12685 Epoch 12685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12685With loss 0.1267430099331721 epoch: 12686 Epoch 12686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12686With loss 0.1267430099331721 epoch: 12687 Epoch 12687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12687With loss 0.1267430099331721 epoch: 12688 Epoch 12688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12688With loss 0.1267430099331721 epoch: 12689 Epoch 12689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12689With loss 0.1267430099331721 epoch: 12690 Epoch 12690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12690With loss 0.1267430099331721 epoch: 12691 Epoch 12691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12691With loss 0.1267430099331721 epoch: 12692 Epoch 12692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12692With loss 0.1267430099331721 epoch: 12693 Epoch 12693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12693With loss 0.1267430099331721 epoch: 12694 Epoch 12694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12694With loss 0.1267430099331721 epoch: 12695 Epoch 12695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12695With loss 0.1267430099331721 epoch: 12696 Epoch 12696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12696With loss 0.1267430099331721 epoch: 12697 Epoch 12697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12697With loss 0.1267430099331721 epoch: 12698 Epoch 12698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12698With loss 0.1267430099331721 epoch: 12699 Epoch 12699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12699With loss 0.1267430099331721 epoch: 12700 Epoch 12700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12700With loss 0.1267430099331721 epoch: 12701 Epoch 12701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12701With loss 0.1267430099331721 epoch: 12702 Epoch 12702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12702With loss 0.1267430099331721 epoch: 12703 Epoch 12703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12703With loss 0.1267430099331721 epoch: 12704 Epoch 12704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12704With loss 0.1267430099331721 epoch: 12705 Epoch 12705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12705With loss 0.1267430099331721 epoch: 12706 Epoch 12706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12706With loss 0.1267430099331721 epoch: 12707 Epoch 12707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12707With loss 0.1267430099331721 epoch: 12708 Epoch 12708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12708With loss 0.1267430099331721 epoch: 12709 Epoch 12709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12709With loss 0.1267430099331721 epoch: 12710 Epoch 12710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12710With loss 0.1267430099331721 epoch: 12711 Epoch 12711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12711With loss 0.1267430099331721 epoch: 12712 Epoch 12712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12712With loss 0.1267430099331721 epoch: 12713 Epoch 12713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12713With loss 0.1267430099331721 epoch: 12714 Epoch 12714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12714With loss 0.1267430099331721 epoch: 12715 Epoch 12715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12715With loss 0.1267430099331721 epoch: 12716 Epoch 12716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12716With loss 0.1267430099331721 epoch: 12717 Epoch 12717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12717With loss 0.1267430099331721 epoch: 12718 Epoch 12718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12718With loss 0.1267430099331721 epoch: 12719 Epoch 12719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12719With loss 0.1267430099331721 epoch: 12720 Epoch 12720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12720With loss 0.1267430099331721 epoch: 12721 Epoch 12721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12721With loss 0.1267430099331721 epoch: 12722 Epoch 12722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12722With loss 0.1267430099331721 epoch: 12723 Epoch 12723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12723With loss 0.1267430099331721 epoch: 12724 Epoch 12724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12724With loss 0.1267430099331721 epoch: 12725 Epoch 12725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12725With loss 0.1267430099331721 epoch: 12726 Epoch 12726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12726With loss 0.1267430099331721 epoch: 12727 Epoch 12727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12727With loss 0.1267430099331721 epoch: 12728 Epoch 12728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12728With loss 0.1267430099331721 epoch: 12729 Epoch 12729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12729With loss 0.1267430099331721 epoch: 12730 Epoch 12730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12730With loss 0.1267430099331721 epoch: 12731 Epoch 12731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12731With loss 0.1267430099331721 epoch: 12732 Epoch 12732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12732With loss 0.1267430099331721 epoch: 12733 Epoch 12733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12733With loss 0.1267430099331721 epoch: 12734 Epoch 12734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12734With loss 0.1267430099331721 epoch: 12735 Epoch 12735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12735With loss 0.1267430099331721 epoch: 12736 Epoch 12736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12736With loss 0.1267430099331721 epoch: 12737 Epoch 12737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12737With loss 0.1267430099331721 epoch: 12738 Epoch 12738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12738With loss 0.1267430099331721 epoch: 12739 Epoch 12739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12739With loss 0.1267430099331721 epoch: 12740 Epoch 12740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12740With loss 0.1267430099331721 epoch: 12741 Epoch 12741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12741With loss 0.1267430099331721 epoch: 12742 Epoch 12742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12742With loss 0.1267430099331721 epoch: 12743 Epoch 12743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12743With loss 0.1267430099331721 epoch: 12744 Epoch 12744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12744With loss 0.1267430099331721 epoch: 12745 Epoch 12745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12745With loss 0.1267430099331721 epoch: 12746 Epoch 12746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12746With loss 0.1267430099331721 epoch: 12747 Epoch 12747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12747With loss 0.1267430099331721 epoch: 12748 Epoch 12748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12748With loss 0.1267430099331721 epoch: 12749 Epoch 12749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12749With loss 0.1267430099331721 epoch: 12750 Epoch 12750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12750With loss 0.1267430099331721 epoch: 12751 Epoch 12751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12751With loss 0.1267430099331721 epoch: 12752 Epoch 12752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12752With loss 0.1267430099331721 epoch: 12753 Epoch 12753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12753With loss 0.1267430099331721 epoch: 12754 Epoch 12754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12754With loss 0.1267430099331721 epoch: 12755 Epoch 12755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12755With loss 0.1267430099331721 epoch: 12756 Epoch 12756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12756With loss 0.1267430099331721 epoch: 12757 Epoch 12757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12757With loss 0.1267430099331721 epoch: 12758 Epoch 12758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12758With loss 0.1267430099331721 epoch: 12759 Epoch 12759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12759With loss 0.1267430099331721 epoch: 12760 Epoch 12760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12760With loss 0.1267430099331721 epoch: 12761 Epoch 12761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12761With loss 0.1267430099331721 epoch: 12762 Epoch 12762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12762With loss 0.1267430099331721 epoch: 12763 Epoch 12763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12763With loss 0.1267430099331721 epoch: 12764 Epoch 12764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12764With loss 0.1267430099331721 epoch: 12765 Epoch 12765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12765With loss 0.1267430099331721 epoch: 12766 Epoch 12766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12766With loss 0.1267430099331721 epoch: 12767 Epoch 12767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12767With loss 0.1267430099331721 epoch: 12768 Epoch 12768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12768With loss 0.1267430099331721 epoch: 12769 Epoch 12769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12769With loss 0.1267430099331721 epoch: 12770 Epoch 12770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12770With loss 0.1267430099331721 epoch: 12771 Epoch 12771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12771With loss 0.1267430099331721 epoch: 12772 Epoch 12772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12772With loss 0.1267430099331721 epoch: 12773 Epoch 12773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12773With loss 0.1267430099331721 epoch: 12774 Epoch 12774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12774With loss 0.1267430099331721 epoch: 12775 Epoch 12775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12775With loss 0.1267430099331721 epoch: 12776 Epoch 12776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12776With loss 0.1267430099331721 epoch: 12777 Epoch 12777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12777With loss 0.1267430099331721 epoch: 12778 Epoch 12778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12778With loss 0.1267430099331721 epoch: 12779 Epoch 12779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12779With loss 0.1267430099331721 epoch: 12780 Epoch 12780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12780With loss 0.1267430099331721 epoch: 12781 Epoch 12781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12781With loss 0.1267430099331721 epoch: 12782 Epoch 12782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12782With loss 0.1267430099331721 epoch: 12783 Epoch 12783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12783With loss 0.1267430099331721 epoch: 12784 Epoch 12784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12784With loss 0.1267430099331721 epoch: 12785 Epoch 12785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12785With loss 0.1267430099331721 epoch: 12786 Epoch 12786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12786With loss 0.1267430099331721 epoch: 12787 Epoch 12787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12787With loss 0.1267430099331721 epoch: 12788 Epoch 12788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12788With loss 0.1267430099331721 epoch: 12789 Epoch 12789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12789With loss 0.1267430099331721 epoch: 12790 Epoch 12790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12790With loss 0.1267430099331721 epoch: 12791 Epoch 12791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12791With loss 0.1267430099331721 epoch: 12792 Epoch 12792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12792With loss 0.1267430099331721 epoch: 12793 Epoch 12793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12793With loss 0.1267430099331721 epoch: 12794 Epoch 12794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12794With loss 0.1267430099331721 epoch: 12795 Epoch 12795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12795With loss 0.1267430099331721 epoch: 12796 Epoch 12796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12796With loss 0.1267430099331721 epoch: 12797 Epoch 12797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12797With loss 0.1267430099331721 epoch: 12798 Epoch 12798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12798With loss 0.1267430099331721 epoch: 12799 Epoch 12799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12799With loss 0.1267430099331721 epoch: 12800 Epoch 12800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12800With loss 0.1267430099331721 epoch: 12801 Epoch 12801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12801With loss 0.1267430099331721 epoch: 12802 Epoch 12802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12802With loss 0.1267430099331721 epoch: 12803 Epoch 12803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12803With loss 0.1267430099331721 epoch: 12804 Epoch 12804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12804With loss 0.1267430099331721 epoch: 12805 Epoch 12805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12805With loss 0.1267430099331721 epoch: 12806 Epoch 12806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12806With loss 0.1267430099331721 epoch: 12807 Epoch 12807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12807With loss 0.1267430099331721 epoch: 12808 Epoch 12808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12808With loss 0.1267430099331721 epoch: 12809 Epoch 12809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12809With loss 0.1267430099331721 epoch: 12810 Epoch 12810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12810With loss 0.1267430099331721 epoch: 12811 Epoch 12811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12811With loss 0.1267430099331721 epoch: 12812 Epoch 12812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12812With loss 0.1267430099331721 epoch: 12813 Epoch 12813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12813With loss 0.1267430099331721 epoch: 12814 Epoch 12814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12814With loss 0.1267430099331721 epoch: 12815 Epoch 12815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12815With loss 0.1267430099331721 epoch: 12816 Epoch 12816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12816With loss 0.1267430099331721 epoch: 12817 Epoch 12817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12817With loss 0.1267430099331721 epoch: 12818 Epoch 12818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12818With loss 0.1267430099331721 epoch: 12819 Epoch 12819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12819With loss 0.1267430099331721 epoch: 12820 Epoch 12820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12820With loss 0.1267430099331721 epoch: 12821 Epoch 12821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12821With loss 0.1267430099331721 epoch: 12822 Epoch 12822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12822With loss 0.1267430099331721 epoch: 12823 Epoch 12823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12823With loss 0.1267430099331721 epoch: 12824 Epoch 12824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12824With loss 0.1267430099331721 epoch: 12825 Epoch 12825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12825With loss 0.1267430099331721 epoch: 12826 Epoch 12826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12826With loss 0.1267430099331721 epoch: 12827 Epoch 12827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12827With loss 0.1267430099331721 epoch: 12828 Epoch 12828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12828With loss 0.1267430099331721 epoch: 12829 Epoch 12829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12829With loss 0.1267430099331721 epoch: 12830 Epoch 12830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12830With loss 0.1267430099331721 epoch: 12831 Epoch 12831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12831With loss 0.1267430099331721 epoch: 12832 Epoch 12832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12832With loss 0.1267430099331721 epoch: 12833 Epoch 12833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12833With loss 0.1267430099331721 epoch: 12834 Epoch 12834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12834With loss 0.1267430099331721 epoch: 12835 Epoch 12835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12835With loss 0.1267430099331721 epoch: 12836 Epoch 12836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12836With loss 0.1267430099331721 epoch: 12837 Epoch 12837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12837With loss 0.1267430099331721 epoch: 12838 Epoch 12838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12838With loss 0.1267430099331721 epoch: 12839 Epoch 12839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12839With loss 0.1267430099331721 epoch: 12840 Epoch 12840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12840With loss 0.1267430099331721 epoch: 12841 Epoch 12841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12841With loss 0.1267430099331721 epoch: 12842 Epoch 12842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12842With loss 0.1267430099331721 epoch: 12843 Epoch 12843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12843With loss 0.1267430099331721 epoch: 12844 Epoch 12844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12844With loss 0.1267430099331721 epoch: 12845 Epoch 12845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12845With loss 0.1267430099331721 epoch: 12846 Epoch 12846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12846With loss 0.1267430099331721 epoch: 12847 Epoch 12847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12847With loss 0.1267430099331721 epoch: 12848 Epoch 12848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12848With loss 0.1267430099331721 epoch: 12849 Epoch 12849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12849With loss 0.1267430099331721 epoch: 12850 Epoch 12850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12850With loss 0.1267430099331721 epoch: 12851 Epoch 12851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12851With loss 0.1267430099331721 epoch: 12852 Epoch 12852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12852With loss 0.1267430099331721 epoch: 12853 Epoch 12853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12853With loss 0.1267430099331721 epoch: 12854 Epoch 12854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12854With loss 0.1267430099331721 epoch: 12855 Epoch 12855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12855With loss 0.1267430099331721 epoch: 12856 Epoch 12856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12856With loss 0.1267430099331721 epoch: 12857 Epoch 12857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12857With loss 0.1267430099331721 epoch: 12858 Epoch 12858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12858With loss 0.1267430099331721 epoch: 12859 Epoch 12859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12859With loss 0.1267430099331721 epoch: 12860 Epoch 12860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12860With loss 0.1267430099331721 epoch: 12861 Epoch 12861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12861With loss 0.1267430099331721 epoch: 12862 Epoch 12862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12862With loss 0.1267430099331721 epoch: 12863 Epoch 12863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12863With loss 0.1267430099331721 epoch: 12864 Epoch 12864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12864With loss 0.1267430099331721 epoch: 12865 Epoch 12865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12865With loss 0.1267430099331721 epoch: 12866 Epoch 12866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12866With loss 0.1267430099331721 epoch: 12867 Epoch 12867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12867With loss 0.1267430099331721 epoch: 12868 Epoch 12868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12868With loss 0.1267430099331721 epoch: 12869 Epoch 12869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12869With loss 0.1267430099331721 epoch: 12870 Epoch 12870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12870With loss 0.1267430099331721 epoch: 12871 Epoch 12871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12871With loss 0.1267430099331721 epoch: 12872 Epoch 12872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12872With loss 0.1267430099331721 epoch: 12873 Epoch 12873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12873With loss 0.1267430099331721 epoch: 12874 Epoch 12874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12874With loss 0.1267430099331721 epoch: 12875 Epoch 12875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12875With loss 0.1267430099331721 epoch: 12876 Epoch 12876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12876With loss 0.1267430099331721 epoch: 12877 Epoch 12877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12877With loss 0.1267430099331721 epoch: 12878 Epoch 12878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12878With loss 0.1267430099331721 epoch: 12879 Epoch 12879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12879With loss 0.1267430099331721 epoch: 12880 Epoch 12880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12880With loss 0.1267430099331721 epoch: 12881 Epoch 12881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12881With loss 0.1267430099331721 epoch: 12882 Epoch 12882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12882With loss 0.1267430099331721 epoch: 12883 Epoch 12883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12883With loss 0.1267430099331721 epoch: 12884 Epoch 12884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12884With loss 0.1267430099331721 epoch: 12885 Epoch 12885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12885With loss 0.1267430099331721 epoch: 12886 Epoch 12886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12886With loss 0.1267430099331721 epoch: 12887 Epoch 12887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12887With loss 0.1267430099331721 epoch: 12888 Epoch 12888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12888With loss 0.1267430099331721 epoch: 12889 Epoch 12889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12889With loss 0.1267430099331721 epoch: 12890 Epoch 12890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12890With loss 0.1267430099331721 epoch: 12891 Epoch 12891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12891With loss 0.1267430099331721 epoch: 12892 Epoch 12892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12892With loss 0.1267430099331721 epoch: 12893 Epoch 12893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12893With loss 0.1267430099331721 epoch: 12894 Epoch 12894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12894With loss 0.1267430099331721 epoch: 12895 Epoch 12895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12895With loss 0.1267430099331721 epoch: 12896 Epoch 12896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12896With loss 0.1267430099331721 epoch: 12897 Epoch 12897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12897With loss 0.1267430099331721 epoch: 12898 Epoch 12898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12898With loss 0.1267430099331721 epoch: 12899 Epoch 12899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12899With loss 0.1267430099331721 epoch: 12900 Epoch 12900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12900With loss 0.1267430099331721 epoch: 12901 Epoch 12901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12901With loss 0.1267430099331721 epoch: 12902 Epoch 12902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12902With loss 0.1267430099331721 epoch: 12903 Epoch 12903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12903With loss 0.1267430099331721 epoch: 12904 Epoch 12904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12904With loss 0.1267430099331721 epoch: 12905 Epoch 12905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12905With loss 0.1267430099331721 epoch: 12906 Epoch 12906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12906With loss 0.1267430099331721 epoch: 12907 Epoch 12907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12907With loss 0.1267430099331721 epoch: 12908 Epoch 12908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12908With loss 0.1267430099331721 epoch: 12909 Epoch 12909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12909With loss 0.1267430099331721 epoch: 12910 Epoch 12910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12910With loss 0.1267430099331721 epoch: 12911 Epoch 12911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12911With loss 0.1267430099331721 epoch: 12912 Epoch 12912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12912With loss 0.1267430099331721 epoch: 12913 Epoch 12913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12913With loss 0.1267430099331721 epoch: 12914 Epoch 12914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12914With loss 0.1267430099331721 epoch: 12915 Epoch 12915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12915With loss 0.1267430099331721 epoch: 12916 Epoch 12916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12916With loss 0.1267430099331721 epoch: 12917 Epoch 12917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12917With loss 0.1267430099331721 epoch: 12918 Epoch 12918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12918With loss 0.1267430099331721 epoch: 12919 Epoch 12919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12919With loss 0.1267430099331721 epoch: 12920 Epoch 12920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12920With loss 0.1267430099331721 epoch: 12921 Epoch 12921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12921With loss 0.1267430099331721 epoch: 12922 Epoch 12922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12922With loss 0.1267430099331721 epoch: 12923 Epoch 12923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12923With loss 0.1267430099331721 epoch: 12924 Epoch 12924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12924With loss 0.1267430099331721 epoch: 12925 Epoch 12925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12925With loss 0.1267430099331721 epoch: 12926 Epoch 12926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12926With loss 0.1267430099331721 epoch: 12927 Epoch 12927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12927With loss 0.1267430099331721 epoch: 12928 Epoch 12928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12928With loss 0.1267430099331721 epoch: 12929 Epoch 12929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12929With loss 0.1267430099331721 epoch: 12930 Epoch 12930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12930With loss 0.1267430099331721 epoch: 12931 Epoch 12931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12931With loss 0.1267430099331721 epoch: 12932 Epoch 12932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12932With loss 0.1267430099331721 epoch: 12933 Epoch 12933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12933With loss 0.1267430099331721 epoch: 12934 Epoch 12934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12934With loss 0.1267430099331721 epoch: 12935 Epoch 12935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12935With loss 0.1267430099331721 epoch: 12936 Epoch 12936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12936With loss 0.1267430099331721 epoch: 12937 Epoch 12937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12937With loss 0.1267430099331721 epoch: 12938 Epoch 12938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12938With loss 0.1267430099331721 epoch: 12939 Epoch 12939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12939With loss 0.1267430099331721 epoch: 12940 Epoch 12940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12940With loss 0.1267430099331721 epoch: 12941 Epoch 12941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12941With loss 0.1267430099331721 epoch: 12942 Epoch 12942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12942With loss 0.1267430099331721 epoch: 12943 Epoch 12943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12943With loss 0.1267430099331721 epoch: 12944 Epoch 12944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12944With loss 0.1267430099331721 epoch: 12945 Epoch 12945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12945With loss 0.1267430099331721 epoch: 12946 Epoch 12946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12946With loss 0.1267430099331721 epoch: 12947 Epoch 12947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12947With loss 0.1267430099331721 epoch: 12948 Epoch 12948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12948With loss 0.1267430099331721 epoch: 12949 Epoch 12949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12949With loss 0.1267430099331721 epoch: 12950 Epoch 12950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12950With loss 0.1267430099331721 epoch: 12951 Epoch 12951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12951With loss 0.1267430099331721 epoch: 12952 Epoch 12952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12952With loss 0.1267430099331721 epoch: 12953 Epoch 12953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12953With loss 0.1267430099331721 epoch: 12954 Epoch 12954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12954With loss 0.1267430099331721 epoch: 12955 Epoch 12955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12955With loss 0.1267430099331721 epoch: 12956 Epoch 12956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12956With loss 0.1267430099331721 epoch: 12957 Epoch 12957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12957With loss 0.1267430099331721 epoch: 12958 Epoch 12958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12958With loss 0.1267430099331721 epoch: 12959 Epoch 12959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12959With loss 0.1267430099331721 epoch: 12960 Epoch 12960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12960With loss 0.1267430099331721 epoch: 12961 Epoch 12961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12961With loss 0.1267430099331721 epoch: 12962 Epoch 12962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12962With loss 0.1267430099331721 epoch: 12963 Epoch 12963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12963With loss 0.1267430099331721 epoch: 12964 Epoch 12964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12964With loss 0.1267430099331721 epoch: 12965 Epoch 12965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12965With loss 0.1267430099331721 epoch: 12966 Epoch 12966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12966With loss 0.1267430099331721 epoch: 12967 Epoch 12967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12967With loss 0.1267430099331721 epoch: 12968 Epoch 12968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12968With loss 0.1267430099331721 epoch: 12969 Epoch 12969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12969With loss 0.1267430099331721 epoch: 12970 Epoch 12970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12970With loss 0.1267430099331721 epoch: 12971 Epoch 12971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12971With loss 0.1267430099331721 epoch: 12972 Epoch 12972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12972With loss 0.1267430099331721 epoch: 12973 Epoch 12973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12973With loss 0.1267430099331721 epoch: 12974 Epoch 12974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12974With loss 0.1267430099331721 epoch: 12975 Epoch 12975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12975With loss 0.1267430099331721 epoch: 12976 Epoch 12976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12976With loss 0.1267430099331721 epoch: 12977 Epoch 12977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12977With loss 0.1267430099331721 epoch: 12978 Epoch 12978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12978With loss 0.1267430099331721 epoch: 12979 Epoch 12979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12979With loss 0.1267430099331721 epoch: 12980 Epoch 12980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12980With loss 0.1267430099331721 epoch: 12981 Epoch 12981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12981With loss 0.1267430099331721 epoch: 12982 Epoch 12982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12982With loss 0.1267430099331721 epoch: 12983 Epoch 12983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12983With loss 0.1267430099331721 epoch: 12984 Epoch 12984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12984With loss 0.1267430099331721 epoch: 12985 Epoch 12985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12985With loss 0.1267430099331721 epoch: 12986 Epoch 12986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12986With loss 0.1267430099331721 epoch: 12987 Epoch 12987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12987With loss 0.1267430099331721 epoch: 12988 Epoch 12988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12988With loss 0.1267430099331721 epoch: 12989 Epoch 12989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12989With loss 0.1267430099331721 epoch: 12990 Epoch 12990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12990With loss 0.1267430099331721 epoch: 12991 Epoch 12991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12991With loss 0.1267430099331721 epoch: 12992 Epoch 12992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12992With loss 0.1267430099331721 epoch: 12993 Epoch 12993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12993With loss 0.1267430099331721 epoch: 12994 Epoch 12994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12994With loss 0.1267430099331721 epoch: 12995 Epoch 12995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12995With loss 0.1267430099331721 epoch: 12996 Epoch 12996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12996With loss 0.1267430099331721 epoch: 12997 Epoch 12997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12997With loss 0.1267430099331721 epoch: 12998 Epoch 12998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12998With loss 0.1267430099331721 epoch: 12999 Epoch 12999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 12999With loss 0.1267430099331721 epoch: 13000 Epoch 13000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13000With loss 0.1267430099331721 epoch: 13001 Epoch 13001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13001With loss 0.1267430099331721 epoch: 13002 Epoch 13002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13002With loss 0.1267430099331721 epoch: 13003 Epoch 13003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13003With loss 0.1267430099331721 epoch: 13004 Epoch 13004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13004With loss 0.1267430099331721 epoch: 13005 Epoch 13005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13005With loss 0.1267430099331721 epoch: 13006 Epoch 13006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13006With loss 0.1267430099331721 epoch: 13007 Epoch 13007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13007With loss 0.1267430099331721 epoch: 13008 Epoch 13008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13008With loss 0.1267430099331721 epoch: 13009 Epoch 13009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13009With loss 0.1267430099331721 epoch: 13010 Epoch 13010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13010With loss 0.1267430099331721 epoch: 13011 Epoch 13011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13011With loss 0.1267430099331721 epoch: 13012 Epoch 13012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13012With loss 0.1267430099331721 epoch: 13013 Epoch 13013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13013With loss 0.1267430099331721 epoch: 13014 Epoch 13014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13014With loss 0.1267430099331721 epoch: 13015 Epoch 13015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13015With loss 0.1267430099331721 epoch: 13016 Epoch 13016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13016With loss 0.1267430099331721 epoch: 13017 Epoch 13017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13017With loss 0.1267430099331721 epoch: 13018 Epoch 13018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13018With loss 0.1267430099331721 epoch: 13019 Epoch 13019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13019With loss 0.1267430099331721 epoch: 13020 Epoch 13020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13020With loss 0.1267430099331721 epoch: 13021 Epoch 13021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13021With loss 0.1267430099331721 epoch: 13022 Epoch 13022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13022With loss 0.1267430099331721 epoch: 13023 Epoch 13023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13023With loss 0.1267430099331721 epoch: 13024 Epoch 13024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13024With loss 0.1267430099331721 epoch: 13025 Epoch 13025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13025With loss 0.1267430099331721 epoch: 13026 Epoch 13026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13026With loss 0.1267430099331721 epoch: 13027 Epoch 13027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13027With loss 0.1267430099331721 epoch: 13028 Epoch 13028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13028With loss 0.1267430099331721 epoch: 13029 Epoch 13029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13029With loss 0.1267430099331721 epoch: 13030 Epoch 13030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13030With loss 0.1267430099331721 epoch: 13031 Epoch 13031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13031With loss 0.1267430099331721 epoch: 13032 Epoch 13032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13032With loss 0.1267430099331721 epoch: 13033 Epoch 13033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13033With loss 0.1267430099331721 epoch: 13034 Epoch 13034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13034With loss 0.1267430099331721 epoch: 13035 Epoch 13035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13035With loss 0.1267430099331721 epoch: 13036 Epoch 13036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13036With loss 0.1267430099331721 epoch: 13037 Epoch 13037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13037With loss 0.1267430099331721 epoch: 13038 Epoch 13038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13038With loss 0.1267430099331721 epoch: 13039 Epoch 13039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13039With loss 0.1267430099331721 epoch: 13040 Epoch 13040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13040With loss 0.1267430099331721 epoch: 13041 Epoch 13041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13041With loss 0.1267430099331721 epoch: 13042 Epoch 13042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13042With loss 0.1267430099331721 epoch: 13043 Epoch 13043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13043With loss 0.1267430099331721 epoch: 13044 Epoch 13044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13044With loss 0.1267430099331721 epoch: 13045 Epoch 13045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13045With loss 0.1267430099331721 epoch: 13046 Epoch 13046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13046With loss 0.1267430099331721 epoch: 13047 Epoch 13047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13047With loss 0.1267430099331721 epoch: 13048 Epoch 13048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13048With loss 0.1267430099331721 epoch: 13049 Epoch 13049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13049With loss 0.1267430099331721 epoch: 13050 Epoch 13050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13050With loss 0.1267430099331721 epoch: 13051 Epoch 13051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13051With loss 0.1267430099331721 epoch: 13052 Epoch 13052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13052With loss 0.1267430099331721 epoch: 13053 Epoch 13053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13053With loss 0.1267430099331721 epoch: 13054 Epoch 13054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13054With loss 0.1267430099331721 epoch: 13055 Epoch 13055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13055With loss 0.1267430099331721 epoch: 13056 Epoch 13056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13056With loss 0.1267430099331721 epoch: 13057 Epoch 13057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13057With loss 0.1267430099331721 epoch: 13058 Epoch 13058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13058With loss 0.1267430099331721 epoch: 13059 Epoch 13059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13059With loss 0.1267430099331721 epoch: 13060 Epoch 13060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13060With loss 0.1267430099331721 epoch: 13061 Epoch 13061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13061With loss 0.1267430099331721 epoch: 13062 Epoch 13062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13062With loss 0.1267430099331721 epoch: 13063 Epoch 13063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13063With loss 0.1267430099331721 epoch: 13064 Epoch 13064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13064With loss 0.1267430099331721 epoch: 13065 Epoch 13065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13065With loss 0.1267430099331721 epoch: 13066 Epoch 13066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13066With loss 0.1267430099331721 epoch: 13067 Epoch 13067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13067With loss 0.1267430099331721 epoch: 13068 Epoch 13068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13068With loss 0.1267430099331721 epoch: 13069 Epoch 13069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13069With loss 0.1267430099331721 epoch: 13070 Epoch 13070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13070With loss 0.1267430099331721 epoch: 13071 Epoch 13071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13071With loss 0.1267430099331721 epoch: 13072 Epoch 13072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13072With loss 0.1267430099331721 epoch: 13073 Epoch 13073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13073With loss 0.1267430099331721 epoch: 13074 Epoch 13074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13074With loss 0.1267430099331721 epoch: 13075 Epoch 13075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13075With loss 0.1267430099331721 epoch: 13076 Epoch 13076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13076With loss 0.1267430099331721 epoch: 13077 Epoch 13077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13077With loss 0.1267430099331721 epoch: 13078 Epoch 13078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13078With loss 0.1267430099331721 epoch: 13079 Epoch 13079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13079With loss 0.1267430099331721 epoch: 13080 Epoch 13080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13080With loss 0.1267430099331721 epoch: 13081 Epoch 13081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13081With loss 0.1267430099331721 epoch: 13082 Epoch 13082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13082With loss 0.1267430099331721 epoch: 13083 Epoch 13083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13083With loss 0.1267430099331721 epoch: 13084 Epoch 13084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13084With loss 0.1267430099331721 epoch: 13085 Epoch 13085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13085With loss 0.1267430099331721 epoch: 13086 Epoch 13086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13086With loss 0.1267430099331721 epoch: 13087 Epoch 13087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13087With loss 0.1267430099331721 epoch: 13088 Epoch 13088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13088With loss 0.1267430099331721 epoch: 13089 Epoch 13089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13089With loss 0.1267430099331721 epoch: 13090 Epoch 13090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13090With loss 0.1267430099331721 epoch: 13091 Epoch 13091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13091With loss 0.1267430099331721 epoch: 13092 Epoch 13092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13092With loss 0.1267430099331721 epoch: 13093 Epoch 13093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13093With loss 0.1267430099331721 epoch: 13094 Epoch 13094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13094With loss 0.1267430099331721 epoch: 13095 Epoch 13095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13095With loss 0.1267430099331721 epoch: 13096 Epoch 13096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13096With loss 0.1267430099331721 epoch: 13097 Epoch 13097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13097With loss 0.1267430099331721 epoch: 13098 Epoch 13098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13098With loss 0.1267430099331721 epoch: 13099 Epoch 13099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13099With loss 0.1267430099331721 epoch: 13100 Epoch 13100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13100With loss 0.1267430099331721 epoch: 13101 Epoch 13101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13101With loss 0.1267430099331721 epoch: 13102 Epoch 13102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13102With loss 0.1267430099331721 epoch: 13103 Epoch 13103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13103With loss 0.1267430099331721 epoch: 13104 Epoch 13104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13104With loss 0.1267430099331721 epoch: 13105 Epoch 13105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13105With loss 0.1267430099331721 epoch: 13106 Epoch 13106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13106With loss 0.1267430099331721 epoch: 13107 Epoch 13107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13107With loss 0.1267430099331721 epoch: 13108 Epoch 13108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13108With loss 0.1267430099331721 epoch: 13109 Epoch 13109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13109With loss 0.1267430099331721 epoch: 13110 Epoch 13110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13110With loss 0.1267430099331721 epoch: 13111 Epoch 13111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13111With loss 0.1267430099331721 epoch: 13112 Epoch 13112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13112With loss 0.1267430099331721 epoch: 13113 Epoch 13113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13113With loss 0.1267430099331721 epoch: 13114 Epoch 13114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13114With loss 0.1267430099331721 epoch: 13115 Epoch 13115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13115With loss 0.1267430099331721 epoch: 13116 Epoch 13116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13116With loss 0.1267430099331721 epoch: 13117 Epoch 13117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13117With loss 0.1267430099331721 epoch: 13118 Epoch 13118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13118With loss 0.1267430099331721 epoch: 13119 Epoch 13119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13119With loss 0.1267430099331721 epoch: 13120 Epoch 13120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13120With loss 0.1267430099331721 epoch: 13121 Epoch 13121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13121With loss 0.1267430099331721 epoch: 13122 Epoch 13122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13122With loss 0.1267430099331721 epoch: 13123 Epoch 13123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13123With loss 0.1267430099331721 epoch: 13124 Epoch 13124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13124With loss 0.1267430099331721 epoch: 13125 Epoch 13125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13125With loss 0.1267430099331721 epoch: 13126 Epoch 13126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13126With loss 0.1267430099331721 epoch: 13127 Epoch 13127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13127With loss 0.1267430099331721 epoch: 13128 Epoch 13128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13128With loss 0.1267430099331721 epoch: 13129 Epoch 13129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13129With loss 0.1267430099331721 epoch: 13130 Epoch 13130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13130With loss 0.1267430099331721 epoch: 13131 Epoch 13131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13131With loss 0.1267430099331721 epoch: 13132 Epoch 13132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13132With loss 0.1267430099331721 epoch: 13133 Epoch 13133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13133With loss 0.1267430099331721 epoch: 13134 Epoch 13134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13134With loss 0.1267430099331721 epoch: 13135 Epoch 13135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13135With loss 0.1267430099331721 epoch: 13136 Epoch 13136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13136With loss 0.1267430099331721 epoch: 13137 Epoch 13137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13137With loss 0.1267430099331721 epoch: 13138 Epoch 13138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13138With loss 0.1267430099331721 epoch: 13139 Epoch 13139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13139With loss 0.1267430099331721 epoch: 13140 Epoch 13140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13140With loss 0.1267430099331721 epoch: 13141 Epoch 13141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13141With loss 0.1267430099331721 epoch: 13142 Epoch 13142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13142With loss 0.1267430099331721 epoch: 13143 Epoch 13143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13143With loss 0.1267430099331721 epoch: 13144 Epoch 13144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13144With loss 0.1267430099331721 epoch: 13145 Epoch 13145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13145With loss 0.1267430099331721 epoch: 13146 Epoch 13146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13146With loss 0.1267430099331721 epoch: 13147 Epoch 13147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13147With loss 0.1267430099331721 epoch: 13148 Epoch 13148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13148With loss 0.1267430099331721 epoch: 13149 Epoch 13149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13149With loss 0.1267430099331721 epoch: 13150 Epoch 13150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13150With loss 0.1267430099331721 epoch: 13151 Epoch 13151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13151With loss 0.1267430099331721 epoch: 13152 Epoch 13152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13152With loss 0.1267430099331721 epoch: 13153 Epoch 13153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13153With loss 0.1267430099331721 epoch: 13154 Epoch 13154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13154With loss 0.1267430099331721 epoch: 13155 Epoch 13155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13155With loss 0.1267430099331721 epoch: 13156 Epoch 13156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13156With loss 0.1267430099331721 epoch: 13157 Epoch 13157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13157With loss 0.1267430099331721 epoch: 13158 Epoch 13158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13158With loss 0.1267430099331721 epoch: 13159 Epoch 13159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13159With loss 0.1267430099331721 epoch: 13160 Epoch 13160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13160With loss 0.1267430099331721 epoch: 13161 Epoch 13161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13161With loss 0.1267430099331721 epoch: 13162 Epoch 13162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13162With loss 0.1267430099331721 epoch: 13163 Epoch 13163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13163With loss 0.1267430099331721 epoch: 13164 Epoch 13164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13164With loss 0.1267430099331721 epoch: 13165 Epoch 13165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13165With loss 0.1267430099331721 epoch: 13166 Epoch 13166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13166With loss 0.1267430099331721 epoch: 13167 Epoch 13167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13167With loss 0.1267430099331721 epoch: 13168 Epoch 13168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13168With loss 0.1267430099331721 epoch: 13169 Epoch 13169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13169With loss 0.1267430099331721 epoch: 13170 Epoch 13170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13170With loss 0.1267430099331721 epoch: 13171 Epoch 13171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13171With loss 0.1267430099331721 epoch: 13172 Epoch 13172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13172With loss 0.1267430099331721 epoch: 13173 Epoch 13173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13173With loss 0.1267430099331721 epoch: 13174 Epoch 13174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13174With loss 0.1267430099331721 epoch: 13175 Epoch 13175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13175With loss 0.1267430099331721 epoch: 13176 Epoch 13176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13176With loss 0.1267430099331721 epoch: 13177 Epoch 13177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13177With loss 0.1267430099331721 epoch: 13178 Epoch 13178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13178With loss 0.1267430099331721 epoch: 13179 Epoch 13179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13179With loss 0.1267430099331721 epoch: 13180 Epoch 13180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13180With loss 0.1267430099331721 epoch: 13181 Epoch 13181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13181With loss 0.1267430099331721 epoch: 13182 Epoch 13182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13182With loss 0.1267430099331721 epoch: 13183 Epoch 13183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13183With loss 0.1267430099331721 epoch: 13184 Epoch 13184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13184With loss 0.1267430099331721 epoch: 13185 Epoch 13185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13185With loss 0.1267430099331721 epoch: 13186 Epoch 13186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13186With loss 0.1267430099331721 epoch: 13187 Epoch 13187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13187With loss 0.1267430099331721 epoch: 13188 Epoch 13188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13188With loss 0.1267430099331721 epoch: 13189 Epoch 13189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13189With loss 0.1267430099331721 epoch: 13190 Epoch 13190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13190With loss 0.1267430099331721 epoch: 13191 Epoch 13191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13191With loss 0.1267430099331721 epoch: 13192 Epoch 13192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13192With loss 0.1267430099331721 epoch: 13193 Epoch 13193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13193With loss 0.1267430099331721 epoch: 13194 Epoch 13194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13194With loss 0.1267430099331721 epoch: 13195 Epoch 13195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13195With loss 0.1267430099331721 epoch: 13196 Epoch 13196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13196With loss 0.1267430099331721 epoch: 13197 Epoch 13197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13197With loss 0.1267430099331721 epoch: 13198 Epoch 13198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13198With loss 0.1267430099331721 epoch: 13199 Epoch 13199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13199With loss 0.1267430099331721 epoch: 13200 Epoch 13200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13200With loss 0.1267430099331721 epoch: 13201 Epoch 13201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13201With loss 0.1267430099331721 epoch: 13202 Epoch 13202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13202With loss 0.1267430099331721 epoch: 13203 Epoch 13203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13203With loss 0.1267430099331721 epoch: 13204 Epoch 13204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13204With loss 0.1267430099331721 epoch: 13205 Epoch 13205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13205With loss 0.1267430099331721 epoch: 13206 Epoch 13206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13206With loss 0.1267430099331721 epoch: 13207 Epoch 13207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13207With loss 0.1267430099331721 epoch: 13208 Epoch 13208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13208With loss 0.1267430099331721 epoch: 13209 Epoch 13209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13209With loss 0.1267430099331721 epoch: 13210 Epoch 13210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13210With loss 0.1267430099331721 epoch: 13211 Epoch 13211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13211With loss 0.1267430099331721 epoch: 13212 Epoch 13212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13212With loss 0.1267430099331721 epoch: 13213 Epoch 13213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13213With loss 0.1267430099331721 epoch: 13214 Epoch 13214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13214With loss 0.1267430099331721 epoch: 13215 Epoch 13215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13215With loss 0.1267430099331721 epoch: 13216 Epoch 13216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13216With loss 0.1267430099331721 epoch: 13217 Epoch 13217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13217With loss 0.1267430099331721 epoch: 13218 Epoch 13218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13218With loss 0.1267430099331721 epoch: 13219 Epoch 13219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13219With loss 0.1267430099331721 epoch: 13220 Epoch 13220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13220With loss 0.1267430099331721 epoch: 13221 Epoch 13221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13221With loss 0.1267430099331721 epoch: 13222 Epoch 13222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13222With loss 0.1267430099331721 epoch: 13223 Epoch 13223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13223With loss 0.1267430099331721 epoch: 13224 Epoch 13224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13224With loss 0.1267430099331721 epoch: 13225 Epoch 13225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13225With loss 0.1267430099331721 epoch: 13226 Epoch 13226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13226With loss 0.1267430099331721 epoch: 13227 Epoch 13227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13227With loss 0.1267430099331721 epoch: 13228 Epoch 13228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13228With loss 0.1267430099331721 epoch: 13229 Epoch 13229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13229With loss 0.1267430099331721 epoch: 13230 Epoch 13230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13230With loss 0.1267430099331721 epoch: 13231 Epoch 13231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13231With loss 0.1267430099331721 epoch: 13232 Epoch 13232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13232With loss 0.1267430099331721 epoch: 13233 Epoch 13233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13233With loss 0.1267430099331721 epoch: 13234 Epoch 13234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13234With loss 0.1267430099331721 epoch: 13235 Epoch 13235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13235With loss 0.1267430099331721 epoch: 13236 Epoch 13236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13236With loss 0.1267430099331721 epoch: 13237 Epoch 13237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13237With loss 0.1267430099331721 epoch: 13238 Epoch 13238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13238With loss 0.1267430099331721 epoch: 13239 Epoch 13239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13239With loss 0.1267430099331721 epoch: 13240 Epoch 13240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13240With loss 0.1267430099331721 epoch: 13241 Epoch 13241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13241With loss 0.1267430099331721 epoch: 13242 Epoch 13242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13242With loss 0.1267430099331721 epoch: 13243 Epoch 13243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13243With loss 0.1267430099331721 epoch: 13244 Epoch 13244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13244With loss 0.1267430099331721 epoch: 13245 Epoch 13245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13245With loss 0.1267430099331721 epoch: 13246 Epoch 13246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13246With loss 0.1267430099331721 epoch: 13247 Epoch 13247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13247With loss 0.1267430099331721 epoch: 13248 Epoch 13248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13248With loss 0.1267430099331721 epoch: 13249 Epoch 13249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13249With loss 0.1267430099331721 epoch: 13250 Epoch 13250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13250With loss 0.1267430099331721 epoch: 13251 Epoch 13251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13251With loss 0.1267430099331721 epoch: 13252 Epoch 13252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13252With loss 0.1267430099331721 epoch: 13253 Epoch 13253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13253With loss 0.1267430099331721 epoch: 13254 Epoch 13254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13254With loss 0.1267430099331721 epoch: 13255 Epoch 13255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13255With loss 0.1267430099331721 epoch: 13256 Epoch 13256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13256With loss 0.1267430099331721 epoch: 13257 Epoch 13257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13257With loss 0.1267430099331721 epoch: 13258 Epoch 13258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13258With loss 0.1267430099331721 epoch: 13259 Epoch 13259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13259With loss 0.1267430099331721 epoch: 13260 Epoch 13260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13260With loss 0.1267430099331721 epoch: 13261 Epoch 13261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13261With loss 0.1267430099331721 epoch: 13262 Epoch 13262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13262With loss 0.1267430099331721 epoch: 13263 Epoch 13263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13263With loss 0.1267430099331721 epoch: 13264 Epoch 13264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13264With loss 0.1267430099331721 epoch: 13265 Epoch 13265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13265With loss 0.1267430099331721 epoch: 13266 Epoch 13266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13266With loss 0.1267430099331721 epoch: 13267 Epoch 13267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13267With loss 0.1267430099331721 epoch: 13268 Epoch 13268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13268With loss 0.1267430099331721 epoch: 13269 Epoch 13269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13269With loss 0.1267430099331721 epoch: 13270 Epoch 13270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13270With loss 0.1267430099331721 epoch: 13271 Epoch 13271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13271With loss 0.1267430099331721 epoch: 13272 Epoch 13272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13272With loss 0.1267430099331721 epoch: 13273 Epoch 13273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13273With loss 0.1267430099331721 epoch: 13274 Epoch 13274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13274With loss 0.1267430099331721 epoch: 13275 Epoch 13275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13275With loss 0.1267430099331721 epoch: 13276 Epoch 13276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13276With loss 0.1267430099331721 epoch: 13277 Epoch 13277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13277With loss 0.1267430099331721 epoch: 13278 Epoch 13278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13278With loss 0.1267430099331721 epoch: 13279 Epoch 13279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13279With loss 0.1267430099331721 epoch: 13280 Epoch 13280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13280With loss 0.1267430099331721 epoch: 13281 Epoch 13281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13281With loss 0.1267430099331721 epoch: 13282 Epoch 13282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13282With loss 0.1267430099331721 epoch: 13283 Epoch 13283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13283With loss 0.1267430099331721 epoch: 13284 Epoch 13284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13284With loss 0.1267430099331721 epoch: 13285 Epoch 13285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13285With loss 0.1267430099331721 epoch: 13286 Epoch 13286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13286With loss 0.1267430099331721 epoch: 13287 Epoch 13287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13287With loss 0.1267430099331721 epoch: 13288 Epoch 13288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13288With loss 0.1267430099331721 epoch: 13289 Epoch 13289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13289With loss 0.1267430099331721 epoch: 13290 Epoch 13290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13290With loss 0.1267430099331721 epoch: 13291 Epoch 13291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13291With loss 0.1267430099331721 epoch: 13292 Epoch 13292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13292With loss 0.1267430099331721 epoch: 13293 Epoch 13293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13293With loss 0.1267430099331721 epoch: 13294 Epoch 13294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13294With loss 0.1267430099331721 epoch: 13295 Epoch 13295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13295With loss 0.1267430099331721 epoch: 13296 Epoch 13296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13296With loss 0.1267430099331721 epoch: 13297 Epoch 13297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13297With loss 0.1267430099331721 epoch: 13298 Epoch 13298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13298With loss 0.1267430099331721 epoch: 13299 Epoch 13299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13299With loss 0.1267430099331721 epoch: 13300 Epoch 13300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13300With loss 0.1267430099331721 epoch: 13301 Epoch 13301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13301With loss 0.1267430099331721 epoch: 13302 Epoch 13302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13302With loss 0.1267430099331721 epoch: 13303 Epoch 13303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13303With loss 0.1267430099331721 epoch: 13304 Epoch 13304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13304With loss 0.1267430099331721 epoch: 13305 Epoch 13305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13305With loss 0.1267430099331721 epoch: 13306 Epoch 13306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13306With loss 0.1267430099331721 epoch: 13307 Epoch 13307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13307With loss 0.1267430099331721 epoch: 13308 Epoch 13308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13308With loss 0.1267430099331721 epoch: 13309 Epoch 13309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13309With loss 0.1267430099331721 epoch: 13310 Epoch 13310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13310With loss 0.1267430099331721 epoch: 13311 Epoch 13311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13311With loss 0.1267430099331721 epoch: 13312 Epoch 13312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13312With loss 0.1267430099331721 epoch: 13313 Epoch 13313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13313With loss 0.1267430099331721 epoch: 13314 Epoch 13314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13314With loss 0.1267430099331721 epoch: 13315 Epoch 13315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13315With loss 0.1267430099331721 epoch: 13316 Epoch 13316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13316With loss 0.1267430099331721 epoch: 13317 Epoch 13317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13317With loss 0.1267430099331721 epoch: 13318 Epoch 13318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13318With loss 0.1267430099331721 epoch: 13319 Epoch 13319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13319With loss 0.1267430099331721 epoch: 13320 Epoch 13320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13320With loss 0.1267430099331721 epoch: 13321 Epoch 13321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13321With loss 0.1267430099331721 epoch: 13322 Epoch 13322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13322With loss 0.1267430099331721 epoch: 13323 Epoch 13323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13323With loss 0.1267430099331721 epoch: 13324 Epoch 13324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13324With loss 0.1267430099331721 epoch: 13325 Epoch 13325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13325With loss 0.1267430099331721 epoch: 13326 Epoch 13326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13326With loss 0.1267430099331721 epoch: 13327 Epoch 13327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13327With loss 0.1267430099331721 epoch: 13328 Epoch 13328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13328With loss 0.1267430099331721 epoch: 13329 Epoch 13329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13329With loss 0.1267430099331721 epoch: 13330 Epoch 13330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13330With loss 0.1267430099331721 epoch: 13331 Epoch 13331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13331With loss 0.1267430099331721 epoch: 13332 Epoch 13332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13332With loss 0.1267430099331721 epoch: 13333 Epoch 13333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13333With loss 0.1267430099331721 epoch: 13334 Epoch 13334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13334With loss 0.1267430099331721 epoch: 13335 Epoch 13335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13335With loss 0.1267430099331721 epoch: 13336 Epoch 13336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13336With loss 0.1267430099331721 epoch: 13337 Epoch 13337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13337With loss 0.1267430099331721 epoch: 13338 Epoch 13338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13338With loss 0.1267430099331721 epoch: 13339 Epoch 13339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13339With loss 0.1267430099331721 epoch: 13340 Epoch 13340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13340With loss 0.1267430099331721 epoch: 13341 Epoch 13341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13341With loss 0.1267430099331721 epoch: 13342 Epoch 13342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13342With loss 0.1267430099331721 epoch: 13343 Epoch 13343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13343With loss 0.1267430099331721 epoch: 13344 Epoch 13344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13344With loss 0.1267430099331721 epoch: 13345 Epoch 13345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13345With loss 0.1267430099331721 epoch: 13346 Epoch 13346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13346With loss 0.1267430099331721 epoch: 13347 Epoch 13347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13347With loss 0.1267430099331721 epoch: 13348 Epoch 13348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13348With loss 0.1267430099331721 epoch: 13349 Epoch 13349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13349With loss 0.1267430099331721 epoch: 13350 Epoch 13350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13350With loss 0.1267430099331721 epoch: 13351 Epoch 13351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13351With loss 0.1267430099331721 epoch: 13352 Epoch 13352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13352With loss 0.1267430099331721 epoch: 13353 Epoch 13353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13353With loss 0.1267430099331721 epoch: 13354 Epoch 13354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13354With loss 0.1267430099331721 epoch: 13355 Epoch 13355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13355With loss 0.1267430099331721 epoch: 13356 Epoch 13356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13356With loss 0.1267430099331721 epoch: 13357 Epoch 13357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13357With loss 0.1267430099331721 epoch: 13358 Epoch 13358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13358With loss 0.1267430099331721 epoch: 13359 Epoch 13359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13359With loss 0.1267430099331721 epoch: 13360 Epoch 13360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13360With loss 0.1267430099331721 epoch: 13361 Epoch 13361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13361With loss 0.1267430099331721 epoch: 13362 Epoch 13362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13362With loss 0.1267430099331721 epoch: 13363 Epoch 13363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13363With loss 0.1267430099331721 epoch: 13364 Epoch 13364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13364With loss 0.1267430099331721 epoch: 13365 Epoch 13365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13365With loss 0.1267430099331721 epoch: 13366 Epoch 13366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13366With loss 0.1267430099331721 epoch: 13367 Epoch 13367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13367With loss 0.1267430099331721 epoch: 13368 Epoch 13368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13368With loss 0.1267430099331721 epoch: 13369 Epoch 13369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13369With loss 0.1267430099331721 epoch: 13370 Epoch 13370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13370With loss 0.1267430099331721 epoch: 13371 Epoch 13371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13371With loss 0.1267430099331721 epoch: 13372 Epoch 13372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13372With loss 0.1267430099331721 epoch: 13373 Epoch 13373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13373With loss 0.1267430099331721 epoch: 13374 Epoch 13374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13374With loss 0.1267430099331721 epoch: 13375 Epoch 13375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13375With loss 0.1267430099331721 epoch: 13376 Epoch 13376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13376With loss 0.1267430099331721 epoch: 13377 Epoch 13377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13377With loss 0.1267430099331721 epoch: 13378 Epoch 13378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13378With loss 0.1267430099331721 epoch: 13379 Epoch 13379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13379With loss 0.1267430099331721 epoch: 13380 Epoch 13380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13380With loss 0.1267430099331721 epoch: 13381 Epoch 13381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13381With loss 0.1267430099331721 epoch: 13382 Epoch 13382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13382With loss 0.1267430099331721 epoch: 13383 Epoch 13383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13383With loss 0.1267430099331721 epoch: 13384 Epoch 13384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13384With loss 0.1267430099331721 epoch: 13385 Epoch 13385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13385With loss 0.1267430099331721 epoch: 13386 Epoch 13386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13386With loss 0.1267430099331721 epoch: 13387 Epoch 13387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13387With loss 0.1267430099331721 epoch: 13388 Epoch 13388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13388With loss 0.1267430099331721 epoch: 13389 Epoch 13389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13389With loss 0.1267430099331721 epoch: 13390 Epoch 13390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13390With loss 0.1267430099331721 epoch: 13391 Epoch 13391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13391With loss 0.1267430099331721 epoch: 13392 Epoch 13392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13392With loss 0.1267430099331721 epoch: 13393 Epoch 13393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13393With loss 0.1267430099331721 epoch: 13394 Epoch 13394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13394With loss 0.1267430099331721 epoch: 13395 Epoch 13395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13395With loss 0.1267430099331721 epoch: 13396 Epoch 13396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13396With loss 0.1267430099331721 epoch: 13397 Epoch 13397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13397With loss 0.1267430099331721 epoch: 13398 Epoch 13398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13398With loss 0.1267430099331721 epoch: 13399 Epoch 13399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13399With loss 0.1267430099331721 epoch: 13400 Epoch 13400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13400With loss 0.1267430099331721 epoch: 13401 Epoch 13401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13401With loss 0.1267430099331721 epoch: 13402 Epoch 13402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13402With loss 0.1267430099331721 epoch: 13403 Epoch 13403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13403With loss 0.1267430099331721 epoch: 13404 Epoch 13404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13404With loss 0.1267430099331721 epoch: 13405 Epoch 13405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13405With loss 0.1267430099331721 epoch: 13406 Epoch 13406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13406With loss 0.1267430099331721 epoch: 13407 Epoch 13407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13407With loss 0.1267430099331721 epoch: 13408 Epoch 13408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13408With loss 0.1267430099331721 epoch: 13409 Epoch 13409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13409With loss 0.1267430099331721 epoch: 13410 Epoch 13410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13410With loss 0.1267430099331721 epoch: 13411 Epoch 13411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13411With loss 0.1267430099331721 epoch: 13412 Epoch 13412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13412With loss 0.1267430099331721 epoch: 13413 Epoch 13413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13413With loss 0.1267430099331721 epoch: 13414 Epoch 13414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13414With loss 0.1267430099331721 epoch: 13415 Epoch 13415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13415With loss 0.1267430099331721 epoch: 13416 Epoch 13416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13416With loss 0.1267430099331721 epoch: 13417 Epoch 13417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13417With loss 0.1267430099331721 epoch: 13418 Epoch 13418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13418With loss 0.1267430099331721 epoch: 13419 Epoch 13419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13419With loss 0.1267430099331721 epoch: 13420 Epoch 13420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13420With loss 0.1267430099331721 epoch: 13421 Epoch 13421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13421With loss 0.1267430099331721 epoch: 13422 Epoch 13422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13422With loss 0.1267430099331721 epoch: 13423 Epoch 13423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13423With loss 0.1267430099331721 epoch: 13424 Epoch 13424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13424With loss 0.1267430099331721 epoch: 13425 Epoch 13425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13425With loss 0.1267430099331721 epoch: 13426 Epoch 13426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13426With loss 0.1267430099331721 epoch: 13427 Epoch 13427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13427With loss 0.1267430099331721 epoch: 13428 Epoch 13428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13428With loss 0.1267430099331721 epoch: 13429 Epoch 13429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13429With loss 0.1267430099331721 epoch: 13430 Epoch 13430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13430With loss 0.1267430099331721 epoch: 13431 Epoch 13431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13431With loss 0.1267430099331721 epoch: 13432 Epoch 13432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13432With loss 0.1267430099331721 epoch: 13433 Epoch 13433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13433With loss 0.1267430099331721 epoch: 13434 Epoch 13434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13434With loss 0.1267430099331721 epoch: 13435 Epoch 13435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13435With loss 0.1267430099331721 epoch: 13436 Epoch 13436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13436With loss 0.1267430099331721 epoch: 13437 Epoch 13437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13437With loss 0.1267430099331721 epoch: 13438 Epoch 13438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13438With loss 0.1267430099331721 epoch: 13439 Epoch 13439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13439With loss 0.1267430099331721 epoch: 13440 Epoch 13440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13440With loss 0.1267430099331721 epoch: 13441 Epoch 13441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13441With loss 0.1267430099331721 epoch: 13442 Epoch 13442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13442With loss 0.1267430099331721 epoch: 13443 Epoch 13443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13443With loss 0.1267430099331721 epoch: 13444 Epoch 13444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13444With loss 0.1267430099331721 epoch: 13445 Epoch 13445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13445With loss 0.1267430099331721 epoch: 13446 Epoch 13446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13446With loss 0.1267430099331721 epoch: 13447 Epoch 13447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13447With loss 0.1267430099331721 epoch: 13448 Epoch 13448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13448With loss 0.1267430099331721 epoch: 13449 Epoch 13449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13449With loss 0.1267430099331721 epoch: 13450 Epoch 13450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13450With loss 0.1267430099331721 epoch: 13451 Epoch 13451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13451With loss 0.1267430099331721 epoch: 13452 Epoch 13452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13452With loss 0.1267430099331721 epoch: 13453 Epoch 13453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13453With loss 0.1267430099331721 epoch: 13454 Epoch 13454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13454With loss 0.1267430099331721 epoch: 13455 Epoch 13455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13455With loss 0.1267430099331721 epoch: 13456 Epoch 13456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13456With loss 0.1267430099331721 epoch: 13457 Epoch 13457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13457With loss 0.1267430099331721 epoch: 13458 Epoch 13458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13458With loss 0.1267430099331721 epoch: 13459 Epoch 13459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13459With loss 0.1267430099331721 epoch: 13460 Epoch 13460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13460With loss 0.1267430099331721 epoch: 13461 Epoch 13461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13461With loss 0.1267430099331721 epoch: 13462 Epoch 13462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13462With loss 0.1267430099331721 epoch: 13463 Epoch 13463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13463With loss 0.1267430099331721 epoch: 13464 Epoch 13464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13464With loss 0.1267430099331721 epoch: 13465 Epoch 13465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13465With loss 0.1267430099331721 epoch: 13466 Epoch 13466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13466With loss 0.1267430099331721 epoch: 13467 Epoch 13467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13467With loss 0.1267430099331721 epoch: 13468 Epoch 13468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13468With loss 0.1267430099331721 epoch: 13469 Epoch 13469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13469With loss 0.1267430099331721 epoch: 13470 Epoch 13470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13470With loss 0.1267430099331721 epoch: 13471 Epoch 13471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13471With loss 0.1267430099331721 epoch: 13472 Epoch 13472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13472With loss 0.1267430099331721 epoch: 13473 Epoch 13473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13473With loss 0.1267430099331721 epoch: 13474 Epoch 13474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13474With loss 0.1267430099331721 epoch: 13475 Epoch 13475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13475With loss 0.1267430099331721 epoch: 13476 Epoch 13476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13476With loss 0.1267430099331721 epoch: 13477 Epoch 13477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13477With loss 0.1267430099331721 epoch: 13478 Epoch 13478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13478With loss 0.1267430099331721 epoch: 13479 Epoch 13479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13479With loss 0.1267430099331721 epoch: 13480 Epoch 13480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13480With loss 0.1267430099331721 epoch: 13481 Epoch 13481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13481With loss 0.1267430099331721 epoch: 13482 Epoch 13482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13482With loss 0.1267430099331721 epoch: 13483 Epoch 13483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13483With loss 0.1267430099331721 epoch: 13484 Epoch 13484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13484With loss 0.1267430099331721 epoch: 13485 Epoch 13485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13485With loss 0.1267430099331721 epoch: 13486 Epoch 13486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13486With loss 0.1267430099331721 epoch: 13487 Epoch 13487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13487With loss 0.1267430099331721 epoch: 13488 Epoch 13488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13488With loss 0.1267430099331721 epoch: 13489 Epoch 13489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13489With loss 0.1267430099331721 epoch: 13490 Epoch 13490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13490With loss 0.1267430099331721 epoch: 13491 Epoch 13491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13491With loss 0.1267430099331721 epoch: 13492 Epoch 13492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13492With loss 0.1267430099331721 epoch: 13493 Epoch 13493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13493With loss 0.1267430099331721 epoch: 13494 Epoch 13494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13494With loss 0.1267430099331721 epoch: 13495 Epoch 13495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13495With loss 0.1267430099331721 epoch: 13496 Epoch 13496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13496With loss 0.1267430099331721 epoch: 13497 Epoch 13497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13497With loss 0.1267430099331721 epoch: 13498 Epoch 13498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13498With loss 0.1267430099331721 epoch: 13499 Epoch 13499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13499With loss 0.1267430099331721 epoch: 13500 Epoch 13500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13500With loss 0.1267430099331721 epoch: 13501 Epoch 13501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13501With loss 0.1267430099331721 epoch: 13502 Epoch 13502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13502With loss 0.1267430099331721 epoch: 13503 Epoch 13503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13503With loss 0.1267430099331721 epoch: 13504 Epoch 13504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13504With loss 0.1267430099331721 epoch: 13505 Epoch 13505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13505With loss 0.1267430099331721 epoch: 13506 Epoch 13506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13506With loss 0.1267430099331721 epoch: 13507 Epoch 13507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13507With loss 0.1267430099331721 epoch: 13508 Epoch 13508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13508With loss 0.1267430099331721 epoch: 13509 Epoch 13509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13509With loss 0.1267430099331721 epoch: 13510 Epoch 13510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13510With loss 0.1267430099331721 epoch: 13511 Epoch 13511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13511With loss 0.1267430099331721 epoch: 13512 Epoch 13512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13512With loss 0.1267430099331721 epoch: 13513 Epoch 13513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13513With loss 0.1267430099331721 epoch: 13514 Epoch 13514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13514With loss 0.1267430099331721 epoch: 13515 Epoch 13515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13515With loss 0.1267430099331721 epoch: 13516 Epoch 13516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13516With loss 0.1267430099331721 epoch: 13517 Epoch 13517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13517With loss 0.1267430099331721 epoch: 13518 Epoch 13518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13518With loss 0.1267430099331721 epoch: 13519 Epoch 13519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13519With loss 0.1267430099331721 epoch: 13520 Epoch 13520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13520With loss 0.1267430099331721 epoch: 13521 Epoch 13521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13521With loss 0.1267430099331721 epoch: 13522 Epoch 13522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13522With loss 0.1267430099331721 epoch: 13523 Epoch 13523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13523With loss 0.1267430099331721 epoch: 13524 Epoch 13524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13524With loss 0.1267430099331721 epoch: 13525 Epoch 13525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13525With loss 0.1267430099331721 epoch: 13526 Epoch 13526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13526With loss 0.1267430099331721 epoch: 13527 Epoch 13527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13527With loss 0.1267430099331721 epoch: 13528 Epoch 13528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13528With loss 0.1267430099331721 epoch: 13529 Epoch 13529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13529With loss 0.1267430099331721 epoch: 13530 Epoch 13530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13530With loss 0.1267430099331721 epoch: 13531 Epoch 13531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13531With loss 0.1267430099331721 epoch: 13532 Epoch 13532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13532With loss 0.1267430099331721 epoch: 13533 Epoch 13533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13533With loss 0.1267430099331721 epoch: 13534 Epoch 13534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13534With loss 0.1267430099331721 epoch: 13535 Epoch 13535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13535With loss 0.1267430099331721 epoch: 13536 Epoch 13536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13536With loss 0.1267430099331721 epoch: 13537 Epoch 13537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13537With loss 0.1267430099331721 epoch: 13538 Epoch 13538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13538With loss 0.1267430099331721 epoch: 13539 Epoch 13539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13539With loss 0.1267430099331721 epoch: 13540 Epoch 13540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13540With loss 0.1267430099331721 epoch: 13541 Epoch 13541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13541With loss 0.1267430099331721 epoch: 13542 Epoch 13542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13542With loss 0.1267430099331721 epoch: 13543 Epoch 13543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13543With loss 0.1267430099331721 epoch: 13544 Epoch 13544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13544With loss 0.1267430099331721 epoch: 13545 Epoch 13545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13545With loss 0.1267430099331721 epoch: 13546 Epoch 13546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13546With loss 0.1267430099331721 epoch: 13547 Epoch 13547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13547With loss 0.1267430099331721 epoch: 13548 Epoch 13548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13548With loss 0.1267430099331721 epoch: 13549 Epoch 13549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13549With loss 0.1267430099331721 epoch: 13550 Epoch 13550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13550With loss 0.1267430099331721 epoch: 13551 Epoch 13551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13551With loss 0.1267430099331721 epoch: 13552 Epoch 13552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13552With loss 0.1267430099331721 epoch: 13553 Epoch 13553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13553With loss 0.1267430099331721 epoch: 13554 Epoch 13554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13554With loss 0.1267430099331721 epoch: 13555 Epoch 13555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13555With loss 0.1267430099331721 epoch: 13556 Epoch 13556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13556With loss 0.1267430099331721 epoch: 13557 Epoch 13557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13557With loss 0.1267430099331721 epoch: 13558 Epoch 13558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13558With loss 0.1267430099331721 epoch: 13559 Epoch 13559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13559With loss 0.1267430099331721 epoch: 13560 Epoch 13560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13560With loss 0.1267430099331721 epoch: 13561 Epoch 13561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13561With loss 0.1267430099331721 epoch: 13562 Epoch 13562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13562With loss 0.1267430099331721 epoch: 13563 Epoch 13563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13563With loss 0.1267430099331721 epoch: 13564 Epoch 13564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13564With loss 0.1267430099331721 epoch: 13565 Epoch 13565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13565With loss 0.1267430099331721 epoch: 13566 Epoch 13566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13566With loss 0.1267430099331721 epoch: 13567 Epoch 13567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13567With loss 0.1267430099331721 epoch: 13568 Epoch 13568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13568With loss 0.1267430099331721 epoch: 13569 Epoch 13569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13569With loss 0.1267430099331721 epoch: 13570 Epoch 13570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13570With loss 0.1267430099331721 epoch: 13571 Epoch 13571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13571With loss 0.1267430099331721 epoch: 13572 Epoch 13572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13572With loss 0.1267430099331721 epoch: 13573 Epoch 13573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13573With loss 0.1267430099331721 epoch: 13574 Epoch 13574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13574With loss 0.1267430099331721 epoch: 13575 Epoch 13575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13575With loss 0.1267430099331721 epoch: 13576 Epoch 13576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13576With loss 0.1267430099331721 epoch: 13577 Epoch 13577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13577With loss 0.1267430099331721 epoch: 13578 Epoch 13578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13578With loss 0.1267430099331721 epoch: 13579 Epoch 13579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13579With loss 0.1267430099331721 epoch: 13580 Epoch 13580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13580With loss 0.1267430099331721 epoch: 13581 Epoch 13581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13581With loss 0.1267430099331721 epoch: 13582 Epoch 13582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13582With loss 0.1267430099331721 epoch: 13583 Epoch 13583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13583With loss 0.1267430099331721 epoch: 13584 Epoch 13584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13584With loss 0.1267430099331721 epoch: 13585 Epoch 13585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13585With loss 0.1267430099331721 epoch: 13586 Epoch 13586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13586With loss 0.1267430099331721 epoch: 13587 Epoch 13587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13587With loss 0.1267430099331721 epoch: 13588 Epoch 13588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13588With loss 0.1267430099331721 epoch: 13589 Epoch 13589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13589With loss 0.1267430099331721 epoch: 13590 Epoch 13590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13590With loss 0.1267430099331721 epoch: 13591 Epoch 13591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13591With loss 0.1267430099331721 epoch: 13592 Epoch 13592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13592With loss 0.1267430099331721 epoch: 13593 Epoch 13593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13593With loss 0.1267430099331721 epoch: 13594 Epoch 13594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13594With loss 0.1267430099331721 epoch: 13595 Epoch 13595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13595With loss 0.1267430099331721 epoch: 13596 Epoch 13596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13596With loss 0.1267430099331721 epoch: 13597 Epoch 13597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13597With loss 0.1267430099331721 epoch: 13598 Epoch 13598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13598With loss 0.1267430099331721 epoch: 13599 Epoch 13599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13599With loss 0.1267430099331721 epoch: 13600 Epoch 13600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13600With loss 0.1267430099331721 epoch: 13601 Epoch 13601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13601With loss 0.1267430099331721 epoch: 13602 Epoch 13602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13602With loss 0.1267430099331721 epoch: 13603 Epoch 13603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13603With loss 0.1267430099331721 epoch: 13604 Epoch 13604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13604With loss 0.1267430099331721 epoch: 13605 Epoch 13605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13605With loss 0.1267430099331721 epoch: 13606 Epoch 13606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13606With loss 0.1267430099331721 epoch: 13607 Epoch 13607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13607With loss 0.1267430099331721 epoch: 13608 Epoch 13608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13608With loss 0.1267430099331721 epoch: 13609 Epoch 13609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13609With loss 0.1267430099331721 epoch: 13610 Epoch 13610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13610With loss 0.1267430099331721 epoch: 13611 Epoch 13611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13611With loss 0.1267430099331721 epoch: 13612 Epoch 13612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13612With loss 0.1267430099331721 epoch: 13613 Epoch 13613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13613With loss 0.1267430099331721 epoch: 13614 Epoch 13614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13614With loss 0.1267430099331721 epoch: 13615 Epoch 13615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13615With loss 0.1267430099331721 epoch: 13616 Epoch 13616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13616With loss 0.1267430099331721 epoch: 13617 Epoch 13617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13617With loss 0.1267430099331721 epoch: 13618 Epoch 13618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13618With loss 0.1267430099331721 epoch: 13619 Epoch 13619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13619With loss 0.1267430099331721 epoch: 13620 Epoch 13620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13620With loss 0.1267430099331721 epoch: 13621 Epoch 13621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13621With loss 0.1267430099331721 epoch: 13622 Epoch 13622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13622With loss 0.1267430099331721 epoch: 13623 Epoch 13623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13623With loss 0.1267430099331721 epoch: 13624 Epoch 13624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13624With loss 0.1267430099331721 epoch: 13625 Epoch 13625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13625With loss 0.1267430099331721 epoch: 13626 Epoch 13626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13626With loss 0.1267430099331721 epoch: 13627 Epoch 13627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13627With loss 0.1267430099331721 epoch: 13628 Epoch 13628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13628With loss 0.1267430099331721 epoch: 13629 Epoch 13629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13629With loss 0.1267430099331721 epoch: 13630 Epoch 13630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13630With loss 0.1267430099331721 epoch: 13631 Epoch 13631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13631With loss 0.1267430099331721 epoch: 13632 Epoch 13632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13632With loss 0.1267430099331721 epoch: 13633 Epoch 13633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13633With loss 0.1267430099331721 epoch: 13634 Epoch 13634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13634With loss 0.1267430099331721 epoch: 13635 Epoch 13635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13635With loss 0.1267430099331721 epoch: 13636 Epoch 13636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13636With loss 0.1267430099331721 epoch: 13637 Epoch 13637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13637With loss 0.1267430099331721 epoch: 13638 Epoch 13638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13638With loss 0.1267430099331721 epoch: 13639 Epoch 13639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13639With loss 0.1267430099331721 epoch: 13640 Epoch 13640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13640With loss 0.1267430099331721 epoch: 13641 Epoch 13641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13641With loss 0.1267430099331721 epoch: 13642 Epoch 13642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13642With loss 0.1267430099331721 epoch: 13643 Epoch 13643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13643With loss 0.1267430099331721 epoch: 13644 Epoch 13644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13644With loss 0.1267430099331721 epoch: 13645 Epoch 13645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13645With loss 0.1267430099331721 epoch: 13646 Epoch 13646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13646With loss 0.1267430099331721 epoch: 13647 Epoch 13647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13647With loss 0.1267430099331721 epoch: 13648 Epoch 13648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13648With loss 0.1267430099331721 epoch: 13649 Epoch 13649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13649With loss 0.1267430099331721 epoch: 13650 Epoch 13650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13650With loss 0.1267430099331721 epoch: 13651 Epoch 13651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13651With loss 0.1267430099331721 epoch: 13652 Epoch 13652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13652With loss 0.1267430099331721 epoch: 13653 Epoch 13653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13653With loss 0.1267430099331721 epoch: 13654 Epoch 13654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13654With loss 0.1267430099331721 epoch: 13655 Epoch 13655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13655With loss 0.1267430099331721 epoch: 13656 Epoch 13656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13656With loss 0.1267430099331721 epoch: 13657 Epoch 13657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13657With loss 0.1267430099331721 epoch: 13658 Epoch 13658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13658With loss 0.1267430099331721 epoch: 13659 Epoch 13659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13659With loss 0.1267430099331721 epoch: 13660 Epoch 13660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13660With loss 0.1267430099331721 epoch: 13661 Epoch 13661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13661With loss 0.1267430099331721 epoch: 13662 Epoch 13662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13662With loss 0.1267430099331721 epoch: 13663 Epoch 13663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13663With loss 0.1267430099331721 epoch: 13664 Epoch 13664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13664With loss 0.1267430099331721 epoch: 13665 Epoch 13665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13665With loss 0.1267430099331721 epoch: 13666 Epoch 13666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13666With loss 0.1267430099331721 epoch: 13667 Epoch 13667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13667With loss 0.1267430099331721 epoch: 13668 Epoch 13668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13668With loss 0.1267430099331721 epoch: 13669 Epoch 13669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13669With loss 0.1267430099331721 epoch: 13670 Epoch 13670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13670With loss 0.1267430099331721 epoch: 13671 Epoch 13671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13671With loss 0.1267430099331721 epoch: 13672 Epoch 13672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13672With loss 0.1267430099331721 epoch: 13673 Epoch 13673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13673With loss 0.1267430099331721 epoch: 13674 Epoch 13674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13674With loss 0.1267430099331721 epoch: 13675 Epoch 13675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13675With loss 0.1267430099331721 epoch: 13676 Epoch 13676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13676With loss 0.1267430099331721 epoch: 13677 Epoch 13677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13677With loss 0.1267430099331721 epoch: 13678 Epoch 13678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13678With loss 0.1267430099331721 epoch: 13679 Epoch 13679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13679With loss 0.1267430099331721 epoch: 13680 Epoch 13680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13680With loss 0.1267430099331721 epoch: 13681 Epoch 13681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13681With loss 0.1267430099331721 epoch: 13682 Epoch 13682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13682With loss 0.1267430099331721 epoch: 13683 Epoch 13683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13683With loss 0.1267430099331721 epoch: 13684 Epoch 13684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13684With loss 0.1267430099331721 epoch: 13685 Epoch 13685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13685With loss 0.1267430099331721 epoch: 13686 Epoch 13686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13686With loss 0.1267430099331721 epoch: 13687 Epoch 13687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13687With loss 0.1267430099331721 epoch: 13688 Epoch 13688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13688With loss 0.1267430099331721 epoch: 13689 Epoch 13689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13689With loss 0.1267430099331721 epoch: 13690 Epoch 13690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13690With loss 0.1267430099331721 epoch: 13691 Epoch 13691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13691With loss 0.1267430099331721 epoch: 13692 Epoch 13692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13692With loss 0.1267430099331721 epoch: 13693 Epoch 13693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13693With loss 0.1267430099331721 epoch: 13694 Epoch 13694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13694With loss 0.1267430099331721 epoch: 13695 Epoch 13695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13695With loss 0.1267430099331721 epoch: 13696 Epoch 13696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13696With loss 0.1267430099331721 epoch: 13697 Epoch 13697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13697With loss 0.1267430099331721 epoch: 13698 Epoch 13698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13698With loss 0.1267430099331721 epoch: 13699 Epoch 13699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13699With loss 0.1267430099331721 epoch: 13700 Epoch 13700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13700With loss 0.1267430099331721 epoch: 13701 Epoch 13701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13701With loss 0.1267430099331721 epoch: 13702 Epoch 13702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13702With loss 0.1267430099331721 epoch: 13703 Epoch 13703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13703With loss 0.1267430099331721 epoch: 13704 Epoch 13704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13704With loss 0.1267430099331721 epoch: 13705 Epoch 13705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13705With loss 0.1267430099331721 epoch: 13706 Epoch 13706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13706With loss 0.1267430099331721 epoch: 13707 Epoch 13707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13707With loss 0.1267430099331721 epoch: 13708 Epoch 13708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13708With loss 0.1267430099331721 epoch: 13709 Epoch 13709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13709With loss 0.1267430099331721 epoch: 13710 Epoch 13710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13710With loss 0.1267430099331721 epoch: 13711 Epoch 13711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13711With loss 0.1267430099331721 epoch: 13712 Epoch 13712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13712With loss 0.1267430099331721 epoch: 13713 Epoch 13713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13713With loss 0.1267430099331721 epoch: 13714 Epoch 13714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13714With loss 0.1267430099331721 epoch: 13715 Epoch 13715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13715With loss 0.1267430099331721 epoch: 13716 Epoch 13716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13716With loss 0.1267430099331721 epoch: 13717 Epoch 13717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13717With loss 0.1267430099331721 epoch: 13718 Epoch 13718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13718With loss 0.1267430099331721 epoch: 13719 Epoch 13719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13719With loss 0.1267430099331721 epoch: 13720 Epoch 13720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13720With loss 0.1267430099331721 epoch: 13721 Epoch 13721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13721With loss 0.1267430099331721 epoch: 13722 Epoch 13722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13722With loss 0.1267430099331721 epoch: 13723 Epoch 13723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13723With loss 0.1267430099331721 epoch: 13724 Epoch 13724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13724With loss 0.1267430099331721 epoch: 13725 Epoch 13725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13725With loss 0.1267430099331721 epoch: 13726 Epoch 13726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13726With loss 0.1267430099331721 epoch: 13727 Epoch 13727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13727With loss 0.1267430099331721 epoch: 13728 Epoch 13728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13728With loss 0.1267430099331721 epoch: 13729 Epoch 13729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13729With loss 0.1267430099331721 epoch: 13730 Epoch 13730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13730With loss 0.1267430099331721 epoch: 13731 Epoch 13731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13731With loss 0.1267430099331721 epoch: 13732 Epoch 13732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13732With loss 0.1267430099331721 epoch: 13733 Epoch 13733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13733With loss 0.1267430099331721 epoch: 13734 Epoch 13734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13734With loss 0.1267430099331721 epoch: 13735 Epoch 13735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13735With loss 0.1267430099331721 epoch: 13736 Epoch 13736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13736With loss 0.1267430099331721 epoch: 13737 Epoch 13737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13737With loss 0.1267430099331721 epoch: 13738 Epoch 13738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13738With loss 0.1267430099331721 epoch: 13739 Epoch 13739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13739With loss 0.1267430099331721 epoch: 13740 Epoch 13740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13740With loss 0.1267430099331721 epoch: 13741 Epoch 13741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13741With loss 0.1267430099331721 epoch: 13742 Epoch 13742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13742With loss 0.1267430099331721 epoch: 13743 Epoch 13743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13743With loss 0.1267430099331721 epoch: 13744 Epoch 13744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13744With loss 0.1267430099331721 epoch: 13745 Epoch 13745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13745With loss 0.1267430099331721 epoch: 13746 Epoch 13746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13746With loss 0.1267430099331721 epoch: 13747 Epoch 13747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13747With loss 0.1267430099331721 epoch: 13748 Epoch 13748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13748With loss 0.1267430099331721 epoch: 13749 Epoch 13749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13749With loss 0.1267430099331721 epoch: 13750 Epoch 13750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13750With loss 0.1267430099331721 epoch: 13751 Epoch 13751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13751With loss 0.1267430099331721 epoch: 13752 Epoch 13752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13752With loss 0.1267430099331721 epoch: 13753 Epoch 13753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13753With loss 0.1267430099331721 epoch: 13754 Epoch 13754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13754With loss 0.1267430099331721 epoch: 13755 Epoch 13755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13755With loss 0.1267430099331721 epoch: 13756 Epoch 13756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13756With loss 0.1267430099331721 epoch: 13757 Epoch 13757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13757With loss 0.1267430099331721 epoch: 13758 Epoch 13758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13758With loss 0.1267430099331721 epoch: 13759 Epoch 13759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13759With loss 0.1267430099331721 epoch: 13760 Epoch 13760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13760With loss 0.1267430099331721 epoch: 13761 Epoch 13761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13761With loss 0.1267430099331721 epoch: 13762 Epoch 13762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13762With loss 0.1267430099331721 epoch: 13763 Epoch 13763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13763With loss 0.1267430099331721 epoch: 13764 Epoch 13764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13764With loss 0.1267430099331721 epoch: 13765 Epoch 13765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13765With loss 0.1267430099331721 epoch: 13766 Epoch 13766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13766With loss 0.1267430099331721 epoch: 13767 Epoch 13767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13767With loss 0.1267430099331721 epoch: 13768 Epoch 13768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13768With loss 0.1267430099331721 epoch: 13769 Epoch 13769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13769With loss 0.1267430099331721 epoch: 13770 Epoch 13770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13770With loss 0.1267430099331721 epoch: 13771 Epoch 13771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13771With loss 0.1267430099331721 epoch: 13772 Epoch 13772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13772With loss 0.1267430099331721 epoch: 13773 Epoch 13773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13773With loss 0.1267430099331721 epoch: 13774 Epoch 13774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13774With loss 0.1267430099331721 epoch: 13775 Epoch 13775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13775With loss 0.1267430099331721 epoch: 13776 Epoch 13776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13776With loss 0.1267430099331721 epoch: 13777 Epoch 13777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13777With loss 0.1267430099331721 epoch: 13778 Epoch 13778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13778With loss 0.1267430099331721 epoch: 13779 Epoch 13779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13779With loss 0.1267430099331721 epoch: 13780 Epoch 13780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13780With loss 0.1267430099331721 epoch: 13781 Epoch 13781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13781With loss 0.1267430099331721 epoch: 13782 Epoch 13782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13782With loss 0.1267430099331721 epoch: 13783 Epoch 13783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13783With loss 0.1267430099331721 epoch: 13784 Epoch 13784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13784With loss 0.1267430099331721 epoch: 13785 Epoch 13785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13785With loss 0.1267430099331721 epoch: 13786 Epoch 13786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13786With loss 0.1267430099331721 epoch: 13787 Epoch 13787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13787With loss 0.1267430099331721 epoch: 13788 Epoch 13788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13788With loss 0.1267430099331721 epoch: 13789 Epoch 13789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13789With loss 0.1267430099331721 epoch: 13790 Epoch 13790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13790With loss 0.1267430099331721 epoch: 13791 Epoch 13791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13791With loss 0.1267430099331721 epoch: 13792 Epoch 13792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13792With loss 0.1267430099331721 epoch: 13793 Epoch 13793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13793With loss 0.1267430099331721 epoch: 13794 Epoch 13794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13794With loss 0.1267430099331721 epoch: 13795 Epoch 13795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13795With loss 0.1267430099331721 epoch: 13796 Epoch 13796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13796With loss 0.1267430099331721 epoch: 13797 Epoch 13797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13797With loss 0.1267430099331721 epoch: 13798 Epoch 13798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13798With loss 0.1267430099331721 epoch: 13799 Epoch 13799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13799With loss 0.1267430099331721 epoch: 13800 Epoch 13800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13800With loss 0.1267430099331721 epoch: 13801 Epoch 13801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13801With loss 0.1267430099331721 epoch: 13802 Epoch 13802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13802With loss 0.1267430099331721 epoch: 13803 Epoch 13803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13803With loss 0.1267430099331721 epoch: 13804 Epoch 13804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13804With loss 0.1267430099331721 epoch: 13805 Epoch 13805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13805With loss 0.1267430099331721 epoch: 13806 Epoch 13806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13806With loss 0.1267430099331721 epoch: 13807 Epoch 13807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13807With loss 0.1267430099331721 epoch: 13808 Epoch 13808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13808With loss 0.1267430099331721 epoch: 13809 Epoch 13809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13809With loss 0.1267430099331721 epoch: 13810 Epoch 13810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13810With loss 0.1267430099331721 epoch: 13811 Epoch 13811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13811With loss 0.1267430099331721 epoch: 13812 Epoch 13812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13812With loss 0.1267430099331721 epoch: 13813 Epoch 13813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13813With loss 0.1267430099331721 epoch: 13814 Epoch 13814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13814With loss 0.1267430099331721 epoch: 13815 Epoch 13815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13815With loss 0.1267430099331721 epoch: 13816 Epoch 13816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13816With loss 0.1267430099331721 epoch: 13817 Epoch 13817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13817With loss 0.1267430099331721 epoch: 13818 Epoch 13818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13818With loss 0.1267430099331721 epoch: 13819 Epoch 13819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13819With loss 0.1267430099331721 epoch: 13820 Epoch 13820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13820With loss 0.1267430099331721 epoch: 13821 Epoch 13821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13821With loss 0.1267430099331721 epoch: 13822 Epoch 13822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13822With loss 0.1267430099331721 epoch: 13823 Epoch 13823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13823With loss 0.1267430099331721 epoch: 13824 Epoch 13824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13824With loss 0.1267430099331721 epoch: 13825 Epoch 13825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13825With loss 0.1267430099331721 epoch: 13826 Epoch 13826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13826With loss 0.1267430099331721 epoch: 13827 Epoch 13827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13827With loss 0.1267430099331721 epoch: 13828 Epoch 13828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13828With loss 0.1267430099331721 epoch: 13829 Epoch 13829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13829With loss 0.1267430099331721 epoch: 13830 Epoch 13830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13830With loss 0.1267430099331721 epoch: 13831 Epoch 13831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13831With loss 0.1267430099331721 epoch: 13832 Epoch 13832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13832With loss 0.1267430099331721 epoch: 13833 Epoch 13833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13833With loss 0.1267430099331721 epoch: 13834 Epoch 13834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13834With loss 0.1267430099331721 epoch: 13835 Epoch 13835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13835With loss 0.1267430099331721 epoch: 13836 Epoch 13836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13836With loss 0.1267430099331721 epoch: 13837 Epoch 13837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13837With loss 0.1267430099331721 epoch: 13838 Epoch 13838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13838With loss 0.1267430099331721 epoch: 13839 Epoch 13839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13839With loss 0.1267430099331721 epoch: 13840 Epoch 13840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13840With loss 0.1267430099331721 epoch: 13841 Epoch 13841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13841With loss 0.1267430099331721 epoch: 13842 Epoch 13842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13842With loss 0.1267430099331721 epoch: 13843 Epoch 13843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13843With loss 0.1267430099331721 epoch: 13844 Epoch 13844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13844With loss 0.1267430099331721 epoch: 13845 Epoch 13845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13845With loss 0.1267430099331721 epoch: 13846 Epoch 13846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13846With loss 0.1267430099331721 epoch: 13847 Epoch 13847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13847With loss 0.1267430099331721 epoch: 13848 Epoch 13848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13848With loss 0.1267430099331721 epoch: 13849 Epoch 13849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13849With loss 0.1267430099331721 epoch: 13850 Epoch 13850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13850With loss 0.1267430099331721 epoch: 13851 Epoch 13851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13851With loss 0.1267430099331721 epoch: 13852 Epoch 13852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13852With loss 0.1267430099331721 epoch: 13853 Epoch 13853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13853With loss 0.1267430099331721 epoch: 13854 Epoch 13854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13854With loss 0.1267430099331721 epoch: 13855 Epoch 13855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13855With loss 0.1267430099331721 epoch: 13856 Epoch 13856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13856With loss 0.1267430099331721 epoch: 13857 Epoch 13857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13857With loss 0.1267430099331721 epoch: 13858 Epoch 13858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13858With loss 0.1267430099331721 epoch: 13859 Epoch 13859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13859With loss 0.1267430099331721 epoch: 13860 Epoch 13860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13860With loss 0.1267430099331721 epoch: 13861 Epoch 13861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13861With loss 0.1267430099331721 epoch: 13862 Epoch 13862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13862With loss 0.1267430099331721 epoch: 13863 Epoch 13863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13863With loss 0.1267430099331721 epoch: 13864 Epoch 13864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13864With loss 0.1267430099331721 epoch: 13865 Epoch 13865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13865With loss 0.1267430099331721 epoch: 13866 Epoch 13866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13866With loss 0.1267430099331721 epoch: 13867 Epoch 13867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13867With loss 0.1267430099331721 epoch: 13868 Epoch 13868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13868With loss 0.1267430099331721 epoch: 13869 Epoch 13869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13869With loss 0.1267430099331721 epoch: 13870 Epoch 13870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13870With loss 0.1267430099331721 epoch: 13871 Epoch 13871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13871With loss 0.1267430099331721 epoch: 13872 Epoch 13872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13872With loss 0.1267430099331721 epoch: 13873 Epoch 13873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13873With loss 0.1267430099331721 epoch: 13874 Epoch 13874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13874With loss 0.1267430099331721 epoch: 13875 Epoch 13875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13875With loss 0.1267430099331721 epoch: 13876 Epoch 13876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13876With loss 0.1267430099331721 epoch: 13877 Epoch 13877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13877With loss 0.1267430099331721 epoch: 13878 Epoch 13878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13878With loss 0.1267430099331721 epoch: 13879 Epoch 13879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13879With loss 0.1267430099331721 epoch: 13880 Epoch 13880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13880With loss 0.1267430099331721 epoch: 13881 Epoch 13881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13881With loss 0.1267430099331721 epoch: 13882 Epoch 13882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13882With loss 0.1267430099331721 epoch: 13883 Epoch 13883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13883With loss 0.1267430099331721 epoch: 13884 Epoch 13884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13884With loss 0.1267430099331721 epoch: 13885 Epoch 13885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13885With loss 0.1267430099331721 epoch: 13886 Epoch 13886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13886With loss 0.1267430099331721 epoch: 13887 Epoch 13887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13887With loss 0.1267430099331721 epoch: 13888 Epoch 13888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13888With loss 0.1267430099331721 epoch: 13889 Epoch 13889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13889With loss 0.1267430099331721 epoch: 13890 Epoch 13890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13890With loss 0.1267430099331721 epoch: 13891 Epoch 13891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13891With loss 0.1267430099331721 epoch: 13892 Epoch 13892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13892With loss 0.1267430099331721 epoch: 13893 Epoch 13893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13893With loss 0.1267430099331721 epoch: 13894 Epoch 13894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13894With loss 0.1267430099331721 epoch: 13895 Epoch 13895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13895With loss 0.1267430099331721 epoch: 13896 Epoch 13896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13896With loss 0.1267430099331721 epoch: 13897 Epoch 13897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13897With loss 0.1267430099331721 epoch: 13898 Epoch 13898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13898With loss 0.1267430099331721 epoch: 13899 Epoch 13899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13899With loss 0.1267430099331721 epoch: 13900 Epoch 13900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13900With loss 0.1267430099331721 epoch: 13901 Epoch 13901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13901With loss 0.1267430099331721 epoch: 13902 Epoch 13902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13902With loss 0.1267430099331721 epoch: 13903 Epoch 13903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13903With loss 0.1267430099331721 epoch: 13904 Epoch 13904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13904With loss 0.1267430099331721 epoch: 13905 Epoch 13905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13905With loss 0.1267430099331721 epoch: 13906 Epoch 13906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13906With loss 0.1267430099331721 epoch: 13907 Epoch 13907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13907With loss 0.1267430099331721 epoch: 13908 Epoch 13908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13908With loss 0.1267430099331721 epoch: 13909 Epoch 13909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13909With loss 0.1267430099331721 epoch: 13910 Epoch 13910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13910With loss 0.1267430099331721 epoch: 13911 Epoch 13911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13911With loss 0.1267430099331721 epoch: 13912 Epoch 13912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13912With loss 0.1267430099331721 epoch: 13913 Epoch 13913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13913With loss 0.1267430099331721 epoch: 13914 Epoch 13914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13914With loss 0.1267430099331721 epoch: 13915 Epoch 13915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13915With loss 0.1267430099331721 epoch: 13916 Epoch 13916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13916With loss 0.1267430099331721 epoch: 13917 Epoch 13917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13917With loss 0.1267430099331721 epoch: 13918 Epoch 13918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13918With loss 0.1267430099331721 epoch: 13919 Epoch 13919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13919With loss 0.1267430099331721 epoch: 13920 Epoch 13920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13920With loss 0.1267430099331721 epoch: 13921 Epoch 13921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13921With loss 0.1267430099331721 epoch: 13922 Epoch 13922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13922With loss 0.1267430099331721 epoch: 13923 Epoch 13923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13923With loss 0.1267430099331721 epoch: 13924 Epoch 13924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13924With loss 0.1267430099331721 epoch: 13925 Epoch 13925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13925With loss 0.1267430099331721 epoch: 13926 Epoch 13926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13926With loss 0.1267430099331721 epoch: 13927 Epoch 13927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13927With loss 0.1267430099331721 epoch: 13928 Epoch 13928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13928With loss 0.1267430099331721 epoch: 13929 Epoch 13929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13929With loss 0.1267430099331721 epoch: 13930 Epoch 13930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13930With loss 0.1267430099331721 epoch: 13931 Epoch 13931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13931With loss 0.1267430099331721 epoch: 13932 Epoch 13932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13932With loss 0.1267430099331721 epoch: 13933 Epoch 13933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13933With loss 0.1267430099331721 epoch: 13934 Epoch 13934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13934With loss 0.1267430099331721 epoch: 13935 Epoch 13935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13935With loss 0.1267430099331721 epoch: 13936 Epoch 13936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13936With loss 0.1267430099331721 epoch: 13937 Epoch 13937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13937With loss 0.1267430099331721 epoch: 13938 Epoch 13938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13938With loss 0.1267430099331721 epoch: 13939 Epoch 13939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13939With loss 0.1267430099331721 epoch: 13940 Epoch 13940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13940With loss 0.1267430099331721 epoch: 13941 Epoch 13941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13941With loss 0.1267430099331721 epoch: 13942 Epoch 13942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13942With loss 0.1267430099331721 epoch: 13943 Epoch 13943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13943With loss 0.1267430099331721 epoch: 13944 Epoch 13944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13944With loss 0.1267430099331721 epoch: 13945 Epoch 13945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13945With loss 0.1267430099331721 epoch: 13946 Epoch 13946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13946With loss 0.1267430099331721 epoch: 13947 Epoch 13947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13947With loss 0.1267430099331721 epoch: 13948 Epoch 13948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13948With loss 0.1267430099331721 epoch: 13949 Epoch 13949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13949With loss 0.1267430099331721 epoch: 13950 Epoch 13950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13950With loss 0.1267430099331721 epoch: 13951 Epoch 13951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13951With loss 0.1267430099331721 epoch: 13952 Epoch 13952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13952With loss 0.1267430099331721 epoch: 13953 Epoch 13953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13953With loss 0.1267430099331721 epoch: 13954 Epoch 13954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13954With loss 0.1267430099331721 epoch: 13955 Epoch 13955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13955With loss 0.1267430099331721 epoch: 13956 Epoch 13956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13956With loss 0.1267430099331721 epoch: 13957 Epoch 13957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13957With loss 0.1267430099331721 epoch: 13958 Epoch 13958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13958With loss 0.1267430099331721 epoch: 13959 Epoch 13959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13959With loss 0.1267430099331721 epoch: 13960 Epoch 13960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13960With loss 0.1267430099331721 epoch: 13961 Epoch 13961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13961With loss 0.1267430099331721 epoch: 13962 Epoch 13962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13962With loss 0.1267430099331721 epoch: 13963 Epoch 13963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13963With loss 0.1267430099331721 epoch: 13964 Epoch 13964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13964With loss 0.1267430099331721 epoch: 13965 Epoch 13965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13965With loss 0.1267430099331721 epoch: 13966 Epoch 13966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13966With loss 0.1267430099331721 epoch: 13967 Epoch 13967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13967With loss 0.1267430099331721 epoch: 13968 Epoch 13968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13968With loss 0.1267430099331721 epoch: 13969 Epoch 13969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13969With loss 0.1267430099331721 epoch: 13970 Epoch 13970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13970With loss 0.1267430099331721 epoch: 13971 Epoch 13971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13971With loss 0.1267430099331721 epoch: 13972 Epoch 13972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13972With loss 0.1267430099331721 epoch: 13973 Epoch 13973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13973With loss 0.1267430099331721 epoch: 13974 Epoch 13974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13974With loss 0.1267430099331721 epoch: 13975 Epoch 13975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13975With loss 0.1267430099331721 epoch: 13976 Epoch 13976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13976With loss 0.1267430099331721 epoch: 13977 Epoch 13977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13977With loss 0.1267430099331721 epoch: 13978 Epoch 13978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13978With loss 0.1267430099331721 epoch: 13979 Epoch 13979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13979With loss 0.1267430099331721 epoch: 13980 Epoch 13980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13980With loss 0.1267430099331721 epoch: 13981 Epoch 13981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13981With loss 0.1267430099331721 epoch: 13982 Epoch 13982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13982With loss 0.1267430099331721 epoch: 13983 Epoch 13983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13983With loss 0.1267430099331721 epoch: 13984 Epoch 13984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13984With loss 0.1267430099331721 epoch: 13985 Epoch 13985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13985With loss 0.1267430099331721 epoch: 13986 Epoch 13986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13986With loss 0.1267430099331721 epoch: 13987 Epoch 13987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13987With loss 0.1267430099331721 epoch: 13988 Epoch 13988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13988With loss 0.1267430099331721 epoch: 13989 Epoch 13989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13989With loss 0.1267430099331721 epoch: 13990 Epoch 13990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13990With loss 0.1267430099331721 epoch: 13991 Epoch 13991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13991With loss 0.1267430099331721 epoch: 13992 Epoch 13992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13992With loss 0.1267430099331721 epoch: 13993 Epoch 13993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13993With loss 0.1267430099331721 epoch: 13994 Epoch 13994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13994With loss 0.1267430099331721 epoch: 13995 Epoch 13995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13995With loss 0.1267430099331721 epoch: 13996 Epoch 13996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13996With loss 0.1267430099331721 epoch: 13997 Epoch 13997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13997With loss 0.1267430099331721 epoch: 13998 Epoch 13998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13998With loss 0.1267430099331721 epoch: 13999 Epoch 13999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 13999With loss 0.1267430099331721 epoch: 14000 Epoch 14000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14000With loss 0.1267430099331721 epoch: 14001 Epoch 14001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14001With loss 0.1267430099331721 epoch: 14002 Epoch 14002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14002With loss 0.1267430099331721 epoch: 14003 Epoch 14003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14003With loss 0.1267430099331721 epoch: 14004 Epoch 14004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14004With loss 0.1267430099331721 epoch: 14005 Epoch 14005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14005With loss 0.1267430099331721 epoch: 14006 Epoch 14006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14006With loss 0.1267430099331721 epoch: 14007 Epoch 14007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14007With loss 0.1267430099331721 epoch: 14008 Epoch 14008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14008With loss 0.1267430099331721 epoch: 14009 Epoch 14009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14009With loss 0.1267430099331721 epoch: 14010 Epoch 14010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14010With loss 0.1267430099331721 epoch: 14011 Epoch 14011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14011With loss 0.1267430099331721 epoch: 14012 Epoch 14012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14012With loss 0.1267430099331721 epoch: 14013 Epoch 14013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14013With loss 0.1267430099331721 epoch: 14014 Epoch 14014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14014With loss 0.1267430099331721 epoch: 14015 Epoch 14015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14015With loss 0.1267430099331721 epoch: 14016 Epoch 14016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14016With loss 0.1267430099331721 epoch: 14017 Epoch 14017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14017With loss 0.1267430099331721 epoch: 14018 Epoch 14018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14018With loss 0.1267430099331721 epoch: 14019 Epoch 14019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14019With loss 0.1267430099331721 epoch: 14020 Epoch 14020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14020With loss 0.1267430099331721 epoch: 14021 Epoch 14021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14021With loss 0.1267430099331721 epoch: 14022 Epoch 14022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14022With loss 0.1267430099331721 epoch: 14023 Epoch 14023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14023With loss 0.1267430099331721 epoch: 14024 Epoch 14024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14024With loss 0.1267430099331721 epoch: 14025 Epoch 14025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14025With loss 0.1267430099331721 epoch: 14026 Epoch 14026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14026With loss 0.1267430099331721 epoch: 14027 Epoch 14027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14027With loss 0.1267430099331721 epoch: 14028 Epoch 14028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14028With loss 0.1267430099331721 epoch: 14029 Epoch 14029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14029With loss 0.1267430099331721 epoch: 14030 Epoch 14030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14030With loss 0.1267430099331721 epoch: 14031 Epoch 14031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14031With loss 0.1267430099331721 epoch: 14032 Epoch 14032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14032With loss 0.1267430099331721 epoch: 14033 Epoch 14033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14033With loss 0.1267430099331721 epoch: 14034 Epoch 14034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14034With loss 0.1267430099331721 epoch: 14035 Epoch 14035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14035With loss 0.1267430099331721 epoch: 14036 Epoch 14036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14036With loss 0.1267430099331721 epoch: 14037 Epoch 14037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14037With loss 0.1267430099331721 epoch: 14038 Epoch 14038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14038With loss 0.1267430099331721 epoch: 14039 Epoch 14039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14039With loss 0.1267430099331721 epoch: 14040 Epoch 14040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14040With loss 0.1267430099331721 epoch: 14041 Epoch 14041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14041With loss 0.1267430099331721 epoch: 14042 Epoch 14042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14042With loss 0.1267430099331721 epoch: 14043 Epoch 14043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14043With loss 0.1267430099331721 epoch: 14044 Epoch 14044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14044With loss 0.1267430099331721 epoch: 14045 Epoch 14045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14045With loss 0.1267430099331721 epoch: 14046 Epoch 14046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14046With loss 0.1267430099331721 epoch: 14047 Epoch 14047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14047With loss 0.1267430099331721 epoch: 14048 Epoch 14048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14048With loss 0.1267430099331721 epoch: 14049 Epoch 14049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14049With loss 0.1267430099331721 epoch: 14050 Epoch 14050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14050With loss 0.1267430099331721 epoch: 14051 Epoch 14051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14051With loss 0.1267430099331721 epoch: 14052 Epoch 14052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14052With loss 0.1267430099331721 epoch: 14053 Epoch 14053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14053With loss 0.1267430099331721 epoch: 14054 Epoch 14054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14054With loss 0.1267430099331721 epoch: 14055 Epoch 14055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14055With loss 0.1267430099331721 epoch: 14056 Epoch 14056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14056With loss 0.1267430099331721 epoch: 14057 Epoch 14057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14057With loss 0.1267430099331721 epoch: 14058 Epoch 14058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14058With loss 0.1267430099331721 epoch: 14059 Epoch 14059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14059With loss 0.1267430099331721 epoch: 14060 Epoch 14060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14060With loss 0.1267430099331721 epoch: 14061 Epoch 14061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14061With loss 0.1267430099331721 epoch: 14062 Epoch 14062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14062With loss 0.1267430099331721 epoch: 14063 Epoch 14063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14063With loss 0.1267430099331721 epoch: 14064 Epoch 14064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14064With loss 0.1267430099331721 epoch: 14065 Epoch 14065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14065With loss 0.1267430099331721 epoch: 14066 Epoch 14066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14066With loss 0.1267430099331721 epoch: 14067 Epoch 14067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14067With loss 0.1267430099331721 epoch: 14068 Epoch 14068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14068With loss 0.1267430099331721 epoch: 14069 Epoch 14069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14069With loss 0.1267430099331721 epoch: 14070 Epoch 14070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14070With loss 0.1267430099331721 epoch: 14071 Epoch 14071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14071With loss 0.1267430099331721 epoch: 14072 Epoch 14072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14072With loss 0.1267430099331721 epoch: 14073 Epoch 14073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14073With loss 0.1267430099331721 epoch: 14074 Epoch 14074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14074With loss 0.1267430099331721 epoch: 14075 Epoch 14075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14075With loss 0.1267430099331721 epoch: 14076 Epoch 14076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14076With loss 0.1267430099331721 epoch: 14077 Epoch 14077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14077With loss 0.1267430099331721 epoch: 14078 Epoch 14078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14078With loss 0.1267430099331721 epoch: 14079 Epoch 14079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14079With loss 0.1267430099331721 epoch: 14080 Epoch 14080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14080With loss 0.1267430099331721 epoch: 14081 Epoch 14081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14081With loss 0.1267430099331721 epoch: 14082 Epoch 14082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14082With loss 0.1267430099331721 epoch: 14083 Epoch 14083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14083With loss 0.1267430099331721 epoch: 14084 Epoch 14084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14084With loss 0.1267430099331721 epoch: 14085 Epoch 14085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14085With loss 0.1267430099331721 epoch: 14086 Epoch 14086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14086With loss 0.1267430099331721 epoch: 14087 Epoch 14087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14087With loss 0.1267430099331721 epoch: 14088 Epoch 14088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14088With loss 0.1267430099331721 epoch: 14089 Epoch 14089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14089With loss 0.1267430099331721 epoch: 14090 Epoch 14090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14090With loss 0.1267430099331721 epoch: 14091 Epoch 14091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14091With loss 0.1267430099331721 epoch: 14092 Epoch 14092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14092With loss 0.1267430099331721 epoch: 14093 Epoch 14093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14093With loss 0.1267430099331721 epoch: 14094 Epoch 14094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14094With loss 0.1267430099331721 epoch: 14095 Epoch 14095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14095With loss 0.1267430099331721 epoch: 14096 Epoch 14096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14096With loss 0.1267430099331721 epoch: 14097 Epoch 14097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14097With loss 0.1267430099331721 epoch: 14098 Epoch 14098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14098With loss 0.1267430099331721 epoch: 14099 Epoch 14099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14099With loss 0.1267430099331721 epoch: 14100 Epoch 14100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14100With loss 0.1267430099331721 epoch: 14101 Epoch 14101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14101With loss 0.1267430099331721 epoch: 14102 Epoch 14102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14102With loss 0.1267430099331721 epoch: 14103 Epoch 14103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14103With loss 0.1267430099331721 epoch: 14104 Epoch 14104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14104With loss 0.1267430099331721 epoch: 14105 Epoch 14105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14105With loss 0.1267430099331721 epoch: 14106 Epoch 14106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14106With loss 0.1267430099331721 epoch: 14107 Epoch 14107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14107With loss 0.1267430099331721 epoch: 14108 Epoch 14108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14108With loss 0.1267430099331721 epoch: 14109 Epoch 14109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14109With loss 0.1267430099331721 epoch: 14110 Epoch 14110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14110With loss 0.1267430099331721 epoch: 14111 Epoch 14111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14111With loss 0.1267430099331721 epoch: 14112 Epoch 14112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14112With loss 0.1267430099331721 epoch: 14113 Epoch 14113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14113With loss 0.1267430099331721 epoch: 14114 Epoch 14114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14114With loss 0.1267430099331721 epoch: 14115 Epoch 14115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14115With loss 0.1267430099331721 epoch: 14116 Epoch 14116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14116With loss 0.1267430099331721 epoch: 14117 Epoch 14117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14117With loss 0.1267430099331721 epoch: 14118 Epoch 14118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14118With loss 0.1267430099331721 epoch: 14119 Epoch 14119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14119With loss 0.1267430099331721 epoch: 14120 Epoch 14120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14120With loss 0.1267430099331721 epoch: 14121 Epoch 14121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14121With loss 0.1267430099331721 epoch: 14122 Epoch 14122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14122With loss 0.1267430099331721 epoch: 14123 Epoch 14123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14123With loss 0.1267430099331721 epoch: 14124 Epoch 14124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14124With loss 0.1267430099331721 epoch: 14125 Epoch 14125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14125With loss 0.1267430099331721 epoch: 14126 Epoch 14126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14126With loss 0.1267430099331721 epoch: 14127 Epoch 14127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14127With loss 0.1267430099331721 epoch: 14128 Epoch 14128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14128With loss 0.1267430099331721 epoch: 14129 Epoch 14129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14129With loss 0.1267430099331721 epoch: 14130 Epoch 14130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14130With loss 0.1267430099331721 epoch: 14131 Epoch 14131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14131With loss 0.1267430099331721 epoch: 14132 Epoch 14132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14132With loss 0.1267430099331721 epoch: 14133 Epoch 14133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14133With loss 0.1267430099331721 epoch: 14134 Epoch 14134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14134With loss 0.1267430099331721 epoch: 14135 Epoch 14135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14135With loss 0.1267430099331721 epoch: 14136 Epoch 14136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14136With loss 0.1267430099331721 epoch: 14137 Epoch 14137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14137With loss 0.1267430099331721 epoch: 14138 Epoch 14138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14138With loss 0.1267430099331721 epoch: 14139 Epoch 14139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14139With loss 0.1267430099331721 epoch: 14140 Epoch 14140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14140With loss 0.1267430099331721 epoch: 14141 Epoch 14141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14141With loss 0.1267430099331721 epoch: 14142 Epoch 14142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14142With loss 0.1267430099331721 epoch: 14143 Epoch 14143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14143With loss 0.1267430099331721 epoch: 14144 Epoch 14144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14144With loss 0.1267430099331721 epoch: 14145 Epoch 14145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14145With loss 0.1267430099331721 epoch: 14146 Epoch 14146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14146With loss 0.1267430099331721 epoch: 14147 Epoch 14147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14147With loss 0.1267430099331721 epoch: 14148 Epoch 14148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14148With loss 0.1267430099331721 epoch: 14149 Epoch 14149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14149With loss 0.1267430099331721 epoch: 14150 Epoch 14150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14150With loss 0.1267430099331721 epoch: 14151 Epoch 14151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14151With loss 0.1267430099331721 epoch: 14152 Epoch 14152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14152With loss 0.1267430099331721 epoch: 14153 Epoch 14153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14153With loss 0.1267430099331721 epoch: 14154 Epoch 14154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14154With loss 0.1267430099331721 epoch: 14155 Epoch 14155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14155With loss 0.1267430099331721 epoch: 14156 Epoch 14156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14156With loss 0.1267430099331721 epoch: 14157 Epoch 14157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14157With loss 0.1267430099331721 epoch: 14158 Epoch 14158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14158With loss 0.1267430099331721 epoch: 14159 Epoch 14159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14159With loss 0.1267430099331721 epoch: 14160 Epoch 14160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14160With loss 0.1267430099331721 epoch: 14161 Epoch 14161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14161With loss 0.1267430099331721 epoch: 14162 Epoch 14162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14162With loss 0.1267430099331721 epoch: 14163 Epoch 14163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14163With loss 0.1267430099331721 epoch: 14164 Epoch 14164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14164With loss 0.1267430099331721 epoch: 14165 Epoch 14165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14165With loss 0.1267430099331721 epoch: 14166 Epoch 14166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14166With loss 0.1267430099331721 epoch: 14167 Epoch 14167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14167With loss 0.1267430099331721 epoch: 14168 Epoch 14168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14168With loss 0.1267430099331721 epoch: 14169 Epoch 14169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14169With loss 0.1267430099331721 epoch: 14170 Epoch 14170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14170With loss 0.1267430099331721 epoch: 14171 Epoch 14171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14171With loss 0.1267430099331721 epoch: 14172 Epoch 14172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14172With loss 0.1267430099331721 epoch: 14173 Epoch 14173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14173With loss 0.1267430099331721 epoch: 14174 Epoch 14174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14174With loss 0.1267430099331721 epoch: 14175 Epoch 14175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14175With loss 0.1267430099331721 epoch: 14176 Epoch 14176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14176With loss 0.1267430099331721 epoch: 14177 Epoch 14177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14177With loss 0.1267430099331721 epoch: 14178 Epoch 14178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14178With loss 0.1267430099331721 epoch: 14179 Epoch 14179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14179With loss 0.1267430099331721 epoch: 14180 Epoch 14180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14180With loss 0.1267430099331721 epoch: 14181 Epoch 14181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14181With loss 0.1267430099331721 epoch: 14182 Epoch 14182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14182With loss 0.1267430099331721 epoch: 14183 Epoch 14183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14183With loss 0.1267430099331721 epoch: 14184 Epoch 14184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14184With loss 0.1267430099331721 epoch: 14185 Epoch 14185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14185With loss 0.1267430099331721 epoch: 14186 Epoch 14186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14186With loss 0.1267430099331721 epoch: 14187 Epoch 14187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14187With loss 0.1267430099331721 epoch: 14188 Epoch 14188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14188With loss 0.1267430099331721 epoch: 14189 Epoch 14189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14189With loss 0.1267430099331721 epoch: 14190 Epoch 14190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14190With loss 0.1267430099331721 epoch: 14191 Epoch 14191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14191With loss 0.1267430099331721 epoch: 14192 Epoch 14192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14192With loss 0.1267430099331721 epoch: 14193 Epoch 14193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14193With loss 0.1267430099331721 epoch: 14194 Epoch 14194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14194With loss 0.1267430099331721 epoch: 14195 Epoch 14195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14195With loss 0.1267430099331721 epoch: 14196 Epoch 14196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14196With loss 0.1267430099331721 epoch: 14197 Epoch 14197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14197With loss 0.1267430099331721 epoch: 14198 Epoch 14198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14198With loss 0.1267430099331721 epoch: 14199 Epoch 14199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14199With loss 0.1267430099331721 epoch: 14200 Epoch 14200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14200With loss 0.1267430099331721 epoch: 14201 Epoch 14201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14201With loss 0.1267430099331721 epoch: 14202 Epoch 14202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14202With loss 0.1267430099331721 epoch: 14203 Epoch 14203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14203With loss 0.1267430099331721 epoch: 14204 Epoch 14204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14204With loss 0.1267430099331721 epoch: 14205 Epoch 14205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14205With loss 0.1267430099331721 epoch: 14206 Epoch 14206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14206With loss 0.1267430099331721 epoch: 14207 Epoch 14207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14207With loss 0.1267430099331721 epoch: 14208 Epoch 14208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14208With loss 0.1267430099331721 epoch: 14209 Epoch 14209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14209With loss 0.1267430099331721 epoch: 14210 Epoch 14210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14210With loss 0.1267430099331721 epoch: 14211 Epoch 14211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14211With loss 0.1267430099331721 epoch: 14212 Epoch 14212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14212With loss 0.1267430099331721 epoch: 14213 Epoch 14213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14213With loss 0.1267430099331721 epoch: 14214 Epoch 14214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14214With loss 0.1267430099331721 epoch: 14215 Epoch 14215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14215With loss 0.1267430099331721 epoch: 14216 Epoch 14216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14216With loss 0.1267430099331721 epoch: 14217 Epoch 14217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14217With loss 0.1267430099331721 epoch: 14218 Epoch 14218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14218With loss 0.1267430099331721 epoch: 14219 Epoch 14219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14219With loss 0.1267430099331721 epoch: 14220 Epoch 14220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14220With loss 0.1267430099331721 epoch: 14221 Epoch 14221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14221With loss 0.1267430099331721 epoch: 14222 Epoch 14222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14222With loss 0.1267430099331721 epoch: 14223 Epoch 14223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14223With loss 0.1267430099331721 epoch: 14224 Epoch 14224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14224With loss 0.1267430099331721 epoch: 14225 Epoch 14225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14225With loss 0.1267430099331721 epoch: 14226 Epoch 14226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14226With loss 0.1267430099331721 epoch: 14227 Epoch 14227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14227With loss 0.1267430099331721 epoch: 14228 Epoch 14228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14228With loss 0.1267430099331721 epoch: 14229 Epoch 14229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14229With loss 0.1267430099331721 epoch: 14230 Epoch 14230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14230With loss 0.1267430099331721 epoch: 14231 Epoch 14231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14231With loss 0.1267430099331721 epoch: 14232 Epoch 14232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14232With loss 0.1267430099331721 epoch: 14233 Epoch 14233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14233With loss 0.1267430099331721 epoch: 14234 Epoch 14234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14234With loss 0.1267430099331721 epoch: 14235 Epoch 14235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14235With loss 0.1267430099331721 epoch: 14236 Epoch 14236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14236With loss 0.1267430099331721 epoch: 14237 Epoch 14237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14237With loss 0.1267430099331721 epoch: 14238 Epoch 14238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14238With loss 0.1267430099331721 epoch: 14239 Epoch 14239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14239With loss 0.1267430099331721 epoch: 14240 Epoch 14240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14240With loss 0.1267430099331721 epoch: 14241 Epoch 14241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14241With loss 0.1267430099331721 epoch: 14242 Epoch 14242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14242With loss 0.1267430099331721 epoch: 14243 Epoch 14243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14243With loss 0.1267430099331721 epoch: 14244 Epoch 14244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14244With loss 0.1267430099331721 epoch: 14245 Epoch 14245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14245With loss 0.1267430099331721 epoch: 14246 Epoch 14246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14246With loss 0.1267430099331721 epoch: 14247 Epoch 14247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14247With loss 0.1267430099331721 epoch: 14248 Epoch 14248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14248With loss 0.1267430099331721 epoch: 14249 Epoch 14249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14249With loss 0.1267430099331721 epoch: 14250 Epoch 14250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14250With loss 0.1267430099331721 epoch: 14251 Epoch 14251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14251With loss 0.1267430099331721 epoch: 14252 Epoch 14252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14252With loss 0.1267430099331721 epoch: 14253 Epoch 14253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14253With loss 0.1267430099331721 epoch: 14254 Epoch 14254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14254With loss 0.1267430099331721 epoch: 14255 Epoch 14255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14255With loss 0.1267430099331721 epoch: 14256 Epoch 14256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14256With loss 0.1267430099331721 epoch: 14257 Epoch 14257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14257With loss 0.1267430099331721 epoch: 14258 Epoch 14258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14258With loss 0.1267430099331721 epoch: 14259 Epoch 14259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14259With loss 0.1267430099331721 epoch: 14260 Epoch 14260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14260With loss 0.1267430099331721 epoch: 14261 Epoch 14261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14261With loss 0.1267430099331721 epoch: 14262 Epoch 14262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14262With loss 0.1267430099331721 epoch: 14263 Epoch 14263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14263With loss 0.1267430099331721 epoch: 14264 Epoch 14264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14264With loss 0.1267430099331721 epoch: 14265 Epoch 14265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14265With loss 0.1267430099331721 epoch: 14266 Epoch 14266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14266With loss 0.1267430099331721 epoch: 14267 Epoch 14267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14267With loss 0.1267430099331721 epoch: 14268 Epoch 14268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14268With loss 0.1267430099331721 epoch: 14269 Epoch 14269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14269With loss 0.1267430099331721 epoch: 14270 Epoch 14270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14270With loss 0.1267430099331721 epoch: 14271 Epoch 14271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14271With loss 0.1267430099331721 epoch: 14272 Epoch 14272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14272With loss 0.1267430099331721 epoch: 14273 Epoch 14273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14273With loss 0.1267430099331721 epoch: 14274 Epoch 14274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14274With loss 0.1267430099331721 epoch: 14275 Epoch 14275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14275With loss 0.1267430099331721 epoch: 14276 Epoch 14276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14276With loss 0.1267430099331721 epoch: 14277 Epoch 14277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14277With loss 0.1267430099331721 epoch: 14278 Epoch 14278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14278With loss 0.1267430099331721 epoch: 14279 Epoch 14279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14279With loss 0.1267430099331721 epoch: 14280 Epoch 14280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14280With loss 0.1267430099331721 epoch: 14281 Epoch 14281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14281With loss 0.1267430099331721 epoch: 14282 Epoch 14282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14282With loss 0.1267430099331721 epoch: 14283 Epoch 14283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14283With loss 0.1267430099331721 epoch: 14284 Epoch 14284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14284With loss 0.1267430099331721 epoch: 14285 Epoch 14285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14285With loss 0.1267430099331721 epoch: 14286 Epoch 14286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14286With loss 0.1267430099331721 epoch: 14287 Epoch 14287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14287With loss 0.1267430099331721 epoch: 14288 Epoch 14288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14288With loss 0.1267430099331721 epoch: 14289 Epoch 14289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14289With loss 0.1267430099331721 epoch: 14290 Epoch 14290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14290With loss 0.1267430099331721 epoch: 14291 Epoch 14291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14291With loss 0.1267430099331721 epoch: 14292 Epoch 14292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14292With loss 0.1267430099331721 epoch: 14293 Epoch 14293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14293With loss 0.1267430099331721 epoch: 14294 Epoch 14294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14294With loss 0.1267430099331721 epoch: 14295 Epoch 14295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14295With loss 0.1267430099331721 epoch: 14296 Epoch 14296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14296With loss 0.1267430099331721 epoch: 14297 Epoch 14297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14297With loss 0.1267430099331721 epoch: 14298 Epoch 14298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14298With loss 0.1267430099331721 epoch: 14299 Epoch 14299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14299With loss 0.1267430099331721 epoch: 14300 Epoch 14300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14300With loss 0.1267430099331721 epoch: 14301 Epoch 14301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14301With loss 0.1267430099331721 epoch: 14302 Epoch 14302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14302With loss 0.1267430099331721 epoch: 14303 Epoch 14303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14303With loss 0.1267430099331721 epoch: 14304 Epoch 14304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14304With loss 0.1267430099331721 epoch: 14305 Epoch 14305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14305With loss 0.1267430099331721 epoch: 14306 Epoch 14306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14306With loss 0.1267430099331721 epoch: 14307 Epoch 14307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14307With loss 0.1267430099331721 epoch: 14308 Epoch 14308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14308With loss 0.1267430099331721 epoch: 14309 Epoch 14309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14309With loss 0.1267430099331721 epoch: 14310 Epoch 14310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14310With loss 0.1267430099331721 epoch: 14311 Epoch 14311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14311With loss 0.1267430099331721 epoch: 14312 Epoch 14312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14312With loss 0.1267430099331721 epoch: 14313 Epoch 14313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14313With loss 0.1267430099331721 epoch: 14314 Epoch 14314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14314With loss 0.1267430099331721 epoch: 14315 Epoch 14315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14315With loss 0.1267430099331721 epoch: 14316 Epoch 14316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14316With loss 0.1267430099331721 epoch: 14317 Epoch 14317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14317With loss 0.1267430099331721 epoch: 14318 Epoch 14318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14318With loss 0.1267430099331721 epoch: 14319 Epoch 14319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14319With loss 0.1267430099331721 epoch: 14320 Epoch 14320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14320With loss 0.1267430099331721 epoch: 14321 Epoch 14321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14321With loss 0.1267430099331721 epoch: 14322 Epoch 14322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14322With loss 0.1267430099331721 epoch: 14323 Epoch 14323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14323With loss 0.1267430099331721 epoch: 14324 Epoch 14324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14324With loss 0.1267430099331721 epoch: 14325 Epoch 14325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14325With loss 0.1267430099331721 epoch: 14326 Epoch 14326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14326With loss 0.1267430099331721 epoch: 14327 Epoch 14327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14327With loss 0.1267430099331721 epoch: 14328 Epoch 14328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14328With loss 0.1267430099331721 epoch: 14329 Epoch 14329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14329With loss 0.1267430099331721 epoch: 14330 Epoch 14330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14330With loss 0.1267430099331721 epoch: 14331 Epoch 14331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14331With loss 0.1267430099331721 epoch: 14332 Epoch 14332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14332With loss 0.1267430099331721 epoch: 14333 Epoch 14333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14333With loss 0.1267430099331721 epoch: 14334 Epoch 14334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14334With loss 0.1267430099331721 epoch: 14335 Epoch 14335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14335With loss 0.1267430099331721 epoch: 14336 Epoch 14336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14336With loss 0.1267430099331721 epoch: 14337 Epoch 14337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14337With loss 0.1267430099331721 epoch: 14338 Epoch 14338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14338With loss 0.1267430099331721 epoch: 14339 Epoch 14339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14339With loss 0.1267430099331721 epoch: 14340 Epoch 14340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14340With loss 0.1267430099331721 epoch: 14341 Epoch 14341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14341With loss 0.1267430099331721 epoch: 14342 Epoch 14342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14342With loss 0.1267430099331721 epoch: 14343 Epoch 14343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14343With loss 0.1267430099331721 epoch: 14344 Epoch 14344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14344With loss 0.1267430099331721 epoch: 14345 Epoch 14345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14345With loss 0.1267430099331721 epoch: 14346 Epoch 14346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14346With loss 0.1267430099331721 epoch: 14347 Epoch 14347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14347With loss 0.1267430099331721 epoch: 14348 Epoch 14348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14348With loss 0.1267430099331721 epoch: 14349 Epoch 14349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14349With loss 0.1267430099331721 epoch: 14350 Epoch 14350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14350With loss 0.1267430099331721 epoch: 14351 Epoch 14351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14351With loss 0.1267430099331721 epoch: 14352 Epoch 14352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14352With loss 0.1267430099331721 epoch: 14353 Epoch 14353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14353With loss 0.1267430099331721 epoch: 14354 Epoch 14354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14354With loss 0.1267430099331721 epoch: 14355 Epoch 14355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14355With loss 0.1267430099331721 epoch: 14356 Epoch 14356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14356With loss 0.1267430099331721 epoch: 14357 Epoch 14357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14357With loss 0.1267430099331721 epoch: 14358 Epoch 14358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14358With loss 0.1267430099331721 epoch: 14359 Epoch 14359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14359With loss 0.1267430099331721 epoch: 14360 Epoch 14360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14360With loss 0.1267430099331721 epoch: 14361 Epoch 14361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14361With loss 0.1267430099331721 epoch: 14362 Epoch 14362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14362With loss 0.1267430099331721 epoch: 14363 Epoch 14363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14363With loss 0.1267430099331721 epoch: 14364 Epoch 14364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14364With loss 0.1267430099331721 epoch: 14365 Epoch 14365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14365With loss 0.1267430099331721 epoch: 14366 Epoch 14366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14366With loss 0.1267430099331721 epoch: 14367 Epoch 14367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14367With loss 0.1267430099331721 epoch: 14368 Epoch 14368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14368With loss 0.1267430099331721 epoch: 14369 Epoch 14369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14369With loss 0.1267430099331721 epoch: 14370 Epoch 14370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14370With loss 0.1267430099331721 epoch: 14371 Epoch 14371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14371With loss 0.1267430099331721 epoch: 14372 Epoch 14372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14372With loss 0.1267430099331721 epoch: 14373 Epoch 14373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14373With loss 0.1267430099331721 epoch: 14374 Epoch 14374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14374With loss 0.1267430099331721 epoch: 14375 Epoch 14375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14375With loss 0.1267430099331721 epoch: 14376 Epoch 14376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14376With loss 0.1267430099331721 epoch: 14377 Epoch 14377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14377With loss 0.1267430099331721 epoch: 14378 Epoch 14378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14378With loss 0.1267430099331721 epoch: 14379 Epoch 14379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14379With loss 0.1267430099331721 epoch: 14380 Epoch 14380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14380With loss 0.1267430099331721 epoch: 14381 Epoch 14381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14381With loss 0.1267430099331721 epoch: 14382 Epoch 14382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14382With loss 0.1267430099331721 epoch: 14383 Epoch 14383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14383With loss 0.1267430099331721 epoch: 14384 Epoch 14384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14384With loss 0.1267430099331721 epoch: 14385 Epoch 14385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14385With loss 0.1267430099331721 epoch: 14386 Epoch 14386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14386With loss 0.1267430099331721 epoch: 14387 Epoch 14387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14387With loss 0.1267430099331721 epoch: 14388 Epoch 14388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14388With loss 0.1267430099331721 epoch: 14389 Epoch 14389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14389With loss 0.1267430099331721 epoch: 14390 Epoch 14390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14390With loss 0.1267430099331721 epoch: 14391 Epoch 14391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14391With loss 0.1267430099331721 epoch: 14392 Epoch 14392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14392With loss 0.1267430099331721 epoch: 14393 Epoch 14393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14393With loss 0.1267430099331721 epoch: 14394 Epoch 14394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14394With loss 0.1267430099331721 epoch: 14395 Epoch 14395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14395With loss 0.1267430099331721 epoch: 14396 Epoch 14396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14396With loss 0.1267430099331721 epoch: 14397 Epoch 14397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14397With loss 0.1267430099331721 epoch: 14398 Epoch 14398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14398With loss 0.1267430099331721 epoch: 14399 Epoch 14399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14399With loss 0.1267430099331721 epoch: 14400 Epoch 14400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14400With loss 0.1267430099331721 epoch: 14401 Epoch 14401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14401With loss 0.1267430099331721 epoch: 14402 Epoch 14402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14402With loss 0.1267430099331721 epoch: 14403 Epoch 14403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14403With loss 0.1267430099331721 epoch: 14404 Epoch 14404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14404With loss 0.1267430099331721 epoch: 14405 Epoch 14405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14405With loss 0.1267430099331721 epoch: 14406 Epoch 14406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14406With loss 0.1267430099331721 epoch: 14407 Epoch 14407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14407With loss 0.1267430099331721 epoch: 14408 Epoch 14408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14408With loss 0.1267430099331721 epoch: 14409 Epoch 14409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14409With loss 0.1267430099331721 epoch: 14410 Epoch 14410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14410With loss 0.1267430099331721 epoch: 14411 Epoch 14411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14411With loss 0.1267430099331721 epoch: 14412 Epoch 14412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14412With loss 0.1267430099331721 epoch: 14413 Epoch 14413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14413With loss 0.1267430099331721 epoch: 14414 Epoch 14414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14414With loss 0.1267430099331721 epoch: 14415 Epoch 14415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14415With loss 0.1267430099331721 epoch: 14416 Epoch 14416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14416With loss 0.1267430099331721 epoch: 14417 Epoch 14417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14417With loss 0.1267430099331721 epoch: 14418 Epoch 14418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14418With loss 0.1267430099331721 epoch: 14419 Epoch 14419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14419With loss 0.1267430099331721 epoch: 14420 Epoch 14420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14420With loss 0.1267430099331721 epoch: 14421 Epoch 14421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14421With loss 0.1267430099331721 epoch: 14422 Epoch 14422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14422With loss 0.1267430099331721 epoch: 14423 Epoch 14423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14423With loss 0.1267430099331721 epoch: 14424 Epoch 14424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14424With loss 0.1267430099331721 epoch: 14425 Epoch 14425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14425With loss 0.1267430099331721 epoch: 14426 Epoch 14426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14426With loss 0.1267430099331721 epoch: 14427 Epoch 14427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14427With loss 0.1267430099331721 epoch: 14428 Epoch 14428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14428With loss 0.1267430099331721 epoch: 14429 Epoch 14429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14429With loss 0.1267430099331721 epoch: 14430 Epoch 14430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14430With loss 0.1267430099331721 epoch: 14431 Epoch 14431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14431With loss 0.1267430099331721 epoch: 14432 Epoch 14432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14432With loss 0.1267430099331721 epoch: 14433 Epoch 14433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14433With loss 0.1267430099331721 epoch: 14434 Epoch 14434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14434With loss 0.1267430099331721 epoch: 14435 Epoch 14435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14435With loss 0.1267430099331721 epoch: 14436 Epoch 14436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14436With loss 0.1267430099331721 epoch: 14437 Epoch 14437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14437With loss 0.1267430099331721 epoch: 14438 Epoch 14438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14438With loss 0.1267430099331721 epoch: 14439 Epoch 14439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14439With loss 0.1267430099331721 epoch: 14440 Epoch 14440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14440With loss 0.1267430099331721 epoch: 14441 Epoch 14441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14441With loss 0.1267430099331721 epoch: 14442 Epoch 14442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14442With loss 0.1267430099331721 epoch: 14443 Epoch 14443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14443With loss 0.1267430099331721 epoch: 14444 Epoch 14444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14444With loss 0.1267430099331721 epoch: 14445 Epoch 14445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14445With loss 0.1267430099331721 epoch: 14446 Epoch 14446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14446With loss 0.1267430099331721 epoch: 14447 Epoch 14447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14447With loss 0.1267430099331721 epoch: 14448 Epoch 14448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14448With loss 0.1267430099331721 epoch: 14449 Epoch 14449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14449With loss 0.1267430099331721 epoch: 14450 Epoch 14450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14450With loss 0.1267430099331721 epoch: 14451 Epoch 14451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14451With loss 0.1267430099331721 epoch: 14452 Epoch 14452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14452With loss 0.1267430099331721 epoch: 14453 Epoch 14453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14453With loss 0.1267430099331721 epoch: 14454 Epoch 14454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14454With loss 0.1267430099331721 epoch: 14455 Epoch 14455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14455With loss 0.1267430099331721 epoch: 14456 Epoch 14456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14456With loss 0.1267430099331721 epoch: 14457 Epoch 14457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14457With loss 0.1267430099331721 epoch: 14458 Epoch 14458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14458With loss 0.1267430099331721 epoch: 14459 Epoch 14459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14459With loss 0.1267430099331721 epoch: 14460 Epoch 14460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14460With loss 0.1267430099331721 epoch: 14461 Epoch 14461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14461With loss 0.1267430099331721 epoch: 14462 Epoch 14462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14462With loss 0.1267430099331721 epoch: 14463 Epoch 14463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14463With loss 0.1267430099331721 epoch: 14464 Epoch 14464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14464With loss 0.1267430099331721 epoch: 14465 Epoch 14465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14465With loss 0.1267430099331721 epoch: 14466 Epoch 14466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14466With loss 0.1267430099331721 epoch: 14467 Epoch 14467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14467With loss 0.1267430099331721 epoch: 14468 Epoch 14468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14468With loss 0.1267430099331721 epoch: 14469 Epoch 14469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14469With loss 0.1267430099331721 epoch: 14470 Epoch 14470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14470With loss 0.1267430099331721 epoch: 14471 Epoch 14471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14471With loss 0.1267430099331721 epoch: 14472 Epoch 14472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14472With loss 0.1267430099331721 epoch: 14473 Epoch 14473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14473With loss 0.1267430099331721 epoch: 14474 Epoch 14474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14474With loss 0.1267430099331721 epoch: 14475 Epoch 14475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14475With loss 0.1267430099331721 epoch: 14476 Epoch 14476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14476With loss 0.1267430099331721 epoch: 14477 Epoch 14477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14477With loss 0.1267430099331721 epoch: 14478 Epoch 14478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14478With loss 0.1267430099331721 epoch: 14479 Epoch 14479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14479With loss 0.1267430099331721 epoch: 14480 Epoch 14480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14480With loss 0.1267430099331721 epoch: 14481 Epoch 14481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14481With loss 0.1267430099331721 epoch: 14482 Epoch 14482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14482With loss 0.1267430099331721 epoch: 14483 Epoch 14483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14483With loss 0.1267430099331721 epoch: 14484 Epoch 14484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14484With loss 0.1267430099331721 epoch: 14485 Epoch 14485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14485With loss 0.1267430099331721 epoch: 14486 Epoch 14486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14486With loss 0.1267430099331721 epoch: 14487 Epoch 14487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14487With loss 0.1267430099331721 epoch: 14488 Epoch 14488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14488With loss 0.1267430099331721 epoch: 14489 Epoch 14489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14489With loss 0.1267430099331721 epoch: 14490 Epoch 14490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14490With loss 0.1267430099331721 epoch: 14491 Epoch 14491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14491With loss 0.1267430099331721 epoch: 14492 Epoch 14492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14492With loss 0.1267430099331721 epoch: 14493 Epoch 14493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14493With loss 0.1267430099331721 epoch: 14494 Epoch 14494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14494With loss 0.1267430099331721 epoch: 14495 Epoch 14495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14495With loss 0.1267430099331721 epoch: 14496 Epoch 14496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14496With loss 0.1267430099331721 epoch: 14497 Epoch 14497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14497With loss 0.1267430099331721 epoch: 14498 Epoch 14498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14498With loss 0.1267430099331721 epoch: 14499 Epoch 14499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14499With loss 0.1267430099331721 epoch: 14500 Epoch 14500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14500With loss 0.1267430099331721 epoch: 14501 Epoch 14501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14501With loss 0.1267430099331721 epoch: 14502 Epoch 14502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14502With loss 0.1267430099331721 epoch: 14503 Epoch 14503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14503With loss 0.1267430099331721 epoch: 14504 Epoch 14504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14504With loss 0.1267430099331721 epoch: 14505 Epoch 14505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14505With loss 0.1267430099331721 epoch: 14506 Epoch 14506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14506With loss 0.1267430099331721 epoch: 14507 Epoch 14507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14507With loss 0.1267430099331721 epoch: 14508 Epoch 14508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14508With loss 0.1267430099331721 epoch: 14509 Epoch 14509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14509With loss 0.1267430099331721 epoch: 14510 Epoch 14510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14510With loss 0.1267430099331721 epoch: 14511 Epoch 14511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14511With loss 0.1267430099331721 epoch: 14512 Epoch 14512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14512With loss 0.1267430099331721 epoch: 14513 Epoch 14513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14513With loss 0.1267430099331721 epoch: 14514 Epoch 14514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14514With loss 0.1267430099331721 epoch: 14515 Epoch 14515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14515With loss 0.1267430099331721 epoch: 14516 Epoch 14516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14516With loss 0.1267430099331721 epoch: 14517 Epoch 14517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14517With loss 0.1267430099331721 epoch: 14518 Epoch 14518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14518With loss 0.1267430099331721 epoch: 14519 Epoch 14519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14519With loss 0.1267430099331721 epoch: 14520 Epoch 14520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14520With loss 0.1267430099331721 epoch: 14521 Epoch 14521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14521With loss 0.1267430099331721 epoch: 14522 Epoch 14522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14522With loss 0.1267430099331721 epoch: 14523 Epoch 14523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14523With loss 0.1267430099331721 epoch: 14524 Epoch 14524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14524With loss 0.1267430099331721 epoch: 14525 Epoch 14525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14525With loss 0.1267430099331721 epoch: 14526 Epoch 14526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14526With loss 0.1267430099331721 epoch: 14527 Epoch 14527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14527With loss 0.1267430099331721 epoch: 14528 Epoch 14528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14528With loss 0.1267430099331721 epoch: 14529 Epoch 14529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14529With loss 0.1267430099331721 epoch: 14530 Epoch 14530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14530With loss 0.1267430099331721 epoch: 14531 Epoch 14531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14531With loss 0.1267430099331721 epoch: 14532 Epoch 14532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14532With loss 0.1267430099331721 epoch: 14533 Epoch 14533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14533With loss 0.1267430099331721 epoch: 14534 Epoch 14534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14534With loss 0.1267430099331721 epoch: 14535 Epoch 14535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14535With loss 0.1267430099331721 epoch: 14536 Epoch 14536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14536With loss 0.1267430099331721 epoch: 14537 Epoch 14537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14537With loss 0.1267430099331721 epoch: 14538 Epoch 14538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14538With loss 0.1267430099331721 epoch: 14539 Epoch 14539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14539With loss 0.1267430099331721 epoch: 14540 Epoch 14540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14540With loss 0.1267430099331721 epoch: 14541 Epoch 14541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14541With loss 0.1267430099331721 epoch: 14542 Epoch 14542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14542With loss 0.1267430099331721 epoch: 14543 Epoch 14543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14543With loss 0.1267430099331721 epoch: 14544 Epoch 14544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14544With loss 0.1267430099331721 epoch: 14545 Epoch 14545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14545With loss 0.1267430099331721 epoch: 14546 Epoch 14546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14546With loss 0.1267430099331721 epoch: 14547 Epoch 14547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14547With loss 0.1267430099331721 epoch: 14548 Epoch 14548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14548With loss 0.1267430099331721 epoch: 14549 Epoch 14549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14549With loss 0.1267430099331721 epoch: 14550 Epoch 14550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14550With loss 0.1267430099331721 epoch: 14551 Epoch 14551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14551With loss 0.1267430099331721 epoch: 14552 Epoch 14552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14552With loss 0.1267430099331721 epoch: 14553 Epoch 14553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14553With loss 0.1267430099331721 epoch: 14554 Epoch 14554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14554With loss 0.1267430099331721 epoch: 14555 Epoch 14555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14555With loss 0.1267430099331721 epoch: 14556 Epoch 14556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14556With loss 0.1267430099331721 epoch: 14557 Epoch 14557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14557With loss 0.1267430099331721 epoch: 14558 Epoch 14558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14558With loss 0.1267430099331721 epoch: 14559 Epoch 14559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14559With loss 0.1267430099331721 epoch: 14560 Epoch 14560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14560With loss 0.1267430099331721 epoch: 14561 Epoch 14561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14561With loss 0.1267430099331721 epoch: 14562 Epoch 14562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14562With loss 0.1267430099331721 epoch: 14563 Epoch 14563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14563With loss 0.1267430099331721 epoch: 14564 Epoch 14564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14564With loss 0.1267430099331721 epoch: 14565 Epoch 14565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14565With loss 0.1267430099331721 epoch: 14566 Epoch 14566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14566With loss 0.1267430099331721 epoch: 14567 Epoch 14567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14567With loss 0.1267430099331721 epoch: 14568 Epoch 14568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14568With loss 0.1267430099331721 epoch: 14569 Epoch 14569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14569With loss 0.1267430099331721 epoch: 14570 Epoch 14570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14570With loss 0.1267430099331721 epoch: 14571 Epoch 14571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14571With loss 0.1267430099331721 epoch: 14572 Epoch 14572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14572With loss 0.1267430099331721 epoch: 14573 Epoch 14573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14573With loss 0.1267430099331721 epoch: 14574 Epoch 14574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14574With loss 0.1267430099331721 epoch: 14575 Epoch 14575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14575With loss 0.1267430099331721 epoch: 14576 Epoch 14576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14576With loss 0.1267430099331721 epoch: 14577 Epoch 14577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14577With loss 0.1267430099331721 epoch: 14578 Epoch 14578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14578With loss 0.1267430099331721 epoch: 14579 Epoch 14579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14579With loss 0.1267430099331721 epoch: 14580 Epoch 14580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14580With loss 0.1267430099331721 epoch: 14581 Epoch 14581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14581With loss 0.1267430099331721 epoch: 14582 Epoch 14582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14582With loss 0.1267430099331721 epoch: 14583 Epoch 14583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14583With loss 0.1267430099331721 epoch: 14584 Epoch 14584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14584With loss 0.1267430099331721 epoch: 14585 Epoch 14585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14585With loss 0.1267430099331721 epoch: 14586 Epoch 14586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14586With loss 0.1267430099331721 epoch: 14587 Epoch 14587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14587With loss 0.1267430099331721 epoch: 14588 Epoch 14588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14588With loss 0.1267430099331721 epoch: 14589 Epoch 14589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14589With loss 0.1267430099331721 epoch: 14590 Epoch 14590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14590With loss 0.1267430099331721 epoch: 14591 Epoch 14591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14591With loss 0.1267430099331721 epoch: 14592 Epoch 14592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14592With loss 0.1267430099331721 epoch: 14593 Epoch 14593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14593With loss 0.1267430099331721 epoch: 14594 Epoch 14594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14594With loss 0.1267430099331721 epoch: 14595 Epoch 14595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14595With loss 0.1267430099331721 epoch: 14596 Epoch 14596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14596With loss 0.1267430099331721 epoch: 14597 Epoch 14597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14597With loss 0.1267430099331721 epoch: 14598 Epoch 14598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14598With loss 0.1267430099331721 epoch: 14599 Epoch 14599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14599With loss 0.1267430099331721 epoch: 14600 Epoch 14600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14600With loss 0.1267430099331721 epoch: 14601 Epoch 14601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14601With loss 0.1267430099331721 epoch: 14602 Epoch 14602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14602With loss 0.1267430099331721 epoch: 14603 Epoch 14603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14603With loss 0.1267430099331721 epoch: 14604 Epoch 14604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14604With loss 0.1267430099331721 epoch: 14605 Epoch 14605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14605With loss 0.1267430099331721 epoch: 14606 Epoch 14606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14606With loss 0.1267430099331721 epoch: 14607 Epoch 14607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14607With loss 0.1267430099331721 epoch: 14608 Epoch 14608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14608With loss 0.1267430099331721 epoch: 14609 Epoch 14609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14609With loss 0.1267430099331721 epoch: 14610 Epoch 14610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14610With loss 0.1267430099331721 epoch: 14611 Epoch 14611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14611With loss 0.1267430099331721 epoch: 14612 Epoch 14612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14612With loss 0.1267430099331721 epoch: 14613 Epoch 14613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14613With loss 0.1267430099331721 epoch: 14614 Epoch 14614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14614With loss 0.1267430099331721 epoch: 14615 Epoch 14615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14615With loss 0.1267430099331721 epoch: 14616 Epoch 14616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14616With loss 0.1267430099331721 epoch: 14617 Epoch 14617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14617With loss 0.1267430099331721 epoch: 14618 Epoch 14618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14618With loss 0.1267430099331721 epoch: 14619 Epoch 14619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14619With loss 0.1267430099331721 epoch: 14620 Epoch 14620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14620With loss 0.1267430099331721 epoch: 14621 Epoch 14621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14621With loss 0.1267430099331721 epoch: 14622 Epoch 14622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14622With loss 0.1267430099331721 epoch: 14623 Epoch 14623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14623With loss 0.1267430099331721 epoch: 14624 Epoch 14624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14624With loss 0.1267430099331721 epoch: 14625 Epoch 14625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14625With loss 0.1267430099331721 epoch: 14626 Epoch 14626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14626With loss 0.1267430099331721 epoch: 14627 Epoch 14627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14627With loss 0.1267430099331721 epoch: 14628 Epoch 14628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14628With loss 0.1267430099331721 epoch: 14629 Epoch 14629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14629With loss 0.1267430099331721 epoch: 14630 Epoch 14630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14630With loss 0.1267430099331721 epoch: 14631 Epoch 14631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14631With loss 0.1267430099331721 epoch: 14632 Epoch 14632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14632With loss 0.1267430099331721 epoch: 14633 Epoch 14633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14633With loss 0.1267430099331721 epoch: 14634 Epoch 14634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14634With loss 0.1267430099331721 epoch: 14635 Epoch 14635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14635With loss 0.1267430099331721 epoch: 14636 Epoch 14636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14636With loss 0.1267430099331721 epoch: 14637 Epoch 14637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14637With loss 0.1267430099331721 epoch: 14638 Epoch 14638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14638With loss 0.1267430099331721 epoch: 14639 Epoch 14639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14639With loss 0.1267430099331721 epoch: 14640 Epoch 14640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14640With loss 0.1267430099331721 epoch: 14641 Epoch 14641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14641With loss 0.1267430099331721 epoch: 14642 Epoch 14642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14642With loss 0.1267430099331721 epoch: 14643 Epoch 14643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14643With loss 0.1267430099331721 epoch: 14644 Epoch 14644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14644With loss 0.1267430099331721 epoch: 14645 Epoch 14645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14645With loss 0.1267430099331721 epoch: 14646 Epoch 14646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14646With loss 0.1267430099331721 epoch: 14647 Epoch 14647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14647With loss 0.1267430099331721 epoch: 14648 Epoch 14648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14648With loss 0.1267430099331721 epoch: 14649 Epoch 14649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14649With loss 0.1267430099331721 epoch: 14650 Epoch 14650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14650With loss 0.1267430099331721 epoch: 14651 Epoch 14651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14651With loss 0.1267430099331721 epoch: 14652 Epoch 14652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14652With loss 0.1267430099331721 epoch: 14653 Epoch 14653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14653With loss 0.1267430099331721 epoch: 14654 Epoch 14654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14654With loss 0.1267430099331721 epoch: 14655 Epoch 14655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14655With loss 0.1267430099331721 epoch: 14656 Epoch 14656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14656With loss 0.1267430099331721 epoch: 14657 Epoch 14657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14657With loss 0.1267430099331721 epoch: 14658 Epoch 14658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14658With loss 0.1267430099331721 epoch: 14659 Epoch 14659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14659With loss 0.1267430099331721 epoch: 14660 Epoch 14660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14660With loss 0.1267430099331721 epoch: 14661 Epoch 14661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14661With loss 0.1267430099331721 epoch: 14662 Epoch 14662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14662With loss 0.1267430099331721 epoch: 14663 Epoch 14663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14663With loss 0.1267430099331721 epoch: 14664 Epoch 14664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14664With loss 0.1267430099331721 epoch: 14665 Epoch 14665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14665With loss 0.1267430099331721 epoch: 14666 Epoch 14666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14666With loss 0.1267430099331721 epoch: 14667 Epoch 14667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14667With loss 0.1267430099331721 epoch: 14668 Epoch 14668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14668With loss 0.1267430099331721 epoch: 14669 Epoch 14669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14669With loss 0.1267430099331721 epoch: 14670 Epoch 14670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14670With loss 0.1267430099331721 epoch: 14671 Epoch 14671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14671With loss 0.1267430099331721 epoch: 14672 Epoch 14672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14672With loss 0.1267430099331721 epoch: 14673 Epoch 14673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14673With loss 0.1267430099331721 epoch: 14674 Epoch 14674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14674With loss 0.1267430099331721 epoch: 14675 Epoch 14675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14675With loss 0.1267430099331721 epoch: 14676 Epoch 14676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14676With loss 0.1267430099331721 epoch: 14677 Epoch 14677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14677With loss 0.1267430099331721 epoch: 14678 Epoch 14678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14678With loss 0.1267430099331721 epoch: 14679 Epoch 14679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14679With loss 0.1267430099331721 epoch: 14680 Epoch 14680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14680With loss 0.1267430099331721 epoch: 14681 Epoch 14681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14681With loss 0.1267430099331721 epoch: 14682 Epoch 14682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14682With loss 0.1267430099331721 epoch: 14683 Epoch 14683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14683With loss 0.1267430099331721 epoch: 14684 Epoch 14684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14684With loss 0.1267430099331721 epoch: 14685 Epoch 14685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14685With loss 0.1267430099331721 epoch: 14686 Epoch 14686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14686With loss 0.1267430099331721 epoch: 14687 Epoch 14687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14687With loss 0.1267430099331721 epoch: 14688 Epoch 14688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14688With loss 0.1267430099331721 epoch: 14689 Epoch 14689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14689With loss 0.1267430099331721 epoch: 14690 Epoch 14690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14690With loss 0.1267430099331721 epoch: 14691 Epoch 14691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14691With loss 0.1267430099331721 epoch: 14692 Epoch 14692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14692With loss 0.1267430099331721 epoch: 14693 Epoch 14693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14693With loss 0.1267430099331721 epoch: 14694 Epoch 14694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14694With loss 0.1267430099331721 epoch: 14695 Epoch 14695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14695With loss 0.1267430099331721 epoch: 14696 Epoch 14696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14696With loss 0.1267430099331721 epoch: 14697 Epoch 14697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14697With loss 0.1267430099331721 epoch: 14698 Epoch 14698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14698With loss 0.1267430099331721 epoch: 14699 Epoch 14699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14699With loss 0.1267430099331721 epoch: 14700 Epoch 14700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14700With loss 0.1267430099331721 epoch: 14701 Epoch 14701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14701With loss 0.1267430099331721 epoch: 14702 Epoch 14702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14702With loss 0.1267430099331721 epoch: 14703 Epoch 14703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14703With loss 0.1267430099331721 epoch: 14704 Epoch 14704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14704With loss 0.1267430099331721 epoch: 14705 Epoch 14705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14705With loss 0.1267430099331721 epoch: 14706 Epoch 14706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14706With loss 0.1267430099331721 epoch: 14707 Epoch 14707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14707With loss 0.1267430099331721 epoch: 14708 Epoch 14708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14708With loss 0.1267430099331721 epoch: 14709 Epoch 14709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14709With loss 0.1267430099331721 epoch: 14710 Epoch 14710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14710With loss 0.1267430099331721 epoch: 14711 Epoch 14711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14711With loss 0.1267430099331721 epoch: 14712 Epoch 14712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14712With loss 0.1267430099331721 epoch: 14713 Epoch 14713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14713With loss 0.1267430099331721 epoch: 14714 Epoch 14714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14714With loss 0.1267430099331721 epoch: 14715 Epoch 14715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14715With loss 0.1267430099331721 epoch: 14716 Epoch 14716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14716With loss 0.1267430099331721 epoch: 14717 Epoch 14717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14717With loss 0.1267430099331721 epoch: 14718 Epoch 14718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14718With loss 0.1267430099331721 epoch: 14719 Epoch 14719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14719With loss 0.1267430099331721 epoch: 14720 Epoch 14720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14720With loss 0.1267430099331721 epoch: 14721 Epoch 14721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14721With loss 0.1267430099331721 epoch: 14722 Epoch 14722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14722With loss 0.1267430099331721 epoch: 14723 Epoch 14723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14723With loss 0.1267430099331721 epoch: 14724 Epoch 14724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14724With loss 0.1267430099331721 epoch: 14725 Epoch 14725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14725With loss 0.1267430099331721 epoch: 14726 Epoch 14726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14726With loss 0.1267430099331721 epoch: 14727 Epoch 14727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14727With loss 0.1267430099331721 epoch: 14728 Epoch 14728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14728With loss 0.1267430099331721 epoch: 14729 Epoch 14729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14729With loss 0.1267430099331721 epoch: 14730 Epoch 14730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14730With loss 0.1267430099331721 epoch: 14731 Epoch 14731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14731With loss 0.1267430099331721 epoch: 14732 Epoch 14732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14732With loss 0.1267430099331721 epoch: 14733 Epoch 14733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14733With loss 0.1267430099331721 epoch: 14734 Epoch 14734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14734With loss 0.1267430099331721 epoch: 14735 Epoch 14735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14735With loss 0.1267430099331721 epoch: 14736 Epoch 14736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14736With loss 0.1267430099331721 epoch: 14737 Epoch 14737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14737With loss 0.1267430099331721 epoch: 14738 Epoch 14738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14738With loss 0.1267430099331721 epoch: 14739 Epoch 14739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14739With loss 0.1267430099331721 epoch: 14740 Epoch 14740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14740With loss 0.1267430099331721 epoch: 14741 Epoch 14741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14741With loss 0.1267430099331721 epoch: 14742 Epoch 14742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14742With loss 0.1267430099331721 epoch: 14743 Epoch 14743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14743With loss 0.1267430099331721 epoch: 14744 Epoch 14744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14744With loss 0.1267430099331721 epoch: 14745 Epoch 14745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14745With loss 0.1267430099331721 epoch: 14746 Epoch 14746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14746With loss 0.1267430099331721 epoch: 14747 Epoch 14747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14747With loss 0.1267430099331721 epoch: 14748 Epoch 14748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14748With loss 0.1267430099331721 epoch: 14749 Epoch 14749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14749With loss 0.1267430099331721 epoch: 14750 Epoch 14750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14750With loss 0.1267430099331721 epoch: 14751 Epoch 14751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14751With loss 0.1267430099331721 epoch: 14752 Epoch 14752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14752With loss 0.1267430099331721 epoch: 14753 Epoch 14753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14753With loss 0.1267430099331721 epoch: 14754 Epoch 14754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14754With loss 0.1267430099331721 epoch: 14755 Epoch 14755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14755With loss 0.1267430099331721 epoch: 14756 Epoch 14756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14756With loss 0.1267430099331721 epoch: 14757 Epoch 14757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14757With loss 0.1267430099331721 epoch: 14758 Epoch 14758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14758With loss 0.1267430099331721 epoch: 14759 Epoch 14759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14759With loss 0.1267430099331721 epoch: 14760 Epoch 14760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14760With loss 0.1267430099331721 epoch: 14761 Epoch 14761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14761With loss 0.1267430099331721 epoch: 14762 Epoch 14762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14762With loss 0.1267430099331721 epoch: 14763 Epoch 14763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14763With loss 0.1267430099331721 epoch: 14764 Epoch 14764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14764With loss 0.1267430099331721 epoch: 14765 Epoch 14765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14765With loss 0.1267430099331721 epoch: 14766 Epoch 14766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14766With loss 0.1267430099331721 epoch: 14767 Epoch 14767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14767With loss 0.1267430099331721 epoch: 14768 Epoch 14768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14768With loss 0.1267430099331721 epoch: 14769 Epoch 14769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14769With loss 0.1267430099331721 epoch: 14770 Epoch 14770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14770With loss 0.1267430099331721 epoch: 14771 Epoch 14771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14771With loss 0.1267430099331721 epoch: 14772 Epoch 14772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14772With loss 0.1267430099331721 epoch: 14773 Epoch 14773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14773With loss 0.1267430099331721 epoch: 14774 Epoch 14774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14774With loss 0.1267430099331721 epoch: 14775 Epoch 14775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14775With loss 0.1267430099331721 epoch: 14776 Epoch 14776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14776With loss 0.1267430099331721 epoch: 14777 Epoch 14777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14777With loss 0.1267430099331721 epoch: 14778 Epoch 14778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14778With loss 0.1267430099331721 epoch: 14779 Epoch 14779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14779With loss 0.1267430099331721 epoch: 14780 Epoch 14780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14780With loss 0.1267430099331721 epoch: 14781 Epoch 14781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14781With loss 0.1267430099331721 epoch: 14782 Epoch 14782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14782With loss 0.1267430099331721 epoch: 14783 Epoch 14783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14783With loss 0.1267430099331721 epoch: 14784 Epoch 14784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14784With loss 0.1267430099331721 epoch: 14785 Epoch 14785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14785With loss 0.1267430099331721 epoch: 14786 Epoch 14786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14786With loss 0.1267430099331721 epoch: 14787 Epoch 14787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14787With loss 0.1267430099331721 epoch: 14788 Epoch 14788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14788With loss 0.1267430099331721 epoch: 14789 Epoch 14789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14789With loss 0.1267430099331721 epoch: 14790 Epoch 14790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14790With loss 0.1267430099331721 epoch: 14791 Epoch 14791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14791With loss 0.1267430099331721 epoch: 14792 Epoch 14792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14792With loss 0.1267430099331721 epoch: 14793 Epoch 14793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14793With loss 0.1267430099331721 epoch: 14794 Epoch 14794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14794With loss 0.1267430099331721 epoch: 14795 Epoch 14795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14795With loss 0.1267430099331721 epoch: 14796 Epoch 14796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14796With loss 0.1267430099331721 epoch: 14797 Epoch 14797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14797With loss 0.1267430099331721 epoch: 14798 Epoch 14798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14798With loss 0.1267430099331721 epoch: 14799 Epoch 14799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14799With loss 0.1267430099331721 epoch: 14800 Epoch 14800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14800With loss 0.1267430099331721 epoch: 14801 Epoch 14801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14801With loss 0.1267430099331721 epoch: 14802 Epoch 14802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14802With loss 0.1267430099331721 epoch: 14803 Epoch 14803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14803With loss 0.1267430099331721 epoch: 14804 Epoch 14804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14804With loss 0.1267430099331721 epoch: 14805 Epoch 14805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14805With loss 0.1267430099331721 epoch: 14806 Epoch 14806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14806With loss 0.1267430099331721 epoch: 14807 Epoch 14807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14807With loss 0.1267430099331721 epoch: 14808 Epoch 14808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14808With loss 0.1267430099331721 epoch: 14809 Epoch 14809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14809With loss 0.1267430099331721 epoch: 14810 Epoch 14810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14810With loss 0.1267430099331721 epoch: 14811 Epoch 14811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14811With loss 0.1267430099331721 epoch: 14812 Epoch 14812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14812With loss 0.1267430099331721 epoch: 14813 Epoch 14813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14813With loss 0.1267430099331721 epoch: 14814 Epoch 14814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14814With loss 0.1267430099331721 epoch: 14815 Epoch 14815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14815With loss 0.1267430099331721 epoch: 14816 Epoch 14816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14816With loss 0.1267430099331721 epoch: 14817 Epoch 14817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14817With loss 0.1267430099331721 epoch: 14818 Epoch 14818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14818With loss 0.1267430099331721 epoch: 14819 Epoch 14819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14819With loss 0.1267430099331721 epoch: 14820 Epoch 14820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14820With loss 0.1267430099331721 epoch: 14821 Epoch 14821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14821With loss 0.1267430099331721 epoch: 14822 Epoch 14822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14822With loss 0.1267430099331721 epoch: 14823 Epoch 14823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14823With loss 0.1267430099331721 epoch: 14824 Epoch 14824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14824With loss 0.1267430099331721 epoch: 14825 Epoch 14825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14825With loss 0.1267430099331721 epoch: 14826 Epoch 14826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14826With loss 0.1267430099331721 epoch: 14827 Epoch 14827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14827With loss 0.1267430099331721 epoch: 14828 Epoch 14828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14828With loss 0.1267430099331721 epoch: 14829 Epoch 14829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14829With loss 0.1267430099331721 epoch: 14830 Epoch 14830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14830With loss 0.1267430099331721 epoch: 14831 Epoch 14831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14831With loss 0.1267430099331721 epoch: 14832 Epoch 14832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14832With loss 0.1267430099331721 epoch: 14833 Epoch 14833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14833With loss 0.1267430099331721 epoch: 14834 Epoch 14834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14834With loss 0.1267430099331721 epoch: 14835 Epoch 14835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14835With loss 0.1267430099331721 epoch: 14836 Epoch 14836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14836With loss 0.1267430099331721 epoch: 14837 Epoch 14837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14837With loss 0.1267430099331721 epoch: 14838 Epoch 14838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14838With loss 0.1267430099331721 epoch: 14839 Epoch 14839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14839With loss 0.1267430099331721 epoch: 14840 Epoch 14840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14840With loss 0.1267430099331721 epoch: 14841 Epoch 14841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14841With loss 0.1267430099331721 epoch: 14842 Epoch 14842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14842With loss 0.1267430099331721 epoch: 14843 Epoch 14843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14843With loss 0.1267430099331721 epoch: 14844 Epoch 14844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14844With loss 0.1267430099331721 epoch: 14845 Epoch 14845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14845With loss 0.1267430099331721 epoch: 14846 Epoch 14846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14846With loss 0.1267430099331721 epoch: 14847 Epoch 14847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14847With loss 0.1267430099331721 epoch: 14848 Epoch 14848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14848With loss 0.1267430099331721 epoch: 14849 Epoch 14849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14849With loss 0.1267430099331721 epoch: 14850 Epoch 14850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14850With loss 0.1267430099331721 epoch: 14851 Epoch 14851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14851With loss 0.1267430099331721 epoch: 14852 Epoch 14852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14852With loss 0.1267430099331721 epoch: 14853 Epoch 14853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14853With loss 0.1267430099331721 epoch: 14854 Epoch 14854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14854With loss 0.1267430099331721 epoch: 14855 Epoch 14855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14855With loss 0.1267430099331721 epoch: 14856 Epoch 14856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14856With loss 0.1267430099331721 epoch: 14857 Epoch 14857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14857With loss 0.1267430099331721 epoch: 14858 Epoch 14858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14858With loss 0.1267430099331721 epoch: 14859 Epoch 14859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14859With loss 0.1267430099331721 epoch: 14860 Epoch 14860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14860With loss 0.1267430099331721 epoch: 14861 Epoch 14861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14861With loss 0.1267430099331721 epoch: 14862 Epoch 14862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14862With loss 0.1267430099331721 epoch: 14863 Epoch 14863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14863With loss 0.1267430099331721 epoch: 14864 Epoch 14864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14864With loss 0.1267430099331721 epoch: 14865 Epoch 14865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14865With loss 0.1267430099331721 epoch: 14866 Epoch 14866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14866With loss 0.1267430099331721 epoch: 14867 Epoch 14867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14867With loss 0.1267430099331721 epoch: 14868 Epoch 14868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14868With loss 0.1267430099331721 epoch: 14869 Epoch 14869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14869With loss 0.1267430099331721 epoch: 14870 Epoch 14870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14870With loss 0.1267430099331721 epoch: 14871 Epoch 14871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14871With loss 0.1267430099331721 epoch: 14872 Epoch 14872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14872With loss 0.1267430099331721 epoch: 14873 Epoch 14873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14873With loss 0.1267430099331721 epoch: 14874 Epoch 14874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14874With loss 0.1267430099331721 epoch: 14875 Epoch 14875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14875With loss 0.1267430099331721 epoch: 14876 Epoch 14876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14876With loss 0.1267430099331721 epoch: 14877 Epoch 14877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14877With loss 0.1267430099331721 epoch: 14878 Epoch 14878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14878With loss 0.1267430099331721 epoch: 14879 Epoch 14879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14879With loss 0.1267430099331721 epoch: 14880 Epoch 14880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14880With loss 0.1267430099331721 epoch: 14881 Epoch 14881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14881With loss 0.1267430099331721 epoch: 14882 Epoch 14882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14882With loss 0.1267430099331721 epoch: 14883 Epoch 14883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14883With loss 0.1267430099331721 epoch: 14884 Epoch 14884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14884With loss 0.1267430099331721 epoch: 14885 Epoch 14885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14885With loss 0.1267430099331721 epoch: 14886 Epoch 14886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14886With loss 0.1267430099331721 epoch: 14887 Epoch 14887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14887With loss 0.1267430099331721 epoch: 14888 Epoch 14888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14888With loss 0.1267430099331721 epoch: 14889 Epoch 14889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14889With loss 0.1267430099331721 epoch: 14890 Epoch 14890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14890With loss 0.1267430099331721 epoch: 14891 Epoch 14891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14891With loss 0.1267430099331721 epoch: 14892 Epoch 14892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14892With loss 0.1267430099331721 epoch: 14893 Epoch 14893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14893With loss 0.1267430099331721 epoch: 14894 Epoch 14894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14894With loss 0.1267430099331721 epoch: 14895 Epoch 14895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14895With loss 0.1267430099331721 epoch: 14896 Epoch 14896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14896With loss 0.1267430099331721 epoch: 14897 Epoch 14897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14897With loss 0.1267430099331721 epoch: 14898 Epoch 14898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14898With loss 0.1267430099331721 epoch: 14899 Epoch 14899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14899With loss 0.1267430099331721 epoch: 14900 Epoch 14900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14900With loss 0.1267430099331721 epoch: 14901 Epoch 14901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14901With loss 0.1267430099331721 epoch: 14902 Epoch 14902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14902With loss 0.1267430099331721 epoch: 14903 Epoch 14903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14903With loss 0.1267430099331721 epoch: 14904 Epoch 14904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14904With loss 0.1267430099331721 epoch: 14905 Epoch 14905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14905With loss 0.1267430099331721 epoch: 14906 Epoch 14906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14906With loss 0.1267430099331721 epoch: 14907 Epoch 14907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14907With loss 0.1267430099331721 epoch: 14908 Epoch 14908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14908With loss 0.1267430099331721 epoch: 14909 Epoch 14909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14909With loss 0.1267430099331721 epoch: 14910 Epoch 14910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14910With loss 0.1267430099331721 epoch: 14911 Epoch 14911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14911With loss 0.1267430099331721 epoch: 14912 Epoch 14912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14912With loss 0.1267430099331721 epoch: 14913 Epoch 14913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14913With loss 0.1267430099331721 epoch: 14914 Epoch 14914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14914With loss 0.1267430099331721 epoch: 14915 Epoch 14915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14915With loss 0.1267430099331721 epoch: 14916 Epoch 14916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14916With loss 0.1267430099331721 epoch: 14917 Epoch 14917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14917With loss 0.1267430099331721 epoch: 14918 Epoch 14918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14918With loss 0.1267430099331721 epoch: 14919 Epoch 14919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14919With loss 0.1267430099331721 epoch: 14920 Epoch 14920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14920With loss 0.1267430099331721 epoch: 14921 Epoch 14921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14921With loss 0.1267430099331721 epoch: 14922 Epoch 14922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14922With loss 0.1267430099331721 epoch: 14923 Epoch 14923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14923With loss 0.1267430099331721 epoch: 14924 Epoch 14924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14924With loss 0.1267430099331721 epoch: 14925 Epoch 14925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14925With loss 0.1267430099331721 epoch: 14926 Epoch 14926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14926With loss 0.1267430099331721 epoch: 14927 Epoch 14927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14927With loss 0.1267430099331721 epoch: 14928 Epoch 14928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14928With loss 0.1267430099331721 epoch: 14929 Epoch 14929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14929With loss 0.1267430099331721 epoch: 14930 Epoch 14930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14930With loss 0.1267430099331721 epoch: 14931 Epoch 14931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14931With loss 0.1267430099331721 epoch: 14932 Epoch 14932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14932With loss 0.1267430099331721 epoch: 14933 Epoch 14933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14933With loss 0.1267430099331721 epoch: 14934 Epoch 14934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14934With loss 0.1267430099331721 epoch: 14935 Epoch 14935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14935With loss 0.1267430099331721 epoch: 14936 Epoch 14936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14936With loss 0.1267430099331721 epoch: 14937 Epoch 14937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14937With loss 0.1267430099331721 epoch: 14938 Epoch 14938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14938With loss 0.1267430099331721 epoch: 14939 Epoch 14939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14939With loss 0.1267430099331721 epoch: 14940 Epoch 14940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14940With loss 0.1267430099331721 epoch: 14941 Epoch 14941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14941With loss 0.1267430099331721 epoch: 14942 Epoch 14942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14942With loss 0.1267430099331721 epoch: 14943 Epoch 14943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14943With loss 0.1267430099331721 epoch: 14944 Epoch 14944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14944With loss 0.1267430099331721 epoch: 14945 Epoch 14945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14945With loss 0.1267430099331721 epoch: 14946 Epoch 14946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14946With loss 0.1267430099331721 epoch: 14947 Epoch 14947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14947With loss 0.1267430099331721 epoch: 14948 Epoch 14948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14948With loss 0.1267430099331721 epoch: 14949 Epoch 14949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14949With loss 0.1267430099331721 epoch: 14950 Epoch 14950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14950With loss 0.1267430099331721 epoch: 14951 Epoch 14951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14951With loss 0.1267430099331721 epoch: 14952 Epoch 14952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14952With loss 0.1267430099331721 epoch: 14953 Epoch 14953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14953With loss 0.1267430099331721 epoch: 14954 Epoch 14954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14954With loss 0.1267430099331721 epoch: 14955 Epoch 14955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14955With loss 0.1267430099331721 epoch: 14956 Epoch 14956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14956With loss 0.1267430099331721 epoch: 14957 Epoch 14957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14957With loss 0.1267430099331721 epoch: 14958 Epoch 14958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14958With loss 0.1267430099331721 epoch: 14959 Epoch 14959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14959With loss 0.1267430099331721 epoch: 14960 Epoch 14960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14960With loss 0.1267430099331721 epoch: 14961 Epoch 14961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14961With loss 0.1267430099331721 epoch: 14962 Epoch 14962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14962With loss 0.1267430099331721 epoch: 14963 Epoch 14963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14963With loss 0.1267430099331721 epoch: 14964 Epoch 14964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14964With loss 0.1267430099331721 epoch: 14965 Epoch 14965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14965With loss 0.1267430099331721 epoch: 14966 Epoch 14966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14966With loss 0.1267430099331721 epoch: 14967 Epoch 14967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14967With loss 0.1267430099331721 epoch: 14968 Epoch 14968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14968With loss 0.1267430099331721 epoch: 14969 Epoch 14969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14969With loss 0.1267430099331721 epoch: 14970 Epoch 14970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14970With loss 0.1267430099331721 epoch: 14971 Epoch 14971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14971With loss 0.1267430099331721 epoch: 14972 Epoch 14972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14972With loss 0.1267430099331721 epoch: 14973 Epoch 14973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14973With loss 0.1267430099331721 epoch: 14974 Epoch 14974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14974With loss 0.1267430099331721 epoch: 14975 Epoch 14975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14975With loss 0.1267430099331721 epoch: 14976 Epoch 14976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14976With loss 0.1267430099331721 epoch: 14977 Epoch 14977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14977With loss 0.1267430099331721 epoch: 14978 Epoch 14978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14978With loss 0.1267430099331721 epoch: 14979 Epoch 14979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14979With loss 0.1267430099331721 epoch: 14980 Epoch 14980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14980With loss 0.1267430099331721 epoch: 14981 Epoch 14981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14981With loss 0.1267430099331721 epoch: 14982 Epoch 14982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14982With loss 0.1267430099331721 epoch: 14983 Epoch 14983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14983With loss 0.1267430099331721 epoch: 14984 Epoch 14984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14984With loss 0.1267430099331721 epoch: 14985 Epoch 14985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14985With loss 0.1267430099331721 epoch: 14986 Epoch 14986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14986With loss 0.1267430099331721 epoch: 14987 Epoch 14987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14987With loss 0.1267430099331721 epoch: 14988 Epoch 14988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14988With loss 0.1267430099331721 epoch: 14989 Epoch 14989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14989With loss 0.1267430099331721 epoch: 14990 Epoch 14990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14990With loss 0.1267430099331721 epoch: 14991 Epoch 14991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14991With loss 0.1267430099331721 epoch: 14992 Epoch 14992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14992With loss 0.1267430099331721 epoch: 14993 Epoch 14993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14993With loss 0.1267430099331721 epoch: 14994 Epoch 14994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14994With loss 0.1267430099331721 epoch: 14995 Epoch 14995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14995With loss 0.1267430099331721 epoch: 14996 Epoch 14996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14996With loss 0.1267430099331721 epoch: 14997 Epoch 14997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14997With loss 0.1267430099331721 epoch: 14998 Epoch 14998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14998With loss 0.1267430099331721 epoch: 14999 Epoch 14999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 14999With loss 0.1267430099331721 epoch: 15000 Epoch 15000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15000With loss 0.1267430099331721 epoch: 15001 Epoch 15001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15001With loss 0.1267430099331721 epoch: 15002 Epoch 15002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15002With loss 0.1267430099331721 epoch: 15003 Epoch 15003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15003With loss 0.1267430099331721 epoch: 15004 Epoch 15004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15004With loss 0.1267430099331721 epoch: 15005 Epoch 15005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15005With loss 0.1267430099331721 epoch: 15006 Epoch 15006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15006With loss 0.1267430099331721 epoch: 15007 Epoch 15007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15007With loss 0.1267430099331721 epoch: 15008 Epoch 15008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15008With loss 0.1267430099331721 epoch: 15009 Epoch 15009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15009With loss 0.1267430099331721 epoch: 15010 Epoch 15010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15010With loss 0.1267430099331721 epoch: 15011 Epoch 15011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15011With loss 0.1267430099331721 epoch: 15012 Epoch 15012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15012With loss 0.1267430099331721 epoch: 15013 Epoch 15013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15013With loss 0.1267430099331721 epoch: 15014 Epoch 15014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15014With loss 0.1267430099331721 epoch: 15015 Epoch 15015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15015With loss 0.1267430099331721 epoch: 15016 Epoch 15016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15016With loss 0.1267430099331721 epoch: 15017 Epoch 15017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15017With loss 0.1267430099331721 epoch: 15018 Epoch 15018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15018With loss 0.1267430099331721 epoch: 15019 Epoch 15019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15019With loss 0.1267430099331721 epoch: 15020 Epoch 15020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15020With loss 0.1267430099331721 epoch: 15021 Epoch 15021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15021With loss 0.1267430099331721 epoch: 15022 Epoch 15022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15022With loss 0.1267430099331721 epoch: 15023 Epoch 15023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15023With loss 0.1267430099331721 epoch: 15024 Epoch 15024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15024With loss 0.1267430099331721 epoch: 15025 Epoch 15025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15025With loss 0.1267430099331721 epoch: 15026 Epoch 15026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15026With loss 0.1267430099331721 epoch: 15027 Epoch 15027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15027With loss 0.1267430099331721 epoch: 15028 Epoch 15028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15028With loss 0.1267430099331721 epoch: 15029 Epoch 15029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15029With loss 0.1267430099331721 epoch: 15030 Epoch 15030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15030With loss 0.1267430099331721 epoch: 15031 Epoch 15031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15031With loss 0.1267430099331721 epoch: 15032 Epoch 15032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15032With loss 0.1267430099331721 epoch: 15033 Epoch 15033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15033With loss 0.1267430099331721 epoch: 15034 Epoch 15034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15034With loss 0.1267430099331721 epoch: 15035 Epoch 15035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15035With loss 0.1267430099331721 epoch: 15036 Epoch 15036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15036With loss 0.1267430099331721 epoch: 15037 Epoch 15037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15037With loss 0.1267430099331721 epoch: 15038 Epoch 15038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15038With loss 0.1267430099331721 epoch: 15039 Epoch 15039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15039With loss 0.1267430099331721 epoch: 15040 Epoch 15040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15040With loss 0.1267430099331721 epoch: 15041 Epoch 15041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15041With loss 0.1267430099331721 epoch: 15042 Epoch 15042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15042With loss 0.1267430099331721 epoch: 15043 Epoch 15043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15043With loss 0.1267430099331721 epoch: 15044 Epoch 15044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15044With loss 0.1267430099331721 epoch: 15045 Epoch 15045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15045With loss 0.1267430099331721 epoch: 15046 Epoch 15046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15046With loss 0.1267430099331721 epoch: 15047 Epoch 15047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15047With loss 0.1267430099331721 epoch: 15048 Epoch 15048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15048With loss 0.1267430099331721 epoch: 15049 Epoch 15049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15049With loss 0.1267430099331721 epoch: 15050 Epoch 15050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15050With loss 0.1267430099331721 epoch: 15051 Epoch 15051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15051With loss 0.1267430099331721 epoch: 15052 Epoch 15052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15052With loss 0.1267430099331721 epoch: 15053 Epoch 15053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15053With loss 0.1267430099331721 epoch: 15054 Epoch 15054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15054With loss 0.1267430099331721 epoch: 15055 Epoch 15055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15055With loss 0.1267430099331721 epoch: 15056 Epoch 15056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15056With loss 0.1267430099331721 epoch: 15057 Epoch 15057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15057With loss 0.1267430099331721 epoch: 15058 Epoch 15058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15058With loss 0.1267430099331721 epoch: 15059 Epoch 15059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15059With loss 0.1267430099331721 epoch: 15060 Epoch 15060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15060With loss 0.1267430099331721 epoch: 15061 Epoch 15061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15061With loss 0.1267430099331721 epoch: 15062 Epoch 15062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15062With loss 0.1267430099331721 epoch: 15063 Epoch 15063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15063With loss 0.1267430099331721 epoch: 15064 Epoch 15064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15064With loss 0.1267430099331721 epoch: 15065 Epoch 15065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15065With loss 0.1267430099331721 epoch: 15066 Epoch 15066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15066With loss 0.1267430099331721 epoch: 15067 Epoch 15067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15067With loss 0.1267430099331721 epoch: 15068 Epoch 15068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15068With loss 0.1267430099331721 epoch: 15069 Epoch 15069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15069With loss 0.1267430099331721 epoch: 15070 Epoch 15070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15070With loss 0.1267430099331721 epoch: 15071 Epoch 15071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15071With loss 0.1267430099331721 epoch: 15072 Epoch 15072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15072With loss 0.1267430099331721 epoch: 15073 Epoch 15073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15073With loss 0.1267430099331721 epoch: 15074 Epoch 15074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15074With loss 0.1267430099331721 epoch: 15075 Epoch 15075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15075With loss 0.1267430099331721 epoch: 15076 Epoch 15076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15076With loss 0.1267430099331721 epoch: 15077 Epoch 15077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15077With loss 0.1267430099331721 epoch: 15078 Epoch 15078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15078With loss 0.1267430099331721 epoch: 15079 Epoch 15079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15079With loss 0.1267430099331721 epoch: 15080 Epoch 15080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15080With loss 0.1267430099331721 epoch: 15081 Epoch 15081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15081With loss 0.1267430099331721 epoch: 15082 Epoch 15082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15082With loss 0.1267430099331721 epoch: 15083 Epoch 15083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15083With loss 0.1267430099331721 epoch: 15084 Epoch 15084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15084With loss 0.1267430099331721 epoch: 15085 Epoch 15085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15085With loss 0.1267430099331721 epoch: 15086 Epoch 15086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15086With loss 0.1267430099331721 epoch: 15087 Epoch 15087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15087With loss 0.1267430099331721 epoch: 15088 Epoch 15088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15088With loss 0.1267430099331721 epoch: 15089 Epoch 15089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15089With loss 0.1267430099331721 epoch: 15090 Epoch 15090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15090With loss 0.1267430099331721 epoch: 15091 Epoch 15091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15091With loss 0.1267430099331721 epoch: 15092 Epoch 15092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15092With loss 0.1267430099331721 epoch: 15093 Epoch 15093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15093With loss 0.1267430099331721 epoch: 15094 Epoch 15094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15094With loss 0.1267430099331721 epoch: 15095 Epoch 15095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15095With loss 0.1267430099331721 epoch: 15096 Epoch 15096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15096With loss 0.1267430099331721 epoch: 15097 Epoch 15097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15097With loss 0.1267430099331721 epoch: 15098 Epoch 15098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15098With loss 0.1267430099331721 epoch: 15099 Epoch 15099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15099With loss 0.1267430099331721 epoch: 15100 Epoch 15100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15100With loss 0.1267430099331721 epoch: 15101 Epoch 15101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15101With loss 0.1267430099331721 epoch: 15102 Epoch 15102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15102With loss 0.1267430099331721 epoch: 15103 Epoch 15103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15103With loss 0.1267430099331721 epoch: 15104 Epoch 15104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15104With loss 0.1267430099331721 epoch: 15105 Epoch 15105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15105With loss 0.1267430099331721 epoch: 15106 Epoch 15106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15106With loss 0.1267430099331721 epoch: 15107 Epoch 15107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15107With loss 0.1267430099331721 epoch: 15108 Epoch 15108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15108With loss 0.1267430099331721 epoch: 15109 Epoch 15109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15109With loss 0.1267430099331721 epoch: 15110 Epoch 15110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15110With loss 0.1267430099331721 epoch: 15111 Epoch 15111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15111With loss 0.1267430099331721 epoch: 15112 Epoch 15112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15112With loss 0.1267430099331721 epoch: 15113 Epoch 15113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15113With loss 0.1267430099331721 epoch: 15114 Epoch 15114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15114With loss 0.1267430099331721 epoch: 15115 Epoch 15115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15115With loss 0.1267430099331721 epoch: 15116 Epoch 15116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15116With loss 0.1267430099331721 epoch: 15117 Epoch 15117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15117With loss 0.1267430099331721 epoch: 15118 Epoch 15118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15118With loss 0.1267430099331721 epoch: 15119 Epoch 15119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15119With loss 0.1267430099331721 epoch: 15120 Epoch 15120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15120With loss 0.1267430099331721 epoch: 15121 Epoch 15121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15121With loss 0.1267430099331721 epoch: 15122 Epoch 15122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15122With loss 0.1267430099331721 epoch: 15123 Epoch 15123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15123With loss 0.1267430099331721 epoch: 15124 Epoch 15124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15124With loss 0.1267430099331721 epoch: 15125 Epoch 15125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15125With loss 0.1267430099331721 epoch: 15126 Epoch 15126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15126With loss 0.1267430099331721 epoch: 15127 Epoch 15127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15127With loss 0.1267430099331721 epoch: 15128 Epoch 15128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15128With loss 0.1267430099331721 epoch: 15129 Epoch 15129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15129With loss 0.1267430099331721 epoch: 15130 Epoch 15130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15130With loss 0.1267430099331721 epoch: 15131 Epoch 15131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15131With loss 0.1267430099331721 epoch: 15132 Epoch 15132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15132With loss 0.1267430099331721 epoch: 15133 Epoch 15133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15133With loss 0.1267430099331721 epoch: 15134 Epoch 15134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15134With loss 0.1267430099331721 epoch: 15135 Epoch 15135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15135With loss 0.1267430099331721 epoch: 15136 Epoch 15136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15136With loss 0.1267430099331721 epoch: 15137 Epoch 15137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15137With loss 0.1267430099331721 epoch: 15138 Epoch 15138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15138With loss 0.1267430099331721 epoch: 15139 Epoch 15139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15139With loss 0.1267430099331721 epoch: 15140 Epoch 15140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15140With loss 0.1267430099331721 epoch: 15141 Epoch 15141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15141With loss 0.1267430099331721 epoch: 15142 Epoch 15142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15142With loss 0.1267430099331721 epoch: 15143 Epoch 15143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15143With loss 0.1267430099331721 epoch: 15144 Epoch 15144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15144With loss 0.1267430099331721 epoch: 15145 Epoch 15145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15145With loss 0.1267430099331721 epoch: 15146 Epoch 15146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15146With loss 0.1267430099331721 epoch: 15147 Epoch 15147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15147With loss 0.1267430099331721 epoch: 15148 Epoch 15148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15148With loss 0.1267430099331721 epoch: 15149 Epoch 15149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15149With loss 0.1267430099331721 epoch: 15150 Epoch 15150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15150With loss 0.1267430099331721 epoch: 15151 Epoch 15151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15151With loss 0.1267430099331721 epoch: 15152 Epoch 15152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15152With loss 0.1267430099331721 epoch: 15153 Epoch 15153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15153With loss 0.1267430099331721 epoch: 15154 Epoch 15154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15154With loss 0.1267430099331721 epoch: 15155 Epoch 15155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15155With loss 0.1267430099331721 epoch: 15156 Epoch 15156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15156With loss 0.1267430099331721 epoch: 15157 Epoch 15157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15157With loss 0.1267430099331721 epoch: 15158 Epoch 15158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15158With loss 0.1267430099331721 epoch: 15159 Epoch 15159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15159With loss 0.1267430099331721 epoch: 15160 Epoch 15160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15160With loss 0.1267430099331721 epoch: 15161 Epoch 15161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15161With loss 0.1267430099331721 epoch: 15162 Epoch 15162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15162With loss 0.1267430099331721 epoch: 15163 Epoch 15163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15163With loss 0.1267430099331721 epoch: 15164 Epoch 15164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15164With loss 0.1267430099331721 epoch: 15165 Epoch 15165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15165With loss 0.1267430099331721 epoch: 15166 Epoch 15166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15166With loss 0.1267430099331721 epoch: 15167 Epoch 15167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15167With loss 0.1267430099331721 epoch: 15168 Epoch 15168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15168With loss 0.1267430099331721 epoch: 15169 Epoch 15169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15169With loss 0.1267430099331721 epoch: 15170 Epoch 15170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15170With loss 0.1267430099331721 epoch: 15171 Epoch 15171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15171With loss 0.1267430099331721 epoch: 15172 Epoch 15172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15172With loss 0.1267430099331721 epoch: 15173 Epoch 15173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15173With loss 0.1267430099331721 epoch: 15174 Epoch 15174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15174With loss 0.1267430099331721 epoch: 15175 Epoch 15175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15175With loss 0.1267430099331721 epoch: 15176 Epoch 15176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15176With loss 0.1267430099331721 epoch: 15177 Epoch 15177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15177With loss 0.1267430099331721 epoch: 15178 Epoch 15178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15178With loss 0.1267430099331721 epoch: 15179 Epoch 15179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15179With loss 0.1267430099331721 epoch: 15180 Epoch 15180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15180With loss 0.1267430099331721 epoch: 15181 Epoch 15181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15181With loss 0.1267430099331721 epoch: 15182 Epoch 15182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15182With loss 0.1267430099331721 epoch: 15183 Epoch 15183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15183With loss 0.1267430099331721 epoch: 15184 Epoch 15184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15184With loss 0.1267430099331721 epoch: 15185 Epoch 15185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15185With loss 0.1267430099331721 epoch: 15186 Epoch 15186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15186With loss 0.1267430099331721 epoch: 15187 Epoch 15187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15187With loss 0.1267430099331721 epoch: 15188 Epoch 15188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15188With loss 0.1267430099331721 epoch: 15189 Epoch 15189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15189With loss 0.1267430099331721 epoch: 15190 Epoch 15190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15190With loss 0.1267430099331721 epoch: 15191 Epoch 15191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15191With loss 0.1267430099331721 epoch: 15192 Epoch 15192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15192With loss 0.1267430099331721 epoch: 15193 Epoch 15193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15193With loss 0.1267430099331721 epoch: 15194 Epoch 15194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15194With loss 0.1267430099331721 epoch: 15195 Epoch 15195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15195With loss 0.1267430099331721 epoch: 15196 Epoch 15196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15196With loss 0.1267430099331721 epoch: 15197 Epoch 15197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15197With loss 0.1267430099331721 epoch: 15198 Epoch 15198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15198With loss 0.1267430099331721 epoch: 15199 Epoch 15199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15199With loss 0.1267430099331721 epoch: 15200 Epoch 15200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15200With loss 0.1267430099331721 epoch: 15201 Epoch 15201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15201With loss 0.1267430099331721 epoch: 15202 Epoch 15202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15202With loss 0.1267430099331721 epoch: 15203 Epoch 15203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15203With loss 0.1267430099331721 epoch: 15204 Epoch 15204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15204With loss 0.1267430099331721 epoch: 15205 Epoch 15205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15205With loss 0.1267430099331721 epoch: 15206 Epoch 15206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15206With loss 0.1267430099331721 epoch: 15207 Epoch 15207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15207With loss 0.1267430099331721 epoch: 15208 Epoch 15208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15208With loss 0.1267430099331721 epoch: 15209 Epoch 15209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15209With loss 0.1267430099331721 epoch: 15210 Epoch 15210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15210With loss 0.1267430099331721 epoch: 15211 Epoch 15211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15211With loss 0.1267430099331721 epoch: 15212 Epoch 15212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15212With loss 0.1267430099331721 epoch: 15213 Epoch 15213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15213With loss 0.1267430099331721 epoch: 15214 Epoch 15214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15214With loss 0.1267430099331721 epoch: 15215 Epoch 15215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15215With loss 0.1267430099331721 epoch: 15216 Epoch 15216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15216With loss 0.1267430099331721 epoch: 15217 Epoch 15217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15217With loss 0.1267430099331721 epoch: 15218 Epoch 15218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15218With loss 0.1267430099331721 epoch: 15219 Epoch 15219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15219With loss 0.1267430099331721 epoch: 15220 Epoch 15220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15220With loss 0.1267430099331721 epoch: 15221 Epoch 15221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15221With loss 0.1267430099331721 epoch: 15222 Epoch 15222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15222With loss 0.1267430099331721 epoch: 15223 Epoch 15223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15223With loss 0.1267430099331721 epoch: 15224 Epoch 15224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15224With loss 0.1267430099331721 epoch: 15225 Epoch 15225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15225With loss 0.1267430099331721 epoch: 15226 Epoch 15226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15226With loss 0.1267430099331721 epoch: 15227 Epoch 15227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15227With loss 0.1267430099331721 epoch: 15228 Epoch 15228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15228With loss 0.1267430099331721 epoch: 15229 Epoch 15229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15229With loss 0.1267430099331721 epoch: 15230 Epoch 15230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15230With loss 0.1267430099331721 epoch: 15231 Epoch 15231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15231With loss 0.1267430099331721 epoch: 15232 Epoch 15232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15232With loss 0.1267430099331721 epoch: 15233 Epoch 15233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15233With loss 0.1267430099331721 epoch: 15234 Epoch 15234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15234With loss 0.1267430099331721 epoch: 15235 Epoch 15235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15235With loss 0.1267430099331721 epoch: 15236 Epoch 15236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15236With loss 0.1267430099331721 epoch: 15237 Epoch 15237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15237With loss 0.1267430099331721 epoch: 15238 Epoch 15238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15238With loss 0.1267430099331721 epoch: 15239 Epoch 15239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15239With loss 0.1267430099331721 epoch: 15240 Epoch 15240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15240With loss 0.1267430099331721 epoch: 15241 Epoch 15241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15241With loss 0.1267430099331721 epoch: 15242 Epoch 15242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15242With loss 0.1267430099331721 epoch: 15243 Epoch 15243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15243With loss 0.1267430099331721 epoch: 15244 Epoch 15244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15244With loss 0.1267430099331721 epoch: 15245 Epoch 15245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15245With loss 0.1267430099331721 epoch: 15246 Epoch 15246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15246With loss 0.1267430099331721 epoch: 15247 Epoch 15247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15247With loss 0.1267430099331721 epoch: 15248 Epoch 15248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15248With loss 0.1267430099331721 epoch: 15249 Epoch 15249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15249With loss 0.1267430099331721 epoch: 15250 Epoch 15250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15250With loss 0.1267430099331721 epoch: 15251 Epoch 15251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15251With loss 0.1267430099331721 epoch: 15252 Epoch 15252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15252With loss 0.1267430099331721 epoch: 15253 Epoch 15253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15253With loss 0.1267430099331721 epoch: 15254 Epoch 15254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15254With loss 0.1267430099331721 epoch: 15255 Epoch 15255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15255With loss 0.1267430099331721 epoch: 15256 Epoch 15256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15256With loss 0.1267430099331721 epoch: 15257 Epoch 15257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15257With loss 0.1267430099331721 epoch: 15258 Epoch 15258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15258With loss 0.1267430099331721 epoch: 15259 Epoch 15259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15259With loss 0.1267430099331721 epoch: 15260 Epoch 15260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15260With loss 0.1267430099331721 epoch: 15261 Epoch 15261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15261With loss 0.1267430099331721 epoch: 15262 Epoch 15262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15262With loss 0.1267430099331721 epoch: 15263 Epoch 15263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15263With loss 0.1267430099331721 epoch: 15264 Epoch 15264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15264With loss 0.1267430099331721 epoch: 15265 Epoch 15265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15265With loss 0.1267430099331721 epoch: 15266 Epoch 15266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15266With loss 0.1267430099331721 epoch: 15267 Epoch 15267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15267With loss 0.1267430099331721 epoch: 15268 Epoch 15268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15268With loss 0.1267430099331721 epoch: 15269 Epoch 15269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15269With loss 0.1267430099331721 epoch: 15270 Epoch 15270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15270With loss 0.1267430099331721 epoch: 15271 Epoch 15271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15271With loss 0.1267430099331721 epoch: 15272 Epoch 15272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15272With loss 0.1267430099331721 epoch: 15273 Epoch 15273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15273With loss 0.1267430099331721 epoch: 15274 Epoch 15274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15274With loss 0.1267430099331721 epoch: 15275 Epoch 15275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15275With loss 0.1267430099331721 epoch: 15276 Epoch 15276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15276With loss 0.1267430099331721 epoch: 15277 Epoch 15277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15277With loss 0.1267430099331721 epoch: 15278 Epoch 15278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15278With loss 0.1267430099331721 epoch: 15279 Epoch 15279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15279With loss 0.1267430099331721 epoch: 15280 Epoch 15280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15280With loss 0.1267430099331721 epoch: 15281 Epoch 15281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15281With loss 0.1267430099331721 epoch: 15282 Epoch 15282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15282With loss 0.1267430099331721 epoch: 15283 Epoch 15283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15283With loss 0.1267430099331721 epoch: 15284 Epoch 15284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15284With loss 0.1267430099331721 epoch: 15285 Epoch 15285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15285With loss 0.1267430099331721 epoch: 15286 Epoch 15286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15286With loss 0.1267430099331721 epoch: 15287 Epoch 15287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15287With loss 0.1267430099331721 epoch: 15288 Epoch 15288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15288With loss 0.1267430099331721 epoch: 15289 Epoch 15289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15289With loss 0.1267430099331721 epoch: 15290 Epoch 15290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15290With loss 0.1267430099331721 epoch: 15291 Epoch 15291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15291With loss 0.1267430099331721 epoch: 15292 Epoch 15292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15292With loss 0.1267430099331721 epoch: 15293 Epoch 15293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15293With loss 0.1267430099331721 epoch: 15294 Epoch 15294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15294With loss 0.1267430099331721 epoch: 15295 Epoch 15295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15295With loss 0.1267430099331721 epoch: 15296 Epoch 15296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15296With loss 0.1267430099331721 epoch: 15297 Epoch 15297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15297With loss 0.1267430099331721 epoch: 15298 Epoch 15298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15298With loss 0.1267430099331721 epoch: 15299 Epoch 15299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15299With loss 0.1267430099331721 epoch: 15300 Epoch 15300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15300With loss 0.1267430099331721 epoch: 15301 Epoch 15301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15301With loss 0.1267430099331721 epoch: 15302 Epoch 15302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15302With loss 0.1267430099331721 epoch: 15303 Epoch 15303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15303With loss 0.1267430099331721 epoch: 15304 Epoch 15304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15304With loss 0.1267430099331721 epoch: 15305 Epoch 15305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15305With loss 0.1267430099331721 epoch: 15306 Epoch 15306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15306With loss 0.1267430099331721 epoch: 15307 Epoch 15307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15307With loss 0.1267430099331721 epoch: 15308 Epoch 15308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15308With loss 0.1267430099331721 epoch: 15309 Epoch 15309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15309With loss 0.1267430099331721 epoch: 15310 Epoch 15310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15310With loss 0.1267430099331721 epoch: 15311 Epoch 15311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15311With loss 0.1267430099331721 epoch: 15312 Epoch 15312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15312With loss 0.1267430099331721 epoch: 15313 Epoch 15313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15313With loss 0.1267430099331721 epoch: 15314 Epoch 15314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15314With loss 0.1267430099331721 epoch: 15315 Epoch 15315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15315With loss 0.1267430099331721 epoch: 15316 Epoch 15316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15316With loss 0.1267430099331721 epoch: 15317 Epoch 15317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15317With loss 0.1267430099331721 epoch: 15318 Epoch 15318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15318With loss 0.1267430099331721 epoch: 15319 Epoch 15319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15319With loss 0.1267430099331721 epoch: 15320 Epoch 15320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15320With loss 0.1267430099331721 epoch: 15321 Epoch 15321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15321With loss 0.1267430099331721 epoch: 15322 Epoch 15322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15322With loss 0.1267430099331721 epoch: 15323 Epoch 15323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15323With loss 0.1267430099331721 epoch: 15324 Epoch 15324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15324With loss 0.1267430099331721 epoch: 15325 Epoch 15325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15325With loss 0.1267430099331721 epoch: 15326 Epoch 15326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15326With loss 0.1267430099331721 epoch: 15327 Epoch 15327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15327With loss 0.1267430099331721 epoch: 15328 Epoch 15328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15328With loss 0.1267430099331721 epoch: 15329 Epoch 15329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15329With loss 0.1267430099331721 epoch: 15330 Epoch 15330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15330With loss 0.1267430099331721 epoch: 15331 Epoch 15331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15331With loss 0.1267430099331721 epoch: 15332 Epoch 15332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15332With loss 0.1267430099331721 epoch: 15333 Epoch 15333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15333With loss 0.1267430099331721 epoch: 15334 Epoch 15334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15334With loss 0.1267430099331721 epoch: 15335 Epoch 15335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15335With loss 0.1267430099331721 epoch: 15336 Epoch 15336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15336With loss 0.1267430099331721 epoch: 15337 Epoch 15337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15337With loss 0.1267430099331721 epoch: 15338 Epoch 15338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15338With loss 0.1267430099331721 epoch: 15339 Epoch 15339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15339With loss 0.1267430099331721 epoch: 15340 Epoch 15340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15340With loss 0.1267430099331721 epoch: 15341 Epoch 15341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15341With loss 0.1267430099331721 epoch: 15342 Epoch 15342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15342With loss 0.1267430099331721 epoch: 15343 Epoch 15343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15343With loss 0.1267430099331721 epoch: 15344 Epoch 15344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15344With loss 0.1267430099331721 epoch: 15345 Epoch 15345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15345With loss 0.1267430099331721 epoch: 15346 Epoch 15346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15346With loss 0.1267430099331721 epoch: 15347 Epoch 15347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15347With loss 0.1267430099331721 epoch: 15348 Epoch 15348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15348With loss 0.1267430099331721 epoch: 15349 Epoch 15349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15349With loss 0.1267430099331721 epoch: 15350 Epoch 15350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15350With loss 0.1267430099331721 epoch: 15351 Epoch 15351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15351With loss 0.1267430099331721 epoch: 15352 Epoch 15352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15352With loss 0.1267430099331721 epoch: 15353 Epoch 15353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15353With loss 0.1267430099331721 epoch: 15354 Epoch 15354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15354With loss 0.1267430099331721 epoch: 15355 Epoch 15355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15355With loss 0.1267430099331721 epoch: 15356 Epoch 15356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15356With loss 0.1267430099331721 epoch: 15357 Epoch 15357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15357With loss 0.1267430099331721 epoch: 15358 Epoch 15358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15358With loss 0.1267430099331721 epoch: 15359 Epoch 15359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15359With loss 0.1267430099331721 epoch: 15360 Epoch 15360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15360With loss 0.1267430099331721 epoch: 15361 Epoch 15361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15361With loss 0.1267430099331721 epoch: 15362 Epoch 15362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15362With loss 0.1267430099331721 epoch: 15363 Epoch 15363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15363With loss 0.1267430099331721 epoch: 15364 Epoch 15364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15364With loss 0.1267430099331721 epoch: 15365 Epoch 15365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15365With loss 0.1267430099331721 epoch: 15366 Epoch 15366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15366With loss 0.1267430099331721 epoch: 15367 Epoch 15367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15367With loss 0.1267430099331721 epoch: 15368 Epoch 15368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15368With loss 0.1267430099331721 epoch: 15369 Epoch 15369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15369With loss 0.1267430099331721 epoch: 15370 Epoch 15370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15370With loss 0.1267430099331721 epoch: 15371 Epoch 15371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15371With loss 0.1267430099331721 epoch: 15372 Epoch 15372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15372With loss 0.1267430099331721 epoch: 15373 Epoch 15373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15373With loss 0.1267430099331721 epoch: 15374 Epoch 15374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15374With loss 0.1267430099331721 epoch: 15375 Epoch 15375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15375With loss 0.1267430099331721 epoch: 15376 Epoch 15376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15376With loss 0.1267430099331721 epoch: 15377 Epoch 15377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15377With loss 0.1267430099331721 epoch: 15378 Epoch 15378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15378With loss 0.1267430099331721 epoch: 15379 Epoch 15379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15379With loss 0.1267430099331721 epoch: 15380 Epoch 15380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15380With loss 0.1267430099331721 epoch: 15381 Epoch 15381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15381With loss 0.1267430099331721 epoch: 15382 Epoch 15382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15382With loss 0.1267430099331721 epoch: 15383 Epoch 15383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15383With loss 0.1267430099331721 epoch: 15384 Epoch 15384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15384With loss 0.1267430099331721 epoch: 15385 Epoch 15385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15385With loss 0.1267430099331721 epoch: 15386 Epoch 15386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15386With loss 0.1267430099331721 epoch: 15387 Epoch 15387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15387With loss 0.1267430099331721 epoch: 15388 Epoch 15388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15388With loss 0.1267430099331721 epoch: 15389 Epoch 15389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15389With loss 0.1267430099331721 epoch: 15390 Epoch 15390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15390With loss 0.1267430099331721 epoch: 15391 Epoch 15391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15391With loss 0.1267430099331721 epoch: 15392 Epoch 15392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15392With loss 0.1267430099331721 epoch: 15393 Epoch 15393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15393With loss 0.1267430099331721 epoch: 15394 Epoch 15394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15394With loss 0.1267430099331721 epoch: 15395 Epoch 15395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15395With loss 0.1267430099331721 epoch: 15396 Epoch 15396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15396With loss 0.1267430099331721 epoch: 15397 Epoch 15397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15397With loss 0.1267430099331721 epoch: 15398 Epoch 15398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15398With loss 0.1267430099331721 epoch: 15399 Epoch 15399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15399With loss 0.1267430099331721 epoch: 15400 Epoch 15400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15400With loss 0.1267430099331721 epoch: 15401 Epoch 15401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15401With loss 0.1267430099331721 epoch: 15402 Epoch 15402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15402With loss 0.1267430099331721 epoch: 15403 Epoch 15403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15403With loss 0.1267430099331721 epoch: 15404 Epoch 15404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15404With loss 0.1267430099331721 epoch: 15405 Epoch 15405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15405With loss 0.1267430099331721 epoch: 15406 Epoch 15406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15406With loss 0.1267430099331721 epoch: 15407 Epoch 15407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15407With loss 0.1267430099331721 epoch: 15408 Epoch 15408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15408With loss 0.1267430099331721 epoch: 15409 Epoch 15409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15409With loss 0.1267430099331721 epoch: 15410 Epoch 15410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15410With loss 0.1267430099331721 epoch: 15411 Epoch 15411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15411With loss 0.1267430099331721 epoch: 15412 Epoch 15412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15412With loss 0.1267430099331721 epoch: 15413 Epoch 15413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15413With loss 0.1267430099331721 epoch: 15414 Epoch 15414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15414With loss 0.1267430099331721 epoch: 15415 Epoch 15415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15415With loss 0.1267430099331721 epoch: 15416 Epoch 15416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15416With loss 0.1267430099331721 epoch: 15417 Epoch 15417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15417With loss 0.1267430099331721 epoch: 15418 Epoch 15418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15418With loss 0.1267430099331721 epoch: 15419 Epoch 15419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15419With loss 0.1267430099331721 epoch: 15420 Epoch 15420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15420With loss 0.1267430099331721 epoch: 15421 Epoch 15421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15421With loss 0.1267430099331721 epoch: 15422 Epoch 15422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15422With loss 0.1267430099331721 epoch: 15423 Epoch 15423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15423With loss 0.1267430099331721 epoch: 15424 Epoch 15424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15424With loss 0.1267430099331721 epoch: 15425 Epoch 15425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15425With loss 0.1267430099331721 epoch: 15426 Epoch 15426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15426With loss 0.1267430099331721 epoch: 15427 Epoch 15427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15427With loss 0.1267430099331721 epoch: 15428 Epoch 15428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15428With loss 0.1267430099331721 epoch: 15429 Epoch 15429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15429With loss 0.1267430099331721 epoch: 15430 Epoch 15430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15430With loss 0.1267430099331721 epoch: 15431 Epoch 15431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15431With loss 0.1267430099331721 epoch: 15432 Epoch 15432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15432With loss 0.1267430099331721 epoch: 15433 Epoch 15433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15433With loss 0.1267430099331721 epoch: 15434 Epoch 15434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15434With loss 0.1267430099331721 epoch: 15435 Epoch 15435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15435With loss 0.1267430099331721 epoch: 15436 Epoch 15436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15436With loss 0.1267430099331721 epoch: 15437 Epoch 15437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15437With loss 0.1267430099331721 epoch: 15438 Epoch 15438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15438With loss 0.1267430099331721 epoch: 15439 Epoch 15439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15439With loss 0.1267430099331721 epoch: 15440 Epoch 15440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15440With loss 0.1267430099331721 epoch: 15441 Epoch 15441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15441With loss 0.1267430099331721 epoch: 15442 Epoch 15442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15442With loss 0.1267430099331721 epoch: 15443 Epoch 15443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15443With loss 0.1267430099331721 epoch: 15444 Epoch 15444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15444With loss 0.1267430099331721 epoch: 15445 Epoch 15445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15445With loss 0.1267430099331721 epoch: 15446 Epoch 15446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15446With loss 0.1267430099331721 epoch: 15447 Epoch 15447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15447With loss 0.1267430099331721 epoch: 15448 Epoch 15448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15448With loss 0.1267430099331721 epoch: 15449 Epoch 15449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15449With loss 0.1267430099331721 epoch: 15450 Epoch 15450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15450With loss 0.1267430099331721 epoch: 15451 Epoch 15451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15451With loss 0.1267430099331721 epoch: 15452 Epoch 15452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15452With loss 0.1267430099331721 epoch: 15453 Epoch 15453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15453With loss 0.1267430099331721 epoch: 15454 Epoch 15454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15454With loss 0.1267430099331721 epoch: 15455 Epoch 15455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15455With loss 0.1267430099331721 epoch: 15456 Epoch 15456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15456With loss 0.1267430099331721 epoch: 15457 Epoch 15457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15457With loss 0.1267430099331721 epoch: 15458 Epoch 15458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15458With loss 0.1267430099331721 epoch: 15459 Epoch 15459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15459With loss 0.1267430099331721 epoch: 15460 Epoch 15460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15460With loss 0.1267430099331721 epoch: 15461 Epoch 15461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15461With loss 0.1267430099331721 epoch: 15462 Epoch 15462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15462With loss 0.1267430099331721 epoch: 15463 Epoch 15463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15463With loss 0.1267430099331721 epoch: 15464 Epoch 15464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15464With loss 0.1267430099331721 epoch: 15465 Epoch 15465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15465With loss 0.1267430099331721 epoch: 15466 Epoch 15466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15466With loss 0.1267430099331721 epoch: 15467 Epoch 15467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15467With loss 0.1267430099331721 epoch: 15468 Epoch 15468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15468With loss 0.1267430099331721 epoch: 15469 Epoch 15469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15469With loss 0.1267430099331721 epoch: 15470 Epoch 15470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15470With loss 0.1267430099331721 epoch: 15471 Epoch 15471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15471With loss 0.1267430099331721 epoch: 15472 Epoch 15472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15472With loss 0.1267430099331721 epoch: 15473 Epoch 15473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15473With loss 0.1267430099331721 epoch: 15474 Epoch 15474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15474With loss 0.1267430099331721 epoch: 15475 Epoch 15475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15475With loss 0.1267430099331721 epoch: 15476 Epoch 15476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15476With loss 0.1267430099331721 epoch: 15477 Epoch 15477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15477With loss 0.1267430099331721 epoch: 15478 Epoch 15478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15478With loss 0.1267430099331721 epoch: 15479 Epoch 15479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15479With loss 0.1267430099331721 epoch: 15480 Epoch 15480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15480With loss 0.1267430099331721 epoch: 15481 Epoch 15481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15481With loss 0.1267430099331721 epoch: 15482 Epoch 15482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15482With loss 0.1267430099331721 epoch: 15483 Epoch 15483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15483With loss 0.1267430099331721 epoch: 15484 Epoch 15484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15484With loss 0.1267430099331721 epoch: 15485 Epoch 15485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15485With loss 0.1267430099331721 epoch: 15486 Epoch 15486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15486With loss 0.1267430099331721 epoch: 15487 Epoch 15487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15487With loss 0.1267430099331721 epoch: 15488 Epoch 15488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15488With loss 0.1267430099331721 epoch: 15489 Epoch 15489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15489With loss 0.1267430099331721 epoch: 15490 Epoch 15490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15490With loss 0.1267430099331721 epoch: 15491 Epoch 15491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15491With loss 0.1267430099331721 epoch: 15492 Epoch 15492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15492With loss 0.1267430099331721 epoch: 15493 Epoch 15493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15493With loss 0.1267430099331721 epoch: 15494 Epoch 15494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15494With loss 0.1267430099331721 epoch: 15495 Epoch 15495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15495With loss 0.1267430099331721 epoch: 15496 Epoch 15496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15496With loss 0.1267430099331721 epoch: 15497 Epoch 15497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15497With loss 0.1267430099331721 epoch: 15498 Epoch 15498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15498With loss 0.1267430099331721 epoch: 15499 Epoch 15499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15499With loss 0.1267430099331721 epoch: 15500 Epoch 15500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15500With loss 0.1267430099331721 epoch: 15501 Epoch 15501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15501With loss 0.1267430099331721 epoch: 15502 Epoch 15502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15502With loss 0.1267430099331721 epoch: 15503 Epoch 15503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15503With loss 0.1267430099331721 epoch: 15504 Epoch 15504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15504With loss 0.1267430099331721 epoch: 15505 Epoch 15505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15505With loss 0.1267430099331721 epoch: 15506 Epoch 15506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15506With loss 0.1267430099331721 epoch: 15507 Epoch 15507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15507With loss 0.1267430099331721 epoch: 15508 Epoch 15508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15508With loss 0.1267430099331721 epoch: 15509 Epoch 15509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15509With loss 0.1267430099331721 epoch: 15510 Epoch 15510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15510With loss 0.1267430099331721 epoch: 15511 Epoch 15511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15511With loss 0.1267430099331721 epoch: 15512 Epoch 15512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15512With loss 0.1267430099331721 epoch: 15513 Epoch 15513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15513With loss 0.1267430099331721 epoch: 15514 Epoch 15514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15514With loss 0.1267430099331721 epoch: 15515 Epoch 15515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15515With loss 0.1267430099331721 epoch: 15516 Epoch 15516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15516With loss 0.1267430099331721 epoch: 15517 Epoch 15517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15517With loss 0.1267430099331721 epoch: 15518 Epoch 15518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15518With loss 0.1267430099331721 epoch: 15519 Epoch 15519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15519With loss 0.1267430099331721 epoch: 15520 Epoch 15520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15520With loss 0.1267430099331721 epoch: 15521 Epoch 15521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15521With loss 0.1267430099331721 epoch: 15522 Epoch 15522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15522With loss 0.1267430099331721 epoch: 15523 Epoch 15523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15523With loss 0.1267430099331721 epoch: 15524 Epoch 15524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15524With loss 0.1267430099331721 epoch: 15525 Epoch 15525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15525With loss 0.1267430099331721 epoch: 15526 Epoch 15526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15526With loss 0.1267430099331721 epoch: 15527 Epoch 15527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15527With loss 0.1267430099331721 epoch: 15528 Epoch 15528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15528With loss 0.1267430099331721 epoch: 15529 Epoch 15529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15529With loss 0.1267430099331721 epoch: 15530 Epoch 15530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15530With loss 0.1267430099331721 epoch: 15531 Epoch 15531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15531With loss 0.1267430099331721 epoch: 15532 Epoch 15532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15532With loss 0.1267430099331721 epoch: 15533 Epoch 15533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15533With loss 0.1267430099331721 epoch: 15534 Epoch 15534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15534With loss 0.1267430099331721 epoch: 15535 Epoch 15535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15535With loss 0.1267430099331721 epoch: 15536 Epoch 15536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15536With loss 0.1267430099331721 epoch: 15537 Epoch 15537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15537With loss 0.1267430099331721 epoch: 15538 Epoch 15538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15538With loss 0.1267430099331721 epoch: 15539 Epoch 15539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15539With loss 0.1267430099331721 epoch: 15540 Epoch 15540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15540With loss 0.1267430099331721 epoch: 15541 Epoch 15541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15541With loss 0.1267430099331721 epoch: 15542 Epoch 15542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15542With loss 0.1267430099331721 epoch: 15543 Epoch 15543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15543With loss 0.1267430099331721 epoch: 15544 Epoch 15544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15544With loss 0.1267430099331721 epoch: 15545 Epoch 15545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15545With loss 0.1267430099331721 epoch: 15546 Epoch 15546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15546With loss 0.1267430099331721 epoch: 15547 Epoch 15547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15547With loss 0.1267430099331721 epoch: 15548 Epoch 15548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15548With loss 0.1267430099331721 epoch: 15549 Epoch 15549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15549With loss 0.1267430099331721 epoch: 15550 Epoch 15550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15550With loss 0.1267430099331721 epoch: 15551 Epoch 15551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15551With loss 0.1267430099331721 epoch: 15552 Epoch 15552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15552With loss 0.1267430099331721 epoch: 15553 Epoch 15553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15553With loss 0.1267430099331721 epoch: 15554 Epoch 15554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15554With loss 0.1267430099331721 epoch: 15555 Epoch 15555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15555With loss 0.1267430099331721 epoch: 15556 Epoch 15556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15556With loss 0.1267430099331721 epoch: 15557 Epoch 15557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15557With loss 0.1267430099331721 epoch: 15558 Epoch 15558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15558With loss 0.1267430099331721 epoch: 15559 Epoch 15559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15559With loss 0.1267430099331721 epoch: 15560 Epoch 15560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15560With loss 0.1267430099331721 epoch: 15561 Epoch 15561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15561With loss 0.1267430099331721 epoch: 15562 Epoch 15562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15562With loss 0.1267430099331721 epoch: 15563 Epoch 15563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15563With loss 0.1267430099331721 epoch: 15564 Epoch 15564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15564With loss 0.1267430099331721 epoch: 15565 Epoch 15565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15565With loss 0.1267430099331721 epoch: 15566 Epoch 15566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15566With loss 0.1267430099331721 epoch: 15567 Epoch 15567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15567With loss 0.1267430099331721 epoch: 15568 Epoch 15568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15568With loss 0.1267430099331721 epoch: 15569 Epoch 15569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15569With loss 0.1267430099331721 epoch: 15570 Epoch 15570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15570With loss 0.1267430099331721 epoch: 15571 Epoch 15571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15571With loss 0.1267430099331721 epoch: 15572 Epoch 15572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15572With loss 0.1267430099331721 epoch: 15573 Epoch 15573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15573With loss 0.1267430099331721 epoch: 15574 Epoch 15574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15574With loss 0.1267430099331721 epoch: 15575 Epoch 15575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15575With loss 0.1267430099331721 epoch: 15576 Epoch 15576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15576With loss 0.1267430099331721 epoch: 15577 Epoch 15577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15577With loss 0.1267430099331721 epoch: 15578 Epoch 15578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15578With loss 0.1267430099331721 epoch: 15579 Epoch 15579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15579With loss 0.1267430099331721 epoch: 15580 Epoch 15580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15580With loss 0.1267430099331721 epoch: 15581 Epoch 15581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15581With loss 0.1267430099331721 epoch: 15582 Epoch 15582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15582With loss 0.1267430099331721 epoch: 15583 Epoch 15583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15583With loss 0.1267430099331721 epoch: 15584 Epoch 15584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15584With loss 0.1267430099331721 epoch: 15585 Epoch 15585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15585With loss 0.1267430099331721 epoch: 15586 Epoch 15586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15586With loss 0.1267430099331721 epoch: 15587 Epoch 15587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15587With loss 0.1267430099331721 epoch: 15588 Epoch 15588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15588With loss 0.1267430099331721 epoch: 15589 Epoch 15589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15589With loss 0.1267430099331721 epoch: 15590 Epoch 15590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15590With loss 0.1267430099331721 epoch: 15591 Epoch 15591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15591With loss 0.1267430099331721 epoch: 15592 Epoch 15592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15592With loss 0.1267430099331721 epoch: 15593 Epoch 15593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15593With loss 0.1267430099331721 epoch: 15594 Epoch 15594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15594With loss 0.1267430099331721 epoch: 15595 Epoch 15595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15595With loss 0.1267430099331721 epoch: 15596 Epoch 15596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15596With loss 0.1267430099331721 epoch: 15597 Epoch 15597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15597With loss 0.1267430099331721 epoch: 15598 Epoch 15598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15598With loss 0.1267430099331721 epoch: 15599 Epoch 15599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15599With loss 0.1267430099331721 epoch: 15600 Epoch 15600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15600With loss 0.1267430099331721 epoch: 15601 Epoch 15601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15601With loss 0.1267430099331721 epoch: 15602 Epoch 15602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15602With loss 0.1267430099331721 epoch: 15603 Epoch 15603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15603With loss 0.1267430099331721 epoch: 15604 Epoch 15604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15604With loss 0.1267430099331721 epoch: 15605 Epoch 15605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15605With loss 0.1267430099331721 epoch: 15606 Epoch 15606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15606With loss 0.1267430099331721 epoch: 15607 Epoch 15607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15607With loss 0.1267430099331721 epoch: 15608 Epoch 15608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15608With loss 0.1267430099331721 epoch: 15609 Epoch 15609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15609With loss 0.1267430099331721 epoch: 15610 Epoch 15610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15610With loss 0.1267430099331721 epoch: 15611 Epoch 15611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15611With loss 0.1267430099331721 epoch: 15612 Epoch 15612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15612With loss 0.1267430099331721 epoch: 15613 Epoch 15613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15613With loss 0.1267430099331721 epoch: 15614 Epoch 15614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15614With loss 0.1267430099331721 epoch: 15615 Epoch 15615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15615With loss 0.1267430099331721 epoch: 15616 Epoch 15616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15616With loss 0.1267430099331721 epoch: 15617 Epoch 15617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15617With loss 0.1267430099331721 epoch: 15618 Epoch 15618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15618With loss 0.1267430099331721 epoch: 15619 Epoch 15619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15619With loss 0.1267430099331721 epoch: 15620 Epoch 15620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15620With loss 0.1267430099331721 epoch: 15621 Epoch 15621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15621With loss 0.1267430099331721 epoch: 15622 Epoch 15622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15622With loss 0.1267430099331721 epoch: 15623 Epoch 15623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15623With loss 0.1267430099331721 epoch: 15624 Epoch 15624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15624With loss 0.1267430099331721 epoch: 15625 Epoch 15625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15625With loss 0.1267430099331721 epoch: 15626 Epoch 15626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15626With loss 0.1267430099331721 epoch: 15627 Epoch 15627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15627With loss 0.1267430099331721 epoch: 15628 Epoch 15628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15628With loss 0.1267430099331721 epoch: 15629 Epoch 15629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15629With loss 0.1267430099331721 epoch: 15630 Epoch 15630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15630With loss 0.1267430099331721 epoch: 15631 Epoch 15631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15631With loss 0.1267430099331721 epoch: 15632 Epoch 15632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15632With loss 0.1267430099331721 epoch: 15633 Epoch 15633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15633With loss 0.1267430099331721 epoch: 15634 Epoch 15634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15634With loss 0.1267430099331721 epoch: 15635 Epoch 15635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15635With loss 0.1267430099331721 epoch: 15636 Epoch 15636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15636With loss 0.1267430099331721 epoch: 15637 Epoch 15637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15637With loss 0.1267430099331721 epoch: 15638 Epoch 15638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15638With loss 0.1267430099331721 epoch: 15639 Epoch 15639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15639With loss 0.1267430099331721 epoch: 15640 Epoch 15640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15640With loss 0.1267430099331721 epoch: 15641 Epoch 15641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15641With loss 0.1267430099331721 epoch: 15642 Epoch 15642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15642With loss 0.1267430099331721 epoch: 15643 Epoch 15643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15643With loss 0.1267430099331721 epoch: 15644 Epoch 15644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15644With loss 0.1267430099331721 epoch: 15645 Epoch 15645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15645With loss 0.1267430099331721 epoch: 15646 Epoch 15646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15646With loss 0.1267430099331721 epoch: 15647 Epoch 15647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15647With loss 0.1267430099331721 epoch: 15648 Epoch 15648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15648With loss 0.1267430099331721 epoch: 15649 Epoch 15649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15649With loss 0.1267430099331721 epoch: 15650 Epoch 15650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15650With loss 0.1267430099331721 epoch: 15651 Epoch 15651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15651With loss 0.1267430099331721 epoch: 15652 Epoch 15652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15652With loss 0.1267430099331721 epoch: 15653 Epoch 15653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15653With loss 0.1267430099331721 epoch: 15654 Epoch 15654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15654With loss 0.1267430099331721 epoch: 15655 Epoch 15655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15655With loss 0.1267430099331721 epoch: 15656 Epoch 15656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15656With loss 0.1267430099331721 epoch: 15657 Epoch 15657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15657With loss 0.1267430099331721 epoch: 15658 Epoch 15658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15658With loss 0.1267430099331721 epoch: 15659 Epoch 15659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15659With loss 0.1267430099331721 epoch: 15660 Epoch 15660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15660With loss 0.1267430099331721 epoch: 15661 Epoch 15661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15661With loss 0.1267430099331721 epoch: 15662 Epoch 15662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15662With loss 0.1267430099331721 epoch: 15663 Epoch 15663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15663With loss 0.1267430099331721 epoch: 15664 Epoch 15664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15664With loss 0.1267430099331721 epoch: 15665 Epoch 15665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15665With loss 0.1267430099331721 epoch: 15666 Epoch 15666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15666With loss 0.1267430099331721 epoch: 15667 Epoch 15667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15667With loss 0.1267430099331721 epoch: 15668 Epoch 15668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15668With loss 0.1267430099331721 epoch: 15669 Epoch 15669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15669With loss 0.1267430099331721 epoch: 15670 Epoch 15670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15670With loss 0.1267430099331721 epoch: 15671 Epoch 15671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15671With loss 0.1267430099331721 epoch: 15672 Epoch 15672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15672With loss 0.1267430099331721 epoch: 15673 Epoch 15673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15673With loss 0.1267430099331721 epoch: 15674 Epoch 15674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15674With loss 0.1267430099331721 epoch: 15675 Epoch 15675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15675With loss 0.1267430099331721 epoch: 15676 Epoch 15676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15676With loss 0.1267430099331721 epoch: 15677 Epoch 15677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15677With loss 0.1267430099331721 epoch: 15678 Epoch 15678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15678With loss 0.1267430099331721 epoch: 15679 Epoch 15679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15679With loss 0.1267430099331721 epoch: 15680 Epoch 15680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15680With loss 0.1267430099331721 epoch: 15681 Epoch 15681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15681With loss 0.1267430099331721 epoch: 15682 Epoch 15682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15682With loss 0.1267430099331721 epoch: 15683 Epoch 15683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15683With loss 0.1267430099331721 epoch: 15684 Epoch 15684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15684With loss 0.1267430099331721 epoch: 15685 Epoch 15685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15685With loss 0.1267430099331721 epoch: 15686 Epoch 15686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15686With loss 0.1267430099331721 epoch: 15687 Epoch 15687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15687With loss 0.1267430099331721 epoch: 15688 Epoch 15688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15688With loss 0.1267430099331721 epoch: 15689 Epoch 15689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15689With loss 0.1267430099331721 epoch: 15690 Epoch 15690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15690With loss 0.1267430099331721 epoch: 15691 Epoch 15691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15691With loss 0.1267430099331721 epoch: 15692 Epoch 15692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15692With loss 0.1267430099331721 epoch: 15693 Epoch 15693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15693With loss 0.1267430099331721 epoch: 15694 Epoch 15694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15694With loss 0.1267430099331721 epoch: 15695 Epoch 15695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15695With loss 0.1267430099331721 epoch: 15696 Epoch 15696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15696With loss 0.1267430099331721 epoch: 15697 Epoch 15697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15697With loss 0.1267430099331721 epoch: 15698 Epoch 15698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15698With loss 0.1267430099331721 epoch: 15699 Epoch 15699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15699With loss 0.1267430099331721 epoch: 15700 Epoch 15700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15700With loss 0.1267430099331721 epoch: 15701 Epoch 15701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15701With loss 0.1267430099331721 epoch: 15702 Epoch 15702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15702With loss 0.1267430099331721 epoch: 15703 Epoch 15703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15703With loss 0.1267430099331721 epoch: 15704 Epoch 15704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15704With loss 0.1267430099331721 epoch: 15705 Epoch 15705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15705With loss 0.1267430099331721 epoch: 15706 Epoch 15706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15706With loss 0.1267430099331721 epoch: 15707 Epoch 15707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15707With loss 0.1267430099331721 epoch: 15708 Epoch 15708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15708With loss 0.1267430099331721 epoch: 15709 Epoch 15709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15709With loss 0.1267430099331721 epoch: 15710 Epoch 15710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15710With loss 0.1267430099331721 epoch: 15711 Epoch 15711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15711With loss 0.1267430099331721 epoch: 15712 Epoch 15712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15712With loss 0.1267430099331721 epoch: 15713 Epoch 15713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15713With loss 0.1267430099331721 epoch: 15714 Epoch 15714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15714With loss 0.1267430099331721 epoch: 15715 Epoch 15715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15715With loss 0.1267430099331721 epoch: 15716 Epoch 15716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15716With loss 0.1267430099331721 epoch: 15717 Epoch 15717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15717With loss 0.1267430099331721 epoch: 15718 Epoch 15718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15718With loss 0.1267430099331721 epoch: 15719 Epoch 15719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15719With loss 0.1267430099331721 epoch: 15720 Epoch 15720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15720With loss 0.1267430099331721 epoch: 15721 Epoch 15721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15721With loss 0.1267430099331721 epoch: 15722 Epoch 15722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15722With loss 0.1267430099331721 epoch: 15723 Epoch 15723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15723With loss 0.1267430099331721 epoch: 15724 Epoch 15724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15724With loss 0.1267430099331721 epoch: 15725 Epoch 15725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15725With loss 0.1267430099331721 epoch: 15726 Epoch 15726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15726With loss 0.1267430099331721 epoch: 15727 Epoch 15727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15727With loss 0.1267430099331721 epoch: 15728 Epoch 15728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15728With loss 0.1267430099331721 epoch: 15729 Epoch 15729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15729With loss 0.1267430099331721 epoch: 15730 Epoch 15730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15730With loss 0.1267430099331721 epoch: 15731 Epoch 15731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15731With loss 0.1267430099331721 epoch: 15732 Epoch 15732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15732With loss 0.1267430099331721 epoch: 15733 Epoch 15733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15733With loss 0.1267430099331721 epoch: 15734 Epoch 15734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15734With loss 0.1267430099331721 epoch: 15735 Epoch 15735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15735With loss 0.1267430099331721 epoch: 15736 Epoch 15736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15736With loss 0.1267430099331721 epoch: 15737 Epoch 15737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15737With loss 0.1267430099331721 epoch: 15738 Epoch 15738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15738With loss 0.1267430099331721 epoch: 15739 Epoch 15739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15739With loss 0.1267430099331721 epoch: 15740 Epoch 15740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15740With loss 0.1267430099331721 epoch: 15741 Epoch 15741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15741With loss 0.1267430099331721 epoch: 15742 Epoch 15742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15742With loss 0.1267430099331721 epoch: 15743 Epoch 15743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15743With loss 0.1267430099331721 epoch: 15744 Epoch 15744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15744With loss 0.1267430099331721 epoch: 15745 Epoch 15745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15745With loss 0.1267430099331721 epoch: 15746 Epoch 15746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15746With loss 0.1267430099331721 epoch: 15747 Epoch 15747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15747With loss 0.1267430099331721 epoch: 15748 Epoch 15748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15748With loss 0.1267430099331721 epoch: 15749 Epoch 15749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15749With loss 0.1267430099331721 epoch: 15750 Epoch 15750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15750With loss 0.1267430099331721 epoch: 15751 Epoch 15751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15751With loss 0.1267430099331721 epoch: 15752 Epoch 15752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15752With loss 0.1267430099331721 epoch: 15753 Epoch 15753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15753With loss 0.1267430099331721 epoch: 15754 Epoch 15754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15754With loss 0.1267430099331721 epoch: 15755 Epoch 15755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15755With loss 0.1267430099331721 epoch: 15756 Epoch 15756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15756With loss 0.1267430099331721 epoch: 15757 Epoch 15757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15757With loss 0.1267430099331721 epoch: 15758 Epoch 15758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15758With loss 0.1267430099331721 epoch: 15759 Epoch 15759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15759With loss 0.1267430099331721 epoch: 15760 Epoch 15760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15760With loss 0.1267430099331721 epoch: 15761 Epoch 15761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15761With loss 0.1267430099331721 epoch: 15762 Epoch 15762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15762With loss 0.1267430099331721 epoch: 15763 Epoch 15763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15763With loss 0.1267430099331721 epoch: 15764 Epoch 15764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15764With loss 0.1267430099331721 epoch: 15765 Epoch 15765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15765With loss 0.1267430099331721 epoch: 15766 Epoch 15766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15766With loss 0.1267430099331721 epoch: 15767 Epoch 15767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15767With loss 0.1267430099331721 epoch: 15768 Epoch 15768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15768With loss 0.1267430099331721 epoch: 15769 Epoch 15769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15769With loss 0.1267430099331721 epoch: 15770 Epoch 15770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15770With loss 0.1267430099331721 epoch: 15771 Epoch 15771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15771With loss 0.1267430099331721 epoch: 15772 Epoch 15772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15772With loss 0.1267430099331721 epoch: 15773 Epoch 15773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15773With loss 0.1267430099331721 epoch: 15774 Epoch 15774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15774With loss 0.1267430099331721 epoch: 15775 Epoch 15775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15775With loss 0.1267430099331721 epoch: 15776 Epoch 15776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15776With loss 0.1267430099331721 epoch: 15777 Epoch 15777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15777With loss 0.1267430099331721 epoch: 15778 Epoch 15778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15778With loss 0.1267430099331721 epoch: 15779 Epoch 15779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15779With loss 0.1267430099331721 epoch: 15780 Epoch 15780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15780With loss 0.1267430099331721 epoch: 15781 Epoch 15781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15781With loss 0.1267430099331721 epoch: 15782 Epoch 15782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15782With loss 0.1267430099331721 epoch: 15783 Epoch 15783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15783With loss 0.1267430099331721 epoch: 15784 Epoch 15784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15784With loss 0.1267430099331721 epoch: 15785 Epoch 15785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15785With loss 0.1267430099331721 epoch: 15786 Epoch 15786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15786With loss 0.1267430099331721 epoch: 15787 Epoch 15787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15787With loss 0.1267430099331721 epoch: 15788 Epoch 15788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15788With loss 0.1267430099331721 epoch: 15789 Epoch 15789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15789With loss 0.1267430099331721 epoch: 15790 Epoch 15790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15790With loss 0.1267430099331721 epoch: 15791 Epoch 15791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15791With loss 0.1267430099331721 epoch: 15792 Epoch 15792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15792With loss 0.1267430099331721 epoch: 15793 Epoch 15793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15793With loss 0.1267430099331721 epoch: 15794 Epoch 15794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15794With loss 0.1267430099331721 epoch: 15795 Epoch 15795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15795With loss 0.1267430099331721 epoch: 15796 Epoch 15796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15796With loss 0.1267430099331721 epoch: 15797 Epoch 15797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15797With loss 0.1267430099331721 epoch: 15798 Epoch 15798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15798With loss 0.1267430099331721 epoch: 15799 Epoch 15799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15799With loss 0.1267430099331721 epoch: 15800 Epoch 15800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15800With loss 0.1267430099331721 epoch: 15801 Epoch 15801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15801With loss 0.1267430099331721 epoch: 15802 Epoch 15802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15802With loss 0.1267430099331721 epoch: 15803 Epoch 15803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15803With loss 0.1267430099331721 epoch: 15804 Epoch 15804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15804With loss 0.1267430099331721 epoch: 15805 Epoch 15805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15805With loss 0.1267430099331721 epoch: 15806 Epoch 15806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15806With loss 0.1267430099331721 epoch: 15807 Epoch 15807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15807With loss 0.1267430099331721 epoch: 15808 Epoch 15808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15808With loss 0.1267430099331721 epoch: 15809 Epoch 15809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15809With loss 0.1267430099331721 epoch: 15810 Epoch 15810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15810With loss 0.1267430099331721 epoch: 15811 Epoch 15811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15811With loss 0.1267430099331721 epoch: 15812 Epoch 15812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15812With loss 0.1267430099331721 epoch: 15813 Epoch 15813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15813With loss 0.1267430099331721 epoch: 15814 Epoch 15814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15814With loss 0.1267430099331721 epoch: 15815 Epoch 15815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15815With loss 0.1267430099331721 epoch: 15816 Epoch 15816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15816With loss 0.1267430099331721 epoch: 15817 Epoch 15817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15817With loss 0.1267430099331721 epoch: 15818 Epoch 15818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15818With loss 0.1267430099331721 epoch: 15819 Epoch 15819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15819With loss 0.1267430099331721 epoch: 15820 Epoch 15820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15820With loss 0.1267430099331721 epoch: 15821 Epoch 15821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15821With loss 0.1267430099331721 epoch: 15822 Epoch 15822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15822With loss 0.1267430099331721 epoch: 15823 Epoch 15823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15823With loss 0.1267430099331721 epoch: 15824 Epoch 15824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15824With loss 0.1267430099331721 epoch: 15825 Epoch 15825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15825With loss 0.1267430099331721 epoch: 15826 Epoch 15826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15826With loss 0.1267430099331721 epoch: 15827 Epoch 15827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15827With loss 0.1267430099331721 epoch: 15828 Epoch 15828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15828With loss 0.1267430099331721 epoch: 15829 Epoch 15829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15829With loss 0.1267430099331721 epoch: 15830 Epoch 15830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15830With loss 0.1267430099331721 epoch: 15831 Epoch 15831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15831With loss 0.1267430099331721 epoch: 15832 Epoch 15832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15832With loss 0.1267430099331721 epoch: 15833 Epoch 15833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15833With loss 0.1267430099331721 epoch: 15834 Epoch 15834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15834With loss 0.1267430099331721 epoch: 15835 Epoch 15835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15835With loss 0.1267430099331721 epoch: 15836 Epoch 15836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15836With loss 0.1267430099331721 epoch: 15837 Epoch 15837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15837With loss 0.1267430099331721 epoch: 15838 Epoch 15838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15838With loss 0.1267430099331721 epoch: 15839 Epoch 15839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15839With loss 0.1267430099331721 epoch: 15840 Epoch 15840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15840With loss 0.1267430099331721 epoch: 15841 Epoch 15841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15841With loss 0.1267430099331721 epoch: 15842 Epoch 15842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15842With loss 0.1267430099331721 epoch: 15843 Epoch 15843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15843With loss 0.1267430099331721 epoch: 15844 Epoch 15844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15844With loss 0.1267430099331721 epoch: 15845 Epoch 15845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15845With loss 0.1267430099331721 epoch: 15846 Epoch 15846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15846With loss 0.1267430099331721 epoch: 15847 Epoch 15847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15847With loss 0.1267430099331721 epoch: 15848 Epoch 15848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15848With loss 0.1267430099331721 epoch: 15849 Epoch 15849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15849With loss 0.1267430099331721 epoch: 15850 Epoch 15850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15850With loss 0.1267430099331721 epoch: 15851 Epoch 15851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15851With loss 0.1267430099331721 epoch: 15852 Epoch 15852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15852With loss 0.1267430099331721 epoch: 15853 Epoch 15853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15853With loss 0.1267430099331721 epoch: 15854 Epoch 15854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15854With loss 0.1267430099331721 epoch: 15855 Epoch 15855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15855With loss 0.1267430099331721 epoch: 15856 Epoch 15856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15856With loss 0.1267430099331721 epoch: 15857 Epoch 15857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15857With loss 0.1267430099331721 epoch: 15858 Epoch 15858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15858With loss 0.1267430099331721 epoch: 15859 Epoch 15859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15859With loss 0.1267430099331721 epoch: 15860 Epoch 15860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15860With loss 0.1267430099331721 epoch: 15861 Epoch 15861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15861With loss 0.1267430099331721 epoch: 15862 Epoch 15862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15862With loss 0.1267430099331721 epoch: 15863 Epoch 15863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15863With loss 0.1267430099331721 epoch: 15864 Epoch 15864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15864With loss 0.1267430099331721 epoch: 15865 Epoch 15865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15865With loss 0.1267430099331721 epoch: 15866 Epoch 15866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15866With loss 0.1267430099331721 epoch: 15867 Epoch 15867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15867With loss 0.1267430099331721 epoch: 15868 Epoch 15868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15868With loss 0.1267430099331721 epoch: 15869 Epoch 15869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15869With loss 0.1267430099331721 epoch: 15870 Epoch 15870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15870With loss 0.1267430099331721 epoch: 15871 Epoch 15871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15871With loss 0.1267430099331721 epoch: 15872 Epoch 15872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15872With loss 0.1267430099331721 epoch: 15873 Epoch 15873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15873With loss 0.1267430099331721 epoch: 15874 Epoch 15874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15874With loss 0.1267430099331721 epoch: 15875 Epoch 15875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15875With loss 0.1267430099331721 epoch: 15876 Epoch 15876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15876With loss 0.1267430099331721 epoch: 15877 Epoch 15877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15877With loss 0.1267430099331721 epoch: 15878 Epoch 15878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15878With loss 0.1267430099331721 epoch: 15879 Epoch 15879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15879With loss 0.1267430099331721 epoch: 15880 Epoch 15880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15880With loss 0.1267430099331721 epoch: 15881 Epoch 15881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15881With loss 0.1267430099331721 epoch: 15882 Epoch 15882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15882With loss 0.1267430099331721 epoch: 15883 Epoch 15883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15883With loss 0.1267430099331721 epoch: 15884 Epoch 15884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15884With loss 0.1267430099331721 epoch: 15885 Epoch 15885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15885With loss 0.1267430099331721 epoch: 15886 Epoch 15886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15886With loss 0.1267430099331721 epoch: 15887 Epoch 15887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15887With loss 0.1267430099331721 epoch: 15888 Epoch 15888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15888With loss 0.1267430099331721 epoch: 15889 Epoch 15889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15889With loss 0.1267430099331721 epoch: 15890 Epoch 15890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15890With loss 0.1267430099331721 epoch: 15891 Epoch 15891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15891With loss 0.1267430099331721 epoch: 15892 Epoch 15892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15892With loss 0.1267430099331721 epoch: 15893 Epoch 15893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15893With loss 0.1267430099331721 epoch: 15894 Epoch 15894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15894With loss 0.1267430099331721 epoch: 15895 Epoch 15895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15895With loss 0.1267430099331721 epoch: 15896 Epoch 15896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15896With loss 0.1267430099331721 epoch: 15897 Epoch 15897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15897With loss 0.1267430099331721 epoch: 15898 Epoch 15898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15898With loss 0.1267430099331721 epoch: 15899 Epoch 15899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15899With loss 0.1267430099331721 epoch: 15900 Epoch 15900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15900With loss 0.1267430099331721 epoch: 15901 Epoch 15901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15901With loss 0.1267430099331721 epoch: 15902 Epoch 15902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15902With loss 0.1267430099331721 epoch: 15903 Epoch 15903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15903With loss 0.1267430099331721 epoch: 15904 Epoch 15904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15904With loss 0.1267430099331721 epoch: 15905 Epoch 15905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15905With loss 0.1267430099331721 epoch: 15906 Epoch 15906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15906With loss 0.1267430099331721 epoch: 15907 Epoch 15907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15907With loss 0.1267430099331721 epoch: 15908 Epoch 15908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15908With loss 0.1267430099331721 epoch: 15909 Epoch 15909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15909With loss 0.1267430099331721 epoch: 15910 Epoch 15910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15910With loss 0.1267430099331721 epoch: 15911 Epoch 15911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15911With loss 0.1267430099331721 epoch: 15912 Epoch 15912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15912With loss 0.1267430099331721 epoch: 15913 Epoch 15913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15913With loss 0.1267430099331721 epoch: 15914 Epoch 15914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15914With loss 0.1267430099331721 epoch: 15915 Epoch 15915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15915With loss 0.1267430099331721 epoch: 15916 Epoch 15916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15916With loss 0.1267430099331721 epoch: 15917 Epoch 15917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15917With loss 0.1267430099331721 epoch: 15918 Epoch 15918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15918With loss 0.1267430099331721 epoch: 15919 Epoch 15919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15919With loss 0.1267430099331721 epoch: 15920 Epoch 15920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15920With loss 0.1267430099331721 epoch: 15921 Epoch 15921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15921With loss 0.1267430099331721 epoch: 15922 Epoch 15922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15922With loss 0.1267430099331721 epoch: 15923 Epoch 15923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15923With loss 0.1267430099331721 epoch: 15924 Epoch 15924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15924With loss 0.1267430099331721 epoch: 15925 Epoch 15925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15925With loss 0.1267430099331721 epoch: 15926 Epoch 15926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15926With loss 0.1267430099331721 epoch: 15927 Epoch 15927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15927With loss 0.1267430099331721 epoch: 15928 Epoch 15928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15928With loss 0.1267430099331721 epoch: 15929 Epoch 15929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15929With loss 0.1267430099331721 epoch: 15930 Epoch 15930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15930With loss 0.1267430099331721 epoch: 15931 Epoch 15931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15931With loss 0.1267430099331721 epoch: 15932 Epoch 15932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15932With loss 0.1267430099331721 epoch: 15933 Epoch 15933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15933With loss 0.1267430099331721 epoch: 15934 Epoch 15934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15934With loss 0.1267430099331721 epoch: 15935 Epoch 15935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15935With loss 0.1267430099331721 epoch: 15936 Epoch 15936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15936With loss 0.1267430099331721 epoch: 15937 Epoch 15937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15937With loss 0.1267430099331721 epoch: 15938 Epoch 15938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15938With loss 0.1267430099331721 epoch: 15939 Epoch 15939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15939With loss 0.1267430099331721 epoch: 15940 Epoch 15940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15940With loss 0.1267430099331721 epoch: 15941 Epoch 15941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15941With loss 0.1267430099331721 epoch: 15942 Epoch 15942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15942With loss 0.1267430099331721 epoch: 15943 Epoch 15943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15943With loss 0.1267430099331721 epoch: 15944 Epoch 15944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15944With loss 0.1267430099331721 epoch: 15945 Epoch 15945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15945With loss 0.1267430099331721 epoch: 15946 Epoch 15946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15946With loss 0.1267430099331721 epoch: 15947 Epoch 15947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15947With loss 0.1267430099331721 epoch: 15948 Epoch 15948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15948With loss 0.1267430099331721 epoch: 15949 Epoch 15949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15949With loss 0.1267430099331721 epoch: 15950 Epoch 15950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15950With loss 0.1267430099331721 epoch: 15951 Epoch 15951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15951With loss 0.1267430099331721 epoch: 15952 Epoch 15952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15952With loss 0.1267430099331721 epoch: 15953 Epoch 15953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15953With loss 0.1267430099331721 epoch: 15954 Epoch 15954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15954With loss 0.1267430099331721 epoch: 15955 Epoch 15955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15955With loss 0.1267430099331721 epoch: 15956 Epoch 15956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15956With loss 0.1267430099331721 epoch: 15957 Epoch 15957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15957With loss 0.1267430099331721 epoch: 15958 Epoch 15958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15958With loss 0.1267430099331721 epoch: 15959 Epoch 15959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15959With loss 0.1267430099331721 epoch: 15960 Epoch 15960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15960With loss 0.1267430099331721 epoch: 15961 Epoch 15961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15961With loss 0.1267430099331721 epoch: 15962 Epoch 15962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15962With loss 0.1267430099331721 epoch: 15963 Epoch 15963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15963With loss 0.1267430099331721 epoch: 15964 Epoch 15964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15964With loss 0.1267430099331721 epoch: 15965 Epoch 15965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15965With loss 0.1267430099331721 epoch: 15966 Epoch 15966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15966With loss 0.1267430099331721 epoch: 15967 Epoch 15967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15967With loss 0.1267430099331721 epoch: 15968 Epoch 15968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15968With loss 0.1267430099331721 epoch: 15969 Epoch 15969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15969With loss 0.1267430099331721 epoch: 15970 Epoch 15970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15970With loss 0.1267430099331721 epoch: 15971 Epoch 15971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15971With loss 0.1267430099331721 epoch: 15972 Epoch 15972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15972With loss 0.1267430099331721 epoch: 15973 Epoch 15973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15973With loss 0.1267430099331721 epoch: 15974 Epoch 15974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15974With loss 0.1267430099331721 epoch: 15975 Epoch 15975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15975With loss 0.1267430099331721 epoch: 15976 Epoch 15976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15976With loss 0.1267430099331721 epoch: 15977 Epoch 15977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15977With loss 0.1267430099331721 epoch: 15978 Epoch 15978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15978With loss 0.1267430099331721 epoch: 15979 Epoch 15979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15979With loss 0.1267430099331721 epoch: 15980 Epoch 15980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15980With loss 0.1267430099331721 epoch: 15981 Epoch 15981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15981With loss 0.1267430099331721 epoch: 15982 Epoch 15982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15982With loss 0.1267430099331721 epoch: 15983 Epoch 15983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15983With loss 0.1267430099331721 epoch: 15984 Epoch 15984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15984With loss 0.1267430099331721 epoch: 15985 Epoch 15985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15985With loss 0.1267430099331721 epoch: 15986 Epoch 15986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15986With loss 0.1267430099331721 epoch: 15987 Epoch 15987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15987With loss 0.1267430099331721 epoch: 15988 Epoch 15988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15988With loss 0.1267430099331721 epoch: 15989 Epoch 15989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15989With loss 0.1267430099331721 epoch: 15990 Epoch 15990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15990With loss 0.1267430099331721 epoch: 15991 Epoch 15991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15991With loss 0.1267430099331721 epoch: 15992 Epoch 15992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15992With loss 0.1267430099331721 epoch: 15993 Epoch 15993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15993With loss 0.1267430099331721 epoch: 15994 Epoch 15994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15994With loss 0.1267430099331721 epoch: 15995 Epoch 15995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15995With loss 0.1267430099331721 epoch: 15996 Epoch 15996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15996With loss 0.1267430099331721 epoch: 15997 Epoch 15997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15997With loss 0.1267430099331721 epoch: 15998 Epoch 15998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15998With loss 0.1267430099331721 epoch: 15999 Epoch 15999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 15999With loss 0.1267430099331721 epoch: 16000 Epoch 16000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16000With loss 0.1267430099331721 epoch: 16001 Epoch 16001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16001With loss 0.1267430099331721 epoch: 16002 Epoch 16002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16002With loss 0.1267430099331721 epoch: 16003 Epoch 16003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16003With loss 0.1267430099331721 epoch: 16004 Epoch 16004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16004With loss 0.1267430099331721 epoch: 16005 Epoch 16005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16005With loss 0.1267430099331721 epoch: 16006 Epoch 16006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16006With loss 0.1267430099331721 epoch: 16007 Epoch 16007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16007With loss 0.1267430099331721 epoch: 16008 Epoch 16008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16008With loss 0.1267430099331721 epoch: 16009 Epoch 16009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16009With loss 0.1267430099331721 epoch: 16010 Epoch 16010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16010With loss 0.1267430099331721 epoch: 16011 Epoch 16011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16011With loss 0.1267430099331721 epoch: 16012 Epoch 16012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16012With loss 0.1267430099331721 epoch: 16013 Epoch 16013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16013With loss 0.1267430099331721 epoch: 16014 Epoch 16014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16014With loss 0.1267430099331721 epoch: 16015 Epoch 16015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16015With loss 0.1267430099331721 epoch: 16016 Epoch 16016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16016With loss 0.1267430099331721 epoch: 16017 Epoch 16017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16017With loss 0.1267430099331721 epoch: 16018 Epoch 16018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16018With loss 0.1267430099331721 epoch: 16019 Epoch 16019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16019With loss 0.1267430099331721 epoch: 16020 Epoch 16020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16020With loss 0.1267430099331721 epoch: 16021 Epoch 16021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16021With loss 0.1267430099331721 epoch: 16022 Epoch 16022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16022With loss 0.1267430099331721 epoch: 16023 Epoch 16023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16023With loss 0.1267430099331721 epoch: 16024 Epoch 16024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16024With loss 0.1267430099331721 epoch: 16025 Epoch 16025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16025With loss 0.1267430099331721 epoch: 16026 Epoch 16026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16026With loss 0.1267430099331721 epoch: 16027 Epoch 16027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16027With loss 0.1267430099331721 epoch: 16028 Epoch 16028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16028With loss 0.1267430099331721 epoch: 16029 Epoch 16029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16029With loss 0.1267430099331721 epoch: 16030 Epoch 16030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16030With loss 0.1267430099331721 epoch: 16031 Epoch 16031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16031With loss 0.1267430099331721 epoch: 16032 Epoch 16032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16032With loss 0.1267430099331721 epoch: 16033 Epoch 16033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16033With loss 0.1267430099331721 epoch: 16034 Epoch 16034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16034With loss 0.1267430099331721 epoch: 16035 Epoch 16035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16035With loss 0.1267430099331721 epoch: 16036 Epoch 16036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16036With loss 0.1267430099331721 epoch: 16037 Epoch 16037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16037With loss 0.1267430099331721 epoch: 16038 Epoch 16038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16038With loss 0.1267430099331721 epoch: 16039 Epoch 16039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16039With loss 0.1267430099331721 epoch: 16040 Epoch 16040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16040With loss 0.1267430099331721 epoch: 16041 Epoch 16041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16041With loss 0.1267430099331721 epoch: 16042 Epoch 16042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16042With loss 0.1267430099331721 epoch: 16043 Epoch 16043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16043With loss 0.1267430099331721 epoch: 16044 Epoch 16044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16044With loss 0.1267430099331721 epoch: 16045 Epoch 16045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16045With loss 0.1267430099331721 epoch: 16046 Epoch 16046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16046With loss 0.1267430099331721 epoch: 16047 Epoch 16047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16047With loss 0.1267430099331721 epoch: 16048 Epoch 16048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16048With loss 0.1267430099331721 epoch: 16049 Epoch 16049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16049With loss 0.1267430099331721 epoch: 16050 Epoch 16050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16050With loss 0.1267430099331721 epoch: 16051 Epoch 16051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16051With loss 0.1267430099331721 epoch: 16052 Epoch 16052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16052With loss 0.1267430099331721 epoch: 16053 Epoch 16053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16053With loss 0.1267430099331721 epoch: 16054 Epoch 16054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16054With loss 0.1267430099331721 epoch: 16055 Epoch 16055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16055With loss 0.1267430099331721 epoch: 16056 Epoch 16056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16056With loss 0.1267430099331721 epoch: 16057 Epoch 16057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16057With loss 0.1267430099331721 epoch: 16058 Epoch 16058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16058With loss 0.1267430099331721 epoch: 16059 Epoch 16059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16059With loss 0.1267430099331721 epoch: 16060 Epoch 16060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16060With loss 0.1267430099331721 epoch: 16061 Epoch 16061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16061With loss 0.1267430099331721 epoch: 16062 Epoch 16062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16062With loss 0.1267430099331721 epoch: 16063 Epoch 16063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16063With loss 0.1267430099331721 epoch: 16064 Epoch 16064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16064With loss 0.1267430099331721 epoch: 16065 Epoch 16065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16065With loss 0.1267430099331721 epoch: 16066 Epoch 16066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16066With loss 0.1267430099331721 epoch: 16067 Epoch 16067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16067With loss 0.1267430099331721 epoch: 16068 Epoch 16068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16068With loss 0.1267430099331721 epoch: 16069 Epoch 16069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16069With loss 0.1267430099331721 epoch: 16070 Epoch 16070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16070With loss 0.1267430099331721 epoch: 16071 Epoch 16071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16071With loss 0.1267430099331721 epoch: 16072 Epoch 16072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16072With loss 0.1267430099331721 epoch: 16073 Epoch 16073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16073With loss 0.1267430099331721 epoch: 16074 Epoch 16074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16074With loss 0.1267430099331721 epoch: 16075 Epoch 16075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16075With loss 0.1267430099331721 epoch: 16076 Epoch 16076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16076With loss 0.1267430099331721 epoch: 16077 Epoch 16077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16077With loss 0.1267430099331721 epoch: 16078 Epoch 16078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16078With loss 0.1267430099331721 epoch: 16079 Epoch 16079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16079With loss 0.1267430099331721 epoch: 16080 Epoch 16080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16080With loss 0.1267430099331721 epoch: 16081 Epoch 16081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16081With loss 0.1267430099331721 epoch: 16082 Epoch 16082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16082With loss 0.1267430099331721 epoch: 16083 Epoch 16083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16083With loss 0.1267430099331721 epoch: 16084 Epoch 16084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16084With loss 0.1267430099331721 epoch: 16085 Epoch 16085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16085With loss 0.1267430099331721 epoch: 16086 Epoch 16086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16086With loss 0.1267430099331721 epoch: 16087 Epoch 16087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16087With loss 0.1267430099331721 epoch: 16088 Epoch 16088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16088With loss 0.1267430099331721 epoch: 16089 Epoch 16089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16089With loss 0.1267430099331721 epoch: 16090 Epoch 16090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16090With loss 0.1267430099331721 epoch: 16091 Epoch 16091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16091With loss 0.1267430099331721 epoch: 16092 Epoch 16092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16092With loss 0.1267430099331721 epoch: 16093 Epoch 16093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16093With loss 0.1267430099331721 epoch: 16094 Epoch 16094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16094With loss 0.1267430099331721 epoch: 16095 Epoch 16095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16095With loss 0.1267430099331721 epoch: 16096 Epoch 16096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16096With loss 0.1267430099331721 epoch: 16097 Epoch 16097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16097With loss 0.1267430099331721 epoch: 16098 Epoch 16098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16098With loss 0.1267430099331721 epoch: 16099 Epoch 16099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16099With loss 0.1267430099331721 epoch: 16100 Epoch 16100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16100With loss 0.1267430099331721 epoch: 16101 Epoch 16101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16101With loss 0.1267430099331721 epoch: 16102 Epoch 16102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16102With loss 0.1267430099331721 epoch: 16103 Epoch 16103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16103With loss 0.1267430099331721 epoch: 16104 Epoch 16104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16104With loss 0.1267430099331721 epoch: 16105 Epoch 16105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16105With loss 0.1267430099331721 epoch: 16106 Epoch 16106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16106With loss 0.1267430099331721 epoch: 16107 Epoch 16107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16107With loss 0.1267430099331721 epoch: 16108 Epoch 16108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16108With loss 0.1267430099331721 epoch: 16109 Epoch 16109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16109With loss 0.1267430099331721 epoch: 16110 Epoch 16110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16110With loss 0.1267430099331721 epoch: 16111 Epoch 16111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16111With loss 0.1267430099331721 epoch: 16112 Epoch 16112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16112With loss 0.1267430099331721 epoch: 16113 Epoch 16113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16113With loss 0.1267430099331721 epoch: 16114 Epoch 16114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16114With loss 0.1267430099331721 epoch: 16115 Epoch 16115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16115With loss 0.1267430099331721 epoch: 16116 Epoch 16116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16116With loss 0.1267430099331721 epoch: 16117 Epoch 16117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16117With loss 0.1267430099331721 epoch: 16118 Epoch 16118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16118With loss 0.1267430099331721 epoch: 16119 Epoch 16119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16119With loss 0.1267430099331721 epoch: 16120 Epoch 16120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16120With loss 0.1267430099331721 epoch: 16121 Epoch 16121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16121With loss 0.1267430099331721 epoch: 16122 Epoch 16122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16122With loss 0.1267430099331721 epoch: 16123 Epoch 16123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16123With loss 0.1267430099331721 epoch: 16124 Epoch 16124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16124With loss 0.1267430099331721 epoch: 16125 Epoch 16125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16125With loss 0.1267430099331721 epoch: 16126 Epoch 16126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16126With loss 0.1267430099331721 epoch: 16127 Epoch 16127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16127With loss 0.1267430099331721 epoch: 16128 Epoch 16128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16128With loss 0.1267430099331721 epoch: 16129 Epoch 16129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16129With loss 0.1267430099331721 epoch: 16130 Epoch 16130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16130With loss 0.1267430099331721 epoch: 16131 Epoch 16131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16131With loss 0.1267430099331721 epoch: 16132 Epoch 16132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16132With loss 0.1267430099331721 epoch: 16133 Epoch 16133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16133With loss 0.1267430099331721 epoch: 16134 Epoch 16134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16134With loss 0.1267430099331721 epoch: 16135 Epoch 16135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16135With loss 0.1267430099331721 epoch: 16136 Epoch 16136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16136With loss 0.1267430099331721 epoch: 16137 Epoch 16137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16137With loss 0.1267430099331721 epoch: 16138 Epoch 16138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16138With loss 0.1267430099331721 epoch: 16139 Epoch 16139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16139With loss 0.1267430099331721 epoch: 16140 Epoch 16140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16140With loss 0.1267430099331721 epoch: 16141 Epoch 16141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16141With loss 0.1267430099331721 epoch: 16142 Epoch 16142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16142With loss 0.1267430099331721 epoch: 16143 Epoch 16143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16143With loss 0.1267430099331721 epoch: 16144 Epoch 16144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16144With loss 0.1267430099331721 epoch: 16145 Epoch 16145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16145With loss 0.1267430099331721 epoch: 16146 Epoch 16146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16146With loss 0.1267430099331721 epoch: 16147 Epoch 16147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16147With loss 0.1267430099331721 epoch: 16148 Epoch 16148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16148With loss 0.1267430099331721 epoch: 16149 Epoch 16149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16149With loss 0.1267430099331721 epoch: 16150 Epoch 16150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16150With loss 0.1267430099331721 epoch: 16151 Epoch 16151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16151With loss 0.1267430099331721 epoch: 16152 Epoch 16152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16152With loss 0.1267430099331721 epoch: 16153 Epoch 16153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16153With loss 0.1267430099331721 epoch: 16154 Epoch 16154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16154With loss 0.1267430099331721 epoch: 16155 Epoch 16155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16155With loss 0.1267430099331721 epoch: 16156 Epoch 16156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16156With loss 0.1267430099331721 epoch: 16157 Epoch 16157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16157With loss 0.1267430099331721 epoch: 16158 Epoch 16158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16158With loss 0.1267430099331721 epoch: 16159 Epoch 16159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16159With loss 0.1267430099331721 epoch: 16160 Epoch 16160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16160With loss 0.1267430099331721 epoch: 16161 Epoch 16161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16161With loss 0.1267430099331721 epoch: 16162 Epoch 16162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16162With loss 0.1267430099331721 epoch: 16163 Epoch 16163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16163With loss 0.1267430099331721 epoch: 16164 Epoch 16164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16164With loss 0.1267430099331721 epoch: 16165 Epoch 16165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16165With loss 0.1267430099331721 epoch: 16166 Epoch 16166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16166With loss 0.1267430099331721 epoch: 16167 Epoch 16167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16167With loss 0.1267430099331721 epoch: 16168 Epoch 16168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16168With loss 0.1267430099331721 epoch: 16169 Epoch 16169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16169With loss 0.1267430099331721 epoch: 16170 Epoch 16170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16170With loss 0.1267430099331721 epoch: 16171 Epoch 16171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16171With loss 0.1267430099331721 epoch: 16172 Epoch 16172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16172With loss 0.1267430099331721 epoch: 16173 Epoch 16173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16173With loss 0.1267430099331721 epoch: 16174 Epoch 16174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16174With loss 0.1267430099331721 epoch: 16175 Epoch 16175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16175With loss 0.1267430099331721 epoch: 16176 Epoch 16176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16176With loss 0.1267430099331721 epoch: 16177 Epoch 16177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16177With loss 0.1267430099331721 epoch: 16178 Epoch 16178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16178With loss 0.1267430099331721 epoch: 16179 Epoch 16179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16179With loss 0.1267430099331721 epoch: 16180 Epoch 16180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16180With loss 0.1267430099331721 epoch: 16181 Epoch 16181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16181With loss 0.1267430099331721 epoch: 16182 Epoch 16182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16182With loss 0.1267430099331721 epoch: 16183 Epoch 16183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16183With loss 0.1267430099331721 epoch: 16184 Epoch 16184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16184With loss 0.1267430099331721 epoch: 16185 Epoch 16185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16185With loss 0.1267430099331721 epoch: 16186 Epoch 16186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16186With loss 0.1267430099331721 epoch: 16187 Epoch 16187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16187With loss 0.1267430099331721 epoch: 16188 Epoch 16188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16188With loss 0.1267430099331721 epoch: 16189 Epoch 16189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16189With loss 0.1267430099331721 epoch: 16190 Epoch 16190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16190With loss 0.1267430099331721 epoch: 16191 Epoch 16191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16191With loss 0.1267430099331721 epoch: 16192 Epoch 16192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16192With loss 0.1267430099331721 epoch: 16193 Epoch 16193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16193With loss 0.1267430099331721 epoch: 16194 Epoch 16194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16194With loss 0.1267430099331721 epoch: 16195 Epoch 16195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16195With loss 0.1267430099331721 epoch: 16196 Epoch 16196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16196With loss 0.1267430099331721 epoch: 16197 Epoch 16197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16197With loss 0.1267430099331721 epoch: 16198 Epoch 16198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16198With loss 0.1267430099331721 epoch: 16199 Epoch 16199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16199With loss 0.1267430099331721 epoch: 16200 Epoch 16200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16200With loss 0.1267430099331721 epoch: 16201 Epoch 16201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16201With loss 0.1267430099331721 epoch: 16202 Epoch 16202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16202With loss 0.1267430099331721 epoch: 16203 Epoch 16203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16203With loss 0.1267430099331721 epoch: 16204 Epoch 16204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16204With loss 0.1267430099331721 epoch: 16205 Epoch 16205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16205With loss 0.1267430099331721 epoch: 16206 Epoch 16206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16206With loss 0.1267430099331721 epoch: 16207 Epoch 16207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16207With loss 0.1267430099331721 epoch: 16208 Epoch 16208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16208With loss 0.1267430099331721 epoch: 16209 Epoch 16209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16209With loss 0.1267430099331721 epoch: 16210 Epoch 16210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16210With loss 0.1267430099331721 epoch: 16211 Epoch 16211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16211With loss 0.1267430099331721 epoch: 16212 Epoch 16212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16212With loss 0.1267430099331721 epoch: 16213 Epoch 16213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16213With loss 0.1267430099331721 epoch: 16214 Epoch 16214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16214With loss 0.1267430099331721 epoch: 16215 Epoch 16215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16215With loss 0.1267430099331721 epoch: 16216 Epoch 16216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16216With loss 0.1267430099331721 epoch: 16217 Epoch 16217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16217With loss 0.1267430099331721 epoch: 16218 Epoch 16218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16218With loss 0.1267430099331721 epoch: 16219 Epoch 16219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16219With loss 0.1267430099331721 epoch: 16220 Epoch 16220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16220With loss 0.1267430099331721 epoch: 16221 Epoch 16221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16221With loss 0.1267430099331721 epoch: 16222 Epoch 16222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16222With loss 0.1267430099331721 epoch: 16223 Epoch 16223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16223With loss 0.1267430099331721 epoch: 16224 Epoch 16224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16224With loss 0.1267430099331721 epoch: 16225 Epoch 16225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16225With loss 0.1267430099331721 epoch: 16226 Epoch 16226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16226With loss 0.1267430099331721 epoch: 16227 Epoch 16227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16227With loss 0.1267430099331721 epoch: 16228 Epoch 16228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16228With loss 0.1267430099331721 epoch: 16229 Epoch 16229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16229With loss 0.1267430099331721 epoch: 16230 Epoch 16230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16230With loss 0.1267430099331721 epoch: 16231 Epoch 16231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16231With loss 0.1267430099331721 epoch: 16232 Epoch 16232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16232With loss 0.1267430099331721 epoch: 16233 Epoch 16233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16233With loss 0.1267430099331721 epoch: 16234 Epoch 16234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16234With loss 0.1267430099331721 epoch: 16235 Epoch 16235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16235With loss 0.1267430099331721 epoch: 16236 Epoch 16236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16236With loss 0.1267430099331721 epoch: 16237 Epoch 16237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16237With loss 0.1267430099331721 epoch: 16238 Epoch 16238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16238With loss 0.1267430099331721 epoch: 16239 Epoch 16239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16239With loss 0.1267430099331721 epoch: 16240 Epoch 16240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16240With loss 0.1267430099331721 epoch: 16241 Epoch 16241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16241With loss 0.1267430099331721 epoch: 16242 Epoch 16242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16242With loss 0.1267430099331721 epoch: 16243 Epoch 16243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16243With loss 0.1267430099331721 epoch: 16244 Epoch 16244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16244With loss 0.1267430099331721 epoch: 16245 Epoch 16245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16245With loss 0.1267430099331721 epoch: 16246 Epoch 16246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16246With loss 0.1267430099331721 epoch: 16247 Epoch 16247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16247With loss 0.1267430099331721 epoch: 16248 Epoch 16248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16248With loss 0.1267430099331721 epoch: 16249 Epoch 16249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16249With loss 0.1267430099331721 epoch: 16250 Epoch 16250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16250With loss 0.1267430099331721 epoch: 16251 Epoch 16251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16251With loss 0.1267430099331721 epoch: 16252 Epoch 16252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16252With loss 0.1267430099331721 epoch: 16253 Epoch 16253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16253With loss 0.1267430099331721 epoch: 16254 Epoch 16254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16254With loss 0.1267430099331721 epoch: 16255 Epoch 16255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16255With loss 0.1267430099331721 epoch: 16256 Epoch 16256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16256With loss 0.1267430099331721 epoch: 16257 Epoch 16257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16257With loss 0.1267430099331721 epoch: 16258 Epoch 16258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16258With loss 0.1267430099331721 epoch: 16259 Epoch 16259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16259With loss 0.1267430099331721 epoch: 16260 Epoch 16260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16260With loss 0.1267430099331721 epoch: 16261 Epoch 16261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16261With loss 0.1267430099331721 epoch: 16262 Epoch 16262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16262With loss 0.1267430099331721 epoch: 16263 Epoch 16263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16263With loss 0.1267430099331721 epoch: 16264 Epoch 16264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16264With loss 0.1267430099331721 epoch: 16265 Epoch 16265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16265With loss 0.1267430099331721 epoch: 16266 Epoch 16266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16266With loss 0.1267430099331721 epoch: 16267 Epoch 16267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16267With loss 0.1267430099331721 epoch: 16268 Epoch 16268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16268With loss 0.1267430099331721 epoch: 16269 Epoch 16269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16269With loss 0.1267430099331721 epoch: 16270 Epoch 16270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16270With loss 0.1267430099331721 epoch: 16271 Epoch 16271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16271With loss 0.1267430099331721 epoch: 16272 Epoch 16272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16272With loss 0.1267430099331721 epoch: 16273 Epoch 16273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16273With loss 0.1267430099331721 epoch: 16274 Epoch 16274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16274With loss 0.1267430099331721 epoch: 16275 Epoch 16275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16275With loss 0.1267430099331721 epoch: 16276 Epoch 16276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16276With loss 0.1267430099331721 epoch: 16277 Epoch 16277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16277With loss 0.1267430099331721 epoch: 16278 Epoch 16278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16278With loss 0.1267430099331721 epoch: 16279 Epoch 16279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16279With loss 0.1267430099331721 epoch: 16280 Epoch 16280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16280With loss 0.1267430099331721 epoch: 16281 Epoch 16281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16281With loss 0.1267430099331721 epoch: 16282 Epoch 16282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16282With loss 0.1267430099331721 epoch: 16283 Epoch 16283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16283With loss 0.1267430099331721 epoch: 16284 Epoch 16284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16284With loss 0.1267430099331721 epoch: 16285 Epoch 16285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16285With loss 0.1267430099331721 epoch: 16286 Epoch 16286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16286With loss 0.1267430099331721 epoch: 16287 Epoch 16287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16287With loss 0.1267430099331721 epoch: 16288 Epoch 16288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16288With loss 0.1267430099331721 epoch: 16289 Epoch 16289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16289With loss 0.1267430099331721 epoch: 16290 Epoch 16290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16290With loss 0.1267430099331721 epoch: 16291 Epoch 16291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16291With loss 0.1267430099331721 epoch: 16292 Epoch 16292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16292With loss 0.1267430099331721 epoch: 16293 Epoch 16293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16293With loss 0.1267430099331721 epoch: 16294 Epoch 16294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16294With loss 0.1267430099331721 epoch: 16295 Epoch 16295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16295With loss 0.1267430099331721 epoch: 16296 Epoch 16296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16296With loss 0.1267430099331721 epoch: 16297 Epoch 16297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16297With loss 0.1267430099331721 epoch: 16298 Epoch 16298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16298With loss 0.1267430099331721 epoch: 16299 Epoch 16299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16299With loss 0.1267430099331721 epoch: 16300 Epoch 16300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16300With loss 0.1267430099331721 epoch: 16301 Epoch 16301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16301With loss 0.1267430099331721 epoch: 16302 Epoch 16302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16302With loss 0.1267430099331721 epoch: 16303 Epoch 16303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16303With loss 0.1267430099331721 epoch: 16304 Epoch 16304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16304With loss 0.1267430099331721 epoch: 16305 Epoch 16305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16305With loss 0.1267430099331721 epoch: 16306 Epoch 16306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16306With loss 0.1267430099331721 epoch: 16307 Epoch 16307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16307With loss 0.1267430099331721 epoch: 16308 Epoch 16308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16308With loss 0.1267430099331721 epoch: 16309 Epoch 16309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16309With loss 0.1267430099331721 epoch: 16310 Epoch 16310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16310With loss 0.1267430099331721 epoch: 16311 Epoch 16311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16311With loss 0.1267430099331721 epoch: 16312 Epoch 16312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16312With loss 0.1267430099331721 epoch: 16313 Epoch 16313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16313With loss 0.1267430099331721 epoch: 16314 Epoch 16314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16314With loss 0.1267430099331721 epoch: 16315 Epoch 16315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16315With loss 0.1267430099331721 epoch: 16316 Epoch 16316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16316With loss 0.1267430099331721 epoch: 16317 Epoch 16317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16317With loss 0.1267430099331721 epoch: 16318 Epoch 16318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16318With loss 0.1267430099331721 epoch: 16319 Epoch 16319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16319With loss 0.1267430099331721 epoch: 16320 Epoch 16320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16320With loss 0.1267430099331721 epoch: 16321 Epoch 16321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16321With loss 0.1267430099331721 epoch: 16322 Epoch 16322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16322With loss 0.1267430099331721 epoch: 16323 Epoch 16323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16323With loss 0.1267430099331721 epoch: 16324 Epoch 16324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16324With loss 0.1267430099331721 epoch: 16325 Epoch 16325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16325With loss 0.1267430099331721 epoch: 16326 Epoch 16326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16326With loss 0.1267430099331721 epoch: 16327 Epoch 16327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16327With loss 0.1267430099331721 epoch: 16328 Epoch 16328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16328With loss 0.1267430099331721 epoch: 16329 Epoch 16329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16329With loss 0.1267430099331721 epoch: 16330 Epoch 16330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16330With loss 0.1267430099331721 epoch: 16331 Epoch 16331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16331With loss 0.1267430099331721 epoch: 16332 Epoch 16332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16332With loss 0.1267430099331721 epoch: 16333 Epoch 16333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16333With loss 0.1267430099331721 epoch: 16334 Epoch 16334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16334With loss 0.1267430099331721 epoch: 16335 Epoch 16335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16335With loss 0.1267430099331721 epoch: 16336 Epoch 16336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16336With loss 0.1267430099331721 epoch: 16337 Epoch 16337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16337With loss 0.1267430099331721 epoch: 16338 Epoch 16338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16338With loss 0.1267430099331721 epoch: 16339 Epoch 16339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16339With loss 0.1267430099331721 epoch: 16340 Epoch 16340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16340With loss 0.1267430099331721 epoch: 16341 Epoch 16341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16341With loss 0.1267430099331721 epoch: 16342 Epoch 16342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16342With loss 0.1267430099331721 epoch: 16343 Epoch 16343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16343With loss 0.1267430099331721 epoch: 16344 Epoch 16344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16344With loss 0.1267430099331721 epoch: 16345 Epoch 16345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16345With loss 0.1267430099331721 epoch: 16346 Epoch 16346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16346With loss 0.1267430099331721 epoch: 16347 Epoch 16347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16347With loss 0.1267430099331721 epoch: 16348 Epoch 16348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16348With loss 0.1267430099331721 epoch: 16349 Epoch 16349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16349With loss 0.1267430099331721 epoch: 16350 Epoch 16350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16350With loss 0.1267430099331721 epoch: 16351 Epoch 16351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16351With loss 0.1267430099331721 epoch: 16352 Epoch 16352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16352With loss 0.1267430099331721 epoch: 16353 Epoch 16353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16353With loss 0.1267430099331721 epoch: 16354 Epoch 16354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16354With loss 0.1267430099331721 epoch: 16355 Epoch 16355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16355With loss 0.1267430099331721 epoch: 16356 Epoch 16356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16356With loss 0.1267430099331721 epoch: 16357 Epoch 16357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16357With loss 0.1267430099331721 epoch: 16358 Epoch 16358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16358With loss 0.1267430099331721 epoch: 16359 Epoch 16359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16359With loss 0.1267430099331721 epoch: 16360 Epoch 16360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16360With loss 0.1267430099331721 epoch: 16361 Epoch 16361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16361With loss 0.1267430099331721 epoch: 16362 Epoch 16362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16362With loss 0.1267430099331721 epoch: 16363 Epoch 16363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16363With loss 0.1267430099331721 epoch: 16364 Epoch 16364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16364With loss 0.1267430099331721 epoch: 16365 Epoch 16365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16365With loss 0.1267430099331721 epoch: 16366 Epoch 16366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16366With loss 0.1267430099331721 epoch: 16367 Epoch 16367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16367With loss 0.1267430099331721 epoch: 16368 Epoch 16368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16368With loss 0.1267430099331721 epoch: 16369 Epoch 16369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16369With loss 0.1267430099331721 epoch: 16370 Epoch 16370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16370With loss 0.1267430099331721 epoch: 16371 Epoch 16371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16371With loss 0.1267430099331721 epoch: 16372 Epoch 16372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16372With loss 0.1267430099331721 epoch: 16373 Epoch 16373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16373With loss 0.1267430099331721 epoch: 16374 Epoch 16374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16374With loss 0.1267430099331721 epoch: 16375 Epoch 16375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16375With loss 0.1267430099331721 epoch: 16376 Epoch 16376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16376With loss 0.1267430099331721 epoch: 16377 Epoch 16377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16377With loss 0.1267430099331721 epoch: 16378 Epoch 16378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16378With loss 0.1267430099331721 epoch: 16379 Epoch 16379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16379With loss 0.1267430099331721 epoch: 16380 Epoch 16380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16380With loss 0.1267430099331721 epoch: 16381 Epoch 16381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16381With loss 0.1267430099331721 epoch: 16382 Epoch 16382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16382With loss 0.1267430099331721 epoch: 16383 Epoch 16383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16383With loss 0.1267430099331721 epoch: 16384 Epoch 16384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16384With loss 0.1267430099331721 epoch: 16385 Epoch 16385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16385With loss 0.1267430099331721 epoch: 16386 Epoch 16386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16386With loss 0.1267430099331721 epoch: 16387 Epoch 16387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16387With loss 0.1267430099331721 epoch: 16388 Epoch 16388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16388With loss 0.1267430099331721 epoch: 16389 Epoch 16389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16389With loss 0.1267430099331721 epoch: 16390 Epoch 16390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16390With loss 0.1267430099331721 epoch: 16391 Epoch 16391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16391With loss 0.1267430099331721 epoch: 16392 Epoch 16392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16392With loss 0.1267430099331721 epoch: 16393 Epoch 16393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16393With loss 0.1267430099331721 epoch: 16394 Epoch 16394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16394With loss 0.1267430099331721 epoch: 16395 Epoch 16395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16395With loss 0.1267430099331721 epoch: 16396 Epoch 16396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16396With loss 0.1267430099331721 epoch: 16397 Epoch 16397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16397With loss 0.1267430099331721 epoch: 16398 Epoch 16398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16398With loss 0.1267430099331721 epoch: 16399 Epoch 16399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16399With loss 0.1267430099331721 epoch: 16400 Epoch 16400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16400With loss 0.1267430099331721 epoch: 16401 Epoch 16401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16401With loss 0.1267430099331721 epoch: 16402 Epoch 16402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16402With loss 0.1267430099331721 epoch: 16403 Epoch 16403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16403With loss 0.1267430099331721 epoch: 16404 Epoch 16404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16404With loss 0.1267430099331721 epoch: 16405 Epoch 16405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16405With loss 0.1267430099331721 epoch: 16406 Epoch 16406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16406With loss 0.1267430099331721 epoch: 16407 Epoch 16407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16407With loss 0.1267430099331721 epoch: 16408 Epoch 16408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16408With loss 0.1267430099331721 epoch: 16409 Epoch 16409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16409With loss 0.1267430099331721 epoch: 16410 Epoch 16410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16410With loss 0.1267430099331721 epoch: 16411 Epoch 16411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16411With loss 0.1267430099331721 epoch: 16412 Epoch 16412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16412With loss 0.1267430099331721 epoch: 16413 Epoch 16413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16413With loss 0.1267430099331721 epoch: 16414 Epoch 16414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16414With loss 0.1267430099331721 epoch: 16415 Epoch 16415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16415With loss 0.1267430099331721 epoch: 16416 Epoch 16416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16416With loss 0.1267430099331721 epoch: 16417 Epoch 16417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16417With loss 0.1267430099331721 epoch: 16418 Epoch 16418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16418With loss 0.1267430099331721 epoch: 16419 Epoch 16419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16419With loss 0.1267430099331721 epoch: 16420 Epoch 16420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16420With loss 0.1267430099331721 epoch: 16421 Epoch 16421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16421With loss 0.1267430099331721 epoch: 16422 Epoch 16422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16422With loss 0.1267430099331721 epoch: 16423 Epoch 16423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16423With loss 0.1267430099331721 epoch: 16424 Epoch 16424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16424With loss 0.1267430099331721 epoch: 16425 Epoch 16425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16425With loss 0.1267430099331721 epoch: 16426 Epoch 16426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16426With loss 0.1267430099331721 epoch: 16427 Epoch 16427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16427With loss 0.1267430099331721 epoch: 16428 Epoch 16428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16428With loss 0.1267430099331721 epoch: 16429 Epoch 16429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16429With loss 0.1267430099331721 epoch: 16430 Epoch 16430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16430With loss 0.1267430099331721 epoch: 16431 Epoch 16431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16431With loss 0.1267430099331721 epoch: 16432 Epoch 16432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16432With loss 0.1267430099331721 epoch: 16433 Epoch 16433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16433With loss 0.1267430099331721 epoch: 16434 Epoch 16434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16434With loss 0.1267430099331721 epoch: 16435 Epoch 16435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16435With loss 0.1267430099331721 epoch: 16436 Epoch 16436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16436With loss 0.1267430099331721 epoch: 16437 Epoch 16437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16437With loss 0.1267430099331721 epoch: 16438 Epoch 16438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16438With loss 0.1267430099331721 epoch: 16439 Epoch 16439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16439With loss 0.1267430099331721 epoch: 16440 Epoch 16440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16440With loss 0.1267430099331721 epoch: 16441 Epoch 16441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16441With loss 0.1267430099331721 epoch: 16442 Epoch 16442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16442With loss 0.1267430099331721 epoch: 16443 Epoch 16443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16443With loss 0.1267430099331721 epoch: 16444 Epoch 16444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16444With loss 0.1267430099331721 epoch: 16445 Epoch 16445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16445With loss 0.1267430099331721 epoch: 16446 Epoch 16446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16446With loss 0.1267430099331721 epoch: 16447 Epoch 16447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16447With loss 0.1267430099331721 epoch: 16448 Epoch 16448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16448With loss 0.1267430099331721 epoch: 16449 Epoch 16449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16449With loss 0.1267430099331721 epoch: 16450 Epoch 16450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16450With loss 0.1267430099331721 epoch: 16451 Epoch 16451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16451With loss 0.1267430099331721 epoch: 16452 Epoch 16452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16452With loss 0.1267430099331721 epoch: 16453 Epoch 16453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16453With loss 0.1267430099331721 epoch: 16454 Epoch 16454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16454With loss 0.1267430099331721 epoch: 16455 Epoch 16455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16455With loss 0.1267430099331721 epoch: 16456 Epoch 16456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16456With loss 0.1267430099331721 epoch: 16457 Epoch 16457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16457With loss 0.1267430099331721 epoch: 16458 Epoch 16458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16458With loss 0.1267430099331721 epoch: 16459 Epoch 16459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16459With loss 0.1267430099331721 epoch: 16460 Epoch 16460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16460With loss 0.1267430099331721 epoch: 16461 Epoch 16461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16461With loss 0.1267430099331721 epoch: 16462 Epoch 16462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16462With loss 0.1267430099331721 epoch: 16463 Epoch 16463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16463With loss 0.1267430099331721 epoch: 16464 Epoch 16464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16464With loss 0.1267430099331721 epoch: 16465 Epoch 16465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16465With loss 0.1267430099331721 epoch: 16466 Epoch 16466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16466With loss 0.1267430099331721 epoch: 16467 Epoch 16467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16467With loss 0.1267430099331721 epoch: 16468 Epoch 16468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16468With loss 0.1267430099331721 epoch: 16469 Epoch 16469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16469With loss 0.1267430099331721 epoch: 16470 Epoch 16470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16470With loss 0.1267430099331721 epoch: 16471 Epoch 16471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16471With loss 0.1267430099331721 epoch: 16472 Epoch 16472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16472With loss 0.1267430099331721 epoch: 16473 Epoch 16473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16473With loss 0.1267430099331721 epoch: 16474 Epoch 16474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16474With loss 0.1267430099331721 epoch: 16475 Epoch 16475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16475With loss 0.1267430099331721 epoch: 16476 Epoch 16476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16476With loss 0.1267430099331721 epoch: 16477 Epoch 16477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16477With loss 0.1267430099331721 epoch: 16478 Epoch 16478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16478With loss 0.1267430099331721 epoch: 16479 Epoch 16479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16479With loss 0.1267430099331721 epoch: 16480 Epoch 16480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16480With loss 0.1267430099331721 epoch: 16481 Epoch 16481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16481With loss 0.1267430099331721 epoch: 16482 Epoch 16482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16482With loss 0.1267430099331721 epoch: 16483 Epoch 16483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16483With loss 0.1267430099331721 epoch: 16484 Epoch 16484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16484With loss 0.1267430099331721 epoch: 16485 Epoch 16485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16485With loss 0.1267430099331721 epoch: 16486 Epoch 16486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16486With loss 0.1267430099331721 epoch: 16487 Epoch 16487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16487With loss 0.1267430099331721 epoch: 16488 Epoch 16488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16488With loss 0.1267430099331721 epoch: 16489 Epoch 16489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16489With loss 0.1267430099331721 epoch: 16490 Epoch 16490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16490With loss 0.1267430099331721 epoch: 16491 Epoch 16491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16491With loss 0.1267430099331721 epoch: 16492 Epoch 16492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16492With loss 0.1267430099331721 epoch: 16493 Epoch 16493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16493With loss 0.1267430099331721 epoch: 16494 Epoch 16494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16494With loss 0.1267430099331721 epoch: 16495 Epoch 16495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16495With loss 0.1267430099331721 epoch: 16496 Epoch 16496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16496With loss 0.1267430099331721 epoch: 16497 Epoch 16497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16497With loss 0.1267430099331721 epoch: 16498 Epoch 16498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16498With loss 0.1267430099331721 epoch: 16499 Epoch 16499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16499With loss 0.1267430099331721 epoch: 16500 Epoch 16500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16500With loss 0.1267430099331721 epoch: 16501 Epoch 16501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16501With loss 0.1267430099331721 epoch: 16502 Epoch 16502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16502With loss 0.1267430099331721 epoch: 16503 Epoch 16503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16503With loss 0.1267430099331721 epoch: 16504 Epoch 16504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16504With loss 0.1267430099331721 epoch: 16505 Epoch 16505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16505With loss 0.1267430099331721 epoch: 16506 Epoch 16506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16506With loss 0.1267430099331721 epoch: 16507 Epoch 16507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16507With loss 0.1267430099331721 epoch: 16508 Epoch 16508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16508With loss 0.1267430099331721 epoch: 16509 Epoch 16509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16509With loss 0.1267430099331721 epoch: 16510 Epoch 16510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16510With loss 0.1267430099331721 epoch: 16511 Epoch 16511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16511With loss 0.1267430099331721 epoch: 16512 Epoch 16512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16512With loss 0.1267430099331721 epoch: 16513 Epoch 16513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16513With loss 0.1267430099331721 epoch: 16514 Epoch 16514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16514With loss 0.1267430099331721 epoch: 16515 Epoch 16515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16515With loss 0.1267430099331721 epoch: 16516 Epoch 16516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16516With loss 0.1267430099331721 epoch: 16517 Epoch 16517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16517With loss 0.1267430099331721 epoch: 16518 Epoch 16518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16518With loss 0.1267430099331721 epoch: 16519 Epoch 16519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16519With loss 0.1267430099331721 epoch: 16520 Epoch 16520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16520With loss 0.1267430099331721 epoch: 16521 Epoch 16521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16521With loss 0.1267430099331721 epoch: 16522 Epoch 16522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16522With loss 0.1267430099331721 epoch: 16523 Epoch 16523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16523With loss 0.1267430099331721 epoch: 16524 Epoch 16524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16524With loss 0.1267430099331721 epoch: 16525 Epoch 16525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16525With loss 0.1267430099331721 epoch: 16526 Epoch 16526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16526With loss 0.1267430099331721 epoch: 16527 Epoch 16527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16527With loss 0.1267430099331721 epoch: 16528 Epoch 16528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16528With loss 0.1267430099331721 epoch: 16529 Epoch 16529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16529With loss 0.1267430099331721 epoch: 16530 Epoch 16530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16530With loss 0.1267430099331721 epoch: 16531 Epoch 16531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16531With loss 0.1267430099331721 epoch: 16532 Epoch 16532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16532With loss 0.1267430099331721 epoch: 16533 Epoch 16533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16533With loss 0.1267430099331721 epoch: 16534 Epoch 16534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16534With loss 0.1267430099331721 epoch: 16535 Epoch 16535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16535With loss 0.1267430099331721 epoch: 16536 Epoch 16536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16536With loss 0.1267430099331721 epoch: 16537 Epoch 16537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16537With loss 0.1267430099331721 epoch: 16538 Epoch 16538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16538With loss 0.1267430099331721 epoch: 16539 Epoch 16539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16539With loss 0.1267430099331721 epoch: 16540 Epoch 16540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16540With loss 0.1267430099331721 epoch: 16541 Epoch 16541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16541With loss 0.1267430099331721 epoch: 16542 Epoch 16542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16542With loss 0.1267430099331721 epoch: 16543 Epoch 16543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16543With loss 0.1267430099331721 epoch: 16544 Epoch 16544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16544With loss 0.1267430099331721 epoch: 16545 Epoch 16545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16545With loss 0.1267430099331721 epoch: 16546 Epoch 16546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16546With loss 0.1267430099331721 epoch: 16547 Epoch 16547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16547With loss 0.1267430099331721 epoch: 16548 Epoch 16548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16548With loss 0.1267430099331721 epoch: 16549 Epoch 16549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16549With loss 0.1267430099331721 epoch: 16550 Epoch 16550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16550With loss 0.1267430099331721 epoch: 16551 Epoch 16551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16551With loss 0.1267430099331721 epoch: 16552 Epoch 16552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16552With loss 0.1267430099331721 epoch: 16553 Epoch 16553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16553With loss 0.1267430099331721 epoch: 16554 Epoch 16554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16554With loss 0.1267430099331721 epoch: 16555 Epoch 16555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16555With loss 0.1267430099331721 epoch: 16556 Epoch 16556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16556With loss 0.1267430099331721 epoch: 16557 Epoch 16557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16557With loss 0.1267430099331721 epoch: 16558 Epoch 16558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16558With loss 0.1267430099331721 epoch: 16559 Epoch 16559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16559With loss 0.1267430099331721 epoch: 16560 Epoch 16560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16560With loss 0.1267430099331721 epoch: 16561 Epoch 16561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16561With loss 0.1267430099331721 epoch: 16562 Epoch 16562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16562With loss 0.1267430099331721 epoch: 16563 Epoch 16563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16563With loss 0.1267430099331721 epoch: 16564 Epoch 16564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16564With loss 0.1267430099331721 epoch: 16565 Epoch 16565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16565With loss 0.1267430099331721 epoch: 16566 Epoch 16566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16566With loss 0.1267430099331721 epoch: 16567 Epoch 16567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16567With loss 0.1267430099331721 epoch: 16568 Epoch 16568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16568With loss 0.1267430099331721 epoch: 16569 Epoch 16569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16569With loss 0.1267430099331721 epoch: 16570 Epoch 16570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16570With loss 0.1267430099331721 epoch: 16571 Epoch 16571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16571With loss 0.1267430099331721 epoch: 16572 Epoch 16572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16572With loss 0.1267430099331721 epoch: 16573 Epoch 16573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16573With loss 0.1267430099331721 epoch: 16574 Epoch 16574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16574With loss 0.1267430099331721 epoch: 16575 Epoch 16575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16575With loss 0.1267430099331721 epoch: 16576 Epoch 16576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16576With loss 0.1267430099331721 epoch: 16577 Epoch 16577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16577With loss 0.1267430099331721 epoch: 16578 Epoch 16578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16578With loss 0.1267430099331721 epoch: 16579 Epoch 16579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16579With loss 0.1267430099331721 epoch: 16580 Epoch 16580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16580With loss 0.1267430099331721 epoch: 16581 Epoch 16581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16581With loss 0.1267430099331721 epoch: 16582 Epoch 16582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16582With loss 0.1267430099331721 epoch: 16583 Epoch 16583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16583With loss 0.1267430099331721 epoch: 16584 Epoch 16584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16584With loss 0.1267430099331721 epoch: 16585 Epoch 16585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16585With loss 0.1267430099331721 epoch: 16586 Epoch 16586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16586With loss 0.1267430099331721 epoch: 16587 Epoch 16587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16587With loss 0.1267430099331721 epoch: 16588 Epoch 16588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16588With loss 0.1267430099331721 epoch: 16589 Epoch 16589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16589With loss 0.1267430099331721 epoch: 16590 Epoch 16590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16590With loss 0.1267430099331721 epoch: 16591 Epoch 16591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16591With loss 0.1267430099331721 epoch: 16592 Epoch 16592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16592With loss 0.1267430099331721 epoch: 16593 Epoch 16593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16593With loss 0.1267430099331721 epoch: 16594 Epoch 16594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16594With loss 0.1267430099331721 epoch: 16595 Epoch 16595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16595With loss 0.1267430099331721 epoch: 16596 Epoch 16596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16596With loss 0.1267430099331721 epoch: 16597 Epoch 16597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16597With loss 0.1267430099331721 epoch: 16598 Epoch 16598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16598With loss 0.1267430099331721 epoch: 16599 Epoch 16599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16599With loss 0.1267430099331721 epoch: 16600 Epoch 16600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16600With loss 0.1267430099331721 epoch: 16601 Epoch 16601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16601With loss 0.1267430099331721 epoch: 16602 Epoch 16602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16602With loss 0.1267430099331721 epoch: 16603 Epoch 16603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16603With loss 0.1267430099331721 epoch: 16604 Epoch 16604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16604With loss 0.1267430099331721 epoch: 16605 Epoch 16605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16605With loss 0.1267430099331721 epoch: 16606 Epoch 16606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16606With loss 0.1267430099331721 epoch: 16607 Epoch 16607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16607With loss 0.1267430099331721 epoch: 16608 Epoch 16608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16608With loss 0.1267430099331721 epoch: 16609 Epoch 16609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16609With loss 0.1267430099331721 epoch: 16610 Epoch 16610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16610With loss 0.1267430099331721 epoch: 16611 Epoch 16611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16611With loss 0.1267430099331721 epoch: 16612 Epoch 16612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16612With loss 0.1267430099331721 epoch: 16613 Epoch 16613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16613With loss 0.1267430099331721 epoch: 16614 Epoch 16614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16614With loss 0.1267430099331721 epoch: 16615 Epoch 16615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16615With loss 0.1267430099331721 epoch: 16616 Epoch 16616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16616With loss 0.1267430099331721 epoch: 16617 Epoch 16617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16617With loss 0.1267430099331721 epoch: 16618 Epoch 16618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16618With loss 0.1267430099331721 epoch: 16619 Epoch 16619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16619With loss 0.1267430099331721 epoch: 16620 Epoch 16620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16620With loss 0.1267430099331721 epoch: 16621 Epoch 16621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16621With loss 0.1267430099331721 epoch: 16622 Epoch 16622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16622With loss 0.1267430099331721 epoch: 16623 Epoch 16623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16623With loss 0.1267430099331721 epoch: 16624 Epoch 16624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16624With loss 0.1267430099331721 epoch: 16625 Epoch 16625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16625With loss 0.1267430099331721 epoch: 16626 Epoch 16626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16626With loss 0.1267430099331721 epoch: 16627 Epoch 16627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16627With loss 0.1267430099331721 epoch: 16628 Epoch 16628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16628With loss 0.1267430099331721 epoch: 16629 Epoch 16629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16629With loss 0.1267430099331721 epoch: 16630 Epoch 16630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16630With loss 0.1267430099331721 epoch: 16631 Epoch 16631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16631With loss 0.1267430099331721 epoch: 16632 Epoch 16632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16632With loss 0.1267430099331721 epoch: 16633 Epoch 16633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16633With loss 0.1267430099331721 epoch: 16634 Epoch 16634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16634With loss 0.1267430099331721 epoch: 16635 Epoch 16635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16635With loss 0.1267430099331721 epoch: 16636 Epoch 16636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16636With loss 0.1267430099331721 epoch: 16637 Epoch 16637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16637With loss 0.1267430099331721 epoch: 16638 Epoch 16638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16638With loss 0.1267430099331721 epoch: 16639 Epoch 16639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16639With loss 0.1267430099331721 epoch: 16640 Epoch 16640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16640With loss 0.1267430099331721 epoch: 16641 Epoch 16641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16641With loss 0.1267430099331721 epoch: 16642 Epoch 16642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16642With loss 0.1267430099331721 epoch: 16643 Epoch 16643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16643With loss 0.1267430099331721 epoch: 16644 Epoch 16644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16644With loss 0.1267430099331721 epoch: 16645 Epoch 16645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16645With loss 0.1267430099331721 epoch: 16646 Epoch 16646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16646With loss 0.1267430099331721 epoch: 16647 Epoch 16647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16647With loss 0.1267430099331721 epoch: 16648 Epoch 16648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16648With loss 0.1267430099331721 epoch: 16649 Epoch 16649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16649With loss 0.1267430099331721 epoch: 16650 Epoch 16650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16650With loss 0.1267430099331721 epoch: 16651 Epoch 16651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16651With loss 0.1267430099331721 epoch: 16652 Epoch 16652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16652With loss 0.1267430099331721 epoch: 16653 Epoch 16653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16653With loss 0.1267430099331721 epoch: 16654 Epoch 16654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16654With loss 0.1267430099331721 epoch: 16655 Epoch 16655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16655With loss 0.1267430099331721 epoch: 16656 Epoch 16656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16656With loss 0.1267430099331721 epoch: 16657 Epoch 16657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16657With loss 0.1267430099331721 epoch: 16658 Epoch 16658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16658With loss 0.1267430099331721 epoch: 16659 Epoch 16659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16659With loss 0.1267430099331721 epoch: 16660 Epoch 16660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16660With loss 0.1267430099331721 epoch: 16661 Epoch 16661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16661With loss 0.1267430099331721 epoch: 16662 Epoch 16662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16662With loss 0.1267430099331721 epoch: 16663 Epoch 16663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16663With loss 0.1267430099331721 epoch: 16664 Epoch 16664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16664With loss 0.1267430099331721 epoch: 16665 Epoch 16665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16665With loss 0.1267430099331721 epoch: 16666 Epoch 16666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16666With loss 0.1267430099331721 epoch: 16667 Epoch 16667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16667With loss 0.1267430099331721 epoch: 16668 Epoch 16668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16668With loss 0.1267430099331721 epoch: 16669 Epoch 16669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16669With loss 0.1267430099331721 epoch: 16670 Epoch 16670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16670With loss 0.1267430099331721 epoch: 16671 Epoch 16671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16671With loss 0.1267430099331721 epoch: 16672 Epoch 16672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16672With loss 0.1267430099331721 epoch: 16673 Epoch 16673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16673With loss 0.1267430099331721 epoch: 16674 Epoch 16674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16674With loss 0.1267430099331721 epoch: 16675 Epoch 16675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16675With loss 0.1267430099331721 epoch: 16676 Epoch 16676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16676With loss 0.1267430099331721 epoch: 16677 Epoch 16677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16677With loss 0.1267430099331721 epoch: 16678 Epoch 16678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16678With loss 0.1267430099331721 epoch: 16679 Epoch 16679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16679With loss 0.1267430099331721 epoch: 16680 Epoch 16680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16680With loss 0.1267430099331721 epoch: 16681 Epoch 16681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16681With loss 0.1267430099331721 epoch: 16682 Epoch 16682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16682With loss 0.1267430099331721 epoch: 16683 Epoch 16683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16683With loss 0.1267430099331721 epoch: 16684 Epoch 16684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16684With loss 0.1267430099331721 epoch: 16685 Epoch 16685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16685With loss 0.1267430099331721 epoch: 16686 Epoch 16686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16686With loss 0.1267430099331721 epoch: 16687 Epoch 16687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16687With loss 0.1267430099331721 epoch: 16688 Epoch 16688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16688With loss 0.1267430099331721 epoch: 16689 Epoch 16689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16689With loss 0.1267430099331721 epoch: 16690 Epoch 16690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16690With loss 0.1267430099331721 epoch: 16691 Epoch 16691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16691With loss 0.1267430099331721 epoch: 16692 Epoch 16692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16692With loss 0.1267430099331721 epoch: 16693 Epoch 16693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16693With loss 0.1267430099331721 epoch: 16694 Epoch 16694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16694With loss 0.1267430099331721 epoch: 16695 Epoch 16695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16695With loss 0.1267430099331721 epoch: 16696 Epoch 16696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16696With loss 0.1267430099331721 epoch: 16697 Epoch 16697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16697With loss 0.1267430099331721 epoch: 16698 Epoch 16698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16698With loss 0.1267430099331721 epoch: 16699 Epoch 16699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16699With loss 0.1267430099331721 epoch: 16700 Epoch 16700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16700With loss 0.1267430099331721 epoch: 16701 Epoch 16701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16701With loss 0.1267430099331721 epoch: 16702 Epoch 16702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16702With loss 0.1267430099331721 epoch: 16703 Epoch 16703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16703With loss 0.1267430099331721 epoch: 16704 Epoch 16704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16704With loss 0.1267430099331721 epoch: 16705 Epoch 16705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16705With loss 0.1267430099331721 epoch: 16706 Epoch 16706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16706With loss 0.1267430099331721 epoch: 16707 Epoch 16707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16707With loss 0.1267430099331721 epoch: 16708 Epoch 16708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16708With loss 0.1267430099331721 epoch: 16709 Epoch 16709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16709With loss 0.1267430099331721 epoch: 16710 Epoch 16710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16710With loss 0.1267430099331721 epoch: 16711 Epoch 16711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16711With loss 0.1267430099331721 epoch: 16712 Epoch 16712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16712With loss 0.1267430099331721 epoch: 16713 Epoch 16713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16713With loss 0.1267430099331721 epoch: 16714 Epoch 16714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16714With loss 0.1267430099331721 epoch: 16715 Epoch 16715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16715With loss 0.1267430099331721 epoch: 16716 Epoch 16716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16716With loss 0.1267430099331721 epoch: 16717 Epoch 16717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16717With loss 0.1267430099331721 epoch: 16718 Epoch 16718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16718With loss 0.1267430099331721 epoch: 16719 Epoch 16719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16719With loss 0.1267430099331721 epoch: 16720 Epoch 16720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16720With loss 0.1267430099331721 epoch: 16721 Epoch 16721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16721With loss 0.1267430099331721 epoch: 16722 Epoch 16722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16722With loss 0.1267430099331721 epoch: 16723 Epoch 16723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16723With loss 0.1267430099331721 epoch: 16724 Epoch 16724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16724With loss 0.1267430099331721 epoch: 16725 Epoch 16725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16725With loss 0.1267430099331721 epoch: 16726 Epoch 16726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16726With loss 0.1267430099331721 epoch: 16727 Epoch 16727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16727With loss 0.1267430099331721 epoch: 16728 Epoch 16728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16728With loss 0.1267430099331721 epoch: 16729 Epoch 16729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16729With loss 0.1267430099331721 epoch: 16730 Epoch 16730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16730With loss 0.1267430099331721 epoch: 16731 Epoch 16731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16731With loss 0.1267430099331721 epoch: 16732 Epoch 16732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16732With loss 0.1267430099331721 epoch: 16733 Epoch 16733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16733With loss 0.1267430099331721 epoch: 16734 Epoch 16734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16734With loss 0.1267430099331721 epoch: 16735 Epoch 16735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16735With loss 0.1267430099331721 epoch: 16736 Epoch 16736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16736With loss 0.1267430099331721 epoch: 16737 Epoch 16737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16737With loss 0.1267430099331721 epoch: 16738 Epoch 16738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16738With loss 0.1267430099331721 epoch: 16739 Epoch 16739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16739With loss 0.1267430099331721 epoch: 16740 Epoch 16740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16740With loss 0.1267430099331721 epoch: 16741 Epoch 16741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16741With loss 0.1267430099331721 epoch: 16742 Epoch 16742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16742With loss 0.1267430099331721 epoch: 16743 Epoch 16743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16743With loss 0.1267430099331721 epoch: 16744 Epoch 16744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16744With loss 0.1267430099331721 epoch: 16745 Epoch 16745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16745With loss 0.1267430099331721 epoch: 16746 Epoch 16746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16746With loss 0.1267430099331721 epoch: 16747 Epoch 16747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16747With loss 0.1267430099331721 epoch: 16748 Epoch 16748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16748With loss 0.1267430099331721 epoch: 16749 Epoch 16749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16749With loss 0.1267430099331721 epoch: 16750 Epoch 16750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16750With loss 0.1267430099331721 epoch: 16751 Epoch 16751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16751With loss 0.1267430099331721 epoch: 16752 Epoch 16752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16752With loss 0.1267430099331721 epoch: 16753 Epoch 16753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16753With loss 0.1267430099331721 epoch: 16754 Epoch 16754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16754With loss 0.1267430099331721 epoch: 16755 Epoch 16755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16755With loss 0.1267430099331721 epoch: 16756 Epoch 16756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16756With loss 0.1267430099331721 epoch: 16757 Epoch 16757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16757With loss 0.1267430099331721 epoch: 16758 Epoch 16758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16758With loss 0.1267430099331721 epoch: 16759 Epoch 16759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16759With loss 0.1267430099331721 epoch: 16760 Epoch 16760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16760With loss 0.1267430099331721 epoch: 16761 Epoch 16761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16761With loss 0.1267430099331721 epoch: 16762 Epoch 16762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16762With loss 0.1267430099331721 epoch: 16763 Epoch 16763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16763With loss 0.1267430099331721 epoch: 16764 Epoch 16764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16764With loss 0.1267430099331721 epoch: 16765 Epoch 16765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16765With loss 0.1267430099331721 epoch: 16766 Epoch 16766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16766With loss 0.1267430099331721 epoch: 16767 Epoch 16767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16767With loss 0.1267430099331721 epoch: 16768 Epoch 16768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16768With loss 0.1267430099331721 epoch: 16769 Epoch 16769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16769With loss 0.1267430099331721 epoch: 16770 Epoch 16770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16770With loss 0.1267430099331721 epoch: 16771 Epoch 16771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16771With loss 0.1267430099331721 epoch: 16772 Epoch 16772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16772With loss 0.1267430099331721 epoch: 16773 Epoch 16773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16773With loss 0.1267430099331721 epoch: 16774 Epoch 16774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16774With loss 0.1267430099331721 epoch: 16775 Epoch 16775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16775With loss 0.1267430099331721 epoch: 16776 Epoch 16776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16776With loss 0.1267430099331721 epoch: 16777 Epoch 16777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16777With loss 0.1267430099331721 epoch: 16778 Epoch 16778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16778With loss 0.1267430099331721 epoch: 16779 Epoch 16779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16779With loss 0.1267430099331721 epoch: 16780 Epoch 16780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16780With loss 0.1267430099331721 epoch: 16781 Epoch 16781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16781With loss 0.1267430099331721 epoch: 16782 Epoch 16782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16782With loss 0.1267430099331721 epoch: 16783 Epoch 16783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16783With loss 0.1267430099331721 epoch: 16784 Epoch 16784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16784With loss 0.1267430099331721 epoch: 16785 Epoch 16785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16785With loss 0.1267430099331721 epoch: 16786 Epoch 16786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16786With loss 0.1267430099331721 epoch: 16787 Epoch 16787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16787With loss 0.1267430099331721 epoch: 16788 Epoch 16788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16788With loss 0.1267430099331721 epoch: 16789 Epoch 16789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16789With loss 0.1267430099331721 epoch: 16790 Epoch 16790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16790With loss 0.1267430099331721 epoch: 16791 Epoch 16791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16791With loss 0.1267430099331721 epoch: 16792 Epoch 16792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16792With loss 0.1267430099331721 epoch: 16793 Epoch 16793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16793With loss 0.1267430099331721 epoch: 16794 Epoch 16794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16794With loss 0.1267430099331721 epoch: 16795 Epoch 16795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16795With loss 0.1267430099331721 epoch: 16796 Epoch 16796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16796With loss 0.1267430099331721 epoch: 16797 Epoch 16797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16797With loss 0.1267430099331721 epoch: 16798 Epoch 16798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16798With loss 0.1267430099331721 epoch: 16799 Epoch 16799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16799With loss 0.1267430099331721 epoch: 16800 Epoch 16800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16800With loss 0.1267430099331721 epoch: 16801 Epoch 16801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16801With loss 0.1267430099331721 epoch: 16802 Epoch 16802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16802With loss 0.1267430099331721 epoch: 16803 Epoch 16803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16803With loss 0.1267430099331721 epoch: 16804 Epoch 16804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16804With loss 0.1267430099331721 epoch: 16805 Epoch 16805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16805With loss 0.1267430099331721 epoch: 16806 Epoch 16806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16806With loss 0.1267430099331721 epoch: 16807 Epoch 16807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16807With loss 0.1267430099331721 epoch: 16808 Epoch 16808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16808With loss 0.1267430099331721 epoch: 16809 Epoch 16809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16809With loss 0.1267430099331721 epoch: 16810 Epoch 16810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16810With loss 0.1267430099331721 epoch: 16811 Epoch 16811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16811With loss 0.1267430099331721 epoch: 16812 Epoch 16812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16812With loss 0.1267430099331721 epoch: 16813 Epoch 16813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16813With loss 0.1267430099331721 epoch: 16814 Epoch 16814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16814With loss 0.1267430099331721 epoch: 16815 Epoch 16815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16815With loss 0.1267430099331721 epoch: 16816 Epoch 16816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16816With loss 0.1267430099331721 epoch: 16817 Epoch 16817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16817With loss 0.1267430099331721 epoch: 16818 Epoch 16818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16818With loss 0.1267430099331721 epoch: 16819 Epoch 16819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16819With loss 0.1267430099331721 epoch: 16820 Epoch 16820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16820With loss 0.1267430099331721 epoch: 16821 Epoch 16821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16821With loss 0.1267430099331721 epoch: 16822 Epoch 16822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16822With loss 0.1267430099331721 epoch: 16823 Epoch 16823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16823With loss 0.1267430099331721 epoch: 16824 Epoch 16824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16824With loss 0.1267430099331721 epoch: 16825 Epoch 16825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16825With loss 0.1267430099331721 epoch: 16826 Epoch 16826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16826With loss 0.1267430099331721 epoch: 16827 Epoch 16827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16827With loss 0.1267430099331721 epoch: 16828 Epoch 16828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16828With loss 0.1267430099331721 epoch: 16829 Epoch 16829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16829With loss 0.1267430099331721 epoch: 16830 Epoch 16830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16830With loss 0.1267430099331721 epoch: 16831 Epoch 16831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16831With loss 0.1267430099331721 epoch: 16832 Epoch 16832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16832With loss 0.1267430099331721 epoch: 16833 Epoch 16833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16833With loss 0.1267430099331721 epoch: 16834 Epoch 16834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16834With loss 0.1267430099331721 epoch: 16835 Epoch 16835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16835With loss 0.1267430099331721 epoch: 16836 Epoch 16836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16836With loss 0.1267430099331721 epoch: 16837 Epoch 16837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16837With loss 0.1267430099331721 epoch: 16838 Epoch 16838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16838With loss 0.1267430099331721 epoch: 16839 Epoch 16839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16839With loss 0.1267430099331721 epoch: 16840 Epoch 16840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16840With loss 0.1267430099331721 epoch: 16841 Epoch 16841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16841With loss 0.1267430099331721 epoch: 16842 Epoch 16842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16842With loss 0.1267430099331721 epoch: 16843 Epoch 16843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16843With loss 0.1267430099331721 epoch: 16844 Epoch 16844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16844With loss 0.1267430099331721 epoch: 16845 Epoch 16845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16845With loss 0.1267430099331721 epoch: 16846 Epoch 16846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16846With loss 0.1267430099331721 epoch: 16847 Epoch 16847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16847With loss 0.1267430099331721 epoch: 16848 Epoch 16848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16848With loss 0.1267430099331721 epoch: 16849 Epoch 16849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16849With loss 0.1267430099331721 epoch: 16850 Epoch 16850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16850With loss 0.1267430099331721 epoch: 16851 Epoch 16851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16851With loss 0.1267430099331721 epoch: 16852 Epoch 16852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16852With loss 0.1267430099331721 epoch: 16853 Epoch 16853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16853With loss 0.1267430099331721 epoch: 16854 Epoch 16854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16854With loss 0.1267430099331721 epoch: 16855 Epoch 16855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16855With loss 0.1267430099331721 epoch: 16856 Epoch 16856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16856With loss 0.1267430099331721 epoch: 16857 Epoch 16857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16857With loss 0.1267430099331721 epoch: 16858 Epoch 16858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16858With loss 0.1267430099331721 epoch: 16859 Epoch 16859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16859With loss 0.1267430099331721 epoch: 16860 Epoch 16860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16860With loss 0.1267430099331721 epoch: 16861 Epoch 16861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16861With loss 0.1267430099331721 epoch: 16862 Epoch 16862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16862With loss 0.1267430099331721 epoch: 16863 Epoch 16863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16863With loss 0.1267430099331721 epoch: 16864 Epoch 16864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16864With loss 0.1267430099331721 epoch: 16865 Epoch 16865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16865With loss 0.1267430099331721 epoch: 16866 Epoch 16866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16866With loss 0.1267430099331721 epoch: 16867 Epoch 16867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16867With loss 0.1267430099331721 epoch: 16868 Epoch 16868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16868With loss 0.1267430099331721 epoch: 16869 Epoch 16869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16869With loss 0.1267430099331721 epoch: 16870 Epoch 16870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16870With loss 0.1267430099331721 epoch: 16871 Epoch 16871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16871With loss 0.1267430099331721 epoch: 16872 Epoch 16872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16872With loss 0.1267430099331721 epoch: 16873 Epoch 16873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16873With loss 0.1267430099331721 epoch: 16874 Epoch 16874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16874With loss 0.1267430099331721 epoch: 16875 Epoch 16875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16875With loss 0.1267430099331721 epoch: 16876 Epoch 16876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16876With loss 0.1267430099331721 epoch: 16877 Epoch 16877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16877With loss 0.1267430099331721 epoch: 16878 Epoch 16878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16878With loss 0.1267430099331721 epoch: 16879 Epoch 16879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16879With loss 0.1267430099331721 epoch: 16880 Epoch 16880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16880With loss 0.1267430099331721 epoch: 16881 Epoch 16881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16881With loss 0.1267430099331721 epoch: 16882 Epoch 16882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16882With loss 0.1267430099331721 epoch: 16883 Epoch 16883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16883With loss 0.1267430099331721 epoch: 16884 Epoch 16884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16884With loss 0.1267430099331721 epoch: 16885 Epoch 16885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16885With loss 0.1267430099331721 epoch: 16886 Epoch 16886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16886With loss 0.1267430099331721 epoch: 16887 Epoch 16887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16887With loss 0.1267430099331721 epoch: 16888 Epoch 16888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16888With loss 0.1267430099331721 epoch: 16889 Epoch 16889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16889With loss 0.1267430099331721 epoch: 16890 Epoch 16890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16890With loss 0.1267430099331721 epoch: 16891 Epoch 16891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16891With loss 0.1267430099331721 epoch: 16892 Epoch 16892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16892With loss 0.1267430099331721 epoch: 16893 Epoch 16893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16893With loss 0.1267430099331721 epoch: 16894 Epoch 16894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16894With loss 0.1267430099331721 epoch: 16895 Epoch 16895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16895With loss 0.1267430099331721 epoch: 16896 Epoch 16896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16896With loss 0.1267430099331721 epoch: 16897 Epoch 16897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16897With loss 0.1267430099331721 epoch: 16898 Epoch 16898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16898With loss 0.1267430099331721 epoch: 16899 Epoch 16899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16899With loss 0.1267430099331721 epoch: 16900 Epoch 16900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16900With loss 0.1267430099331721 epoch: 16901 Epoch 16901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16901With loss 0.1267430099331721 epoch: 16902 Epoch 16902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16902With loss 0.1267430099331721 epoch: 16903 Epoch 16903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16903With loss 0.1267430099331721 epoch: 16904 Epoch 16904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16904With loss 0.1267430099331721 epoch: 16905 Epoch 16905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16905With loss 0.1267430099331721 epoch: 16906 Epoch 16906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16906With loss 0.1267430099331721 epoch: 16907 Epoch 16907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16907With loss 0.1267430099331721 epoch: 16908 Epoch 16908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16908With loss 0.1267430099331721 epoch: 16909 Epoch 16909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16909With loss 0.1267430099331721 epoch: 16910 Epoch 16910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16910With loss 0.1267430099331721 epoch: 16911 Epoch 16911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16911With loss 0.1267430099331721 epoch: 16912 Epoch 16912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16912With loss 0.1267430099331721 epoch: 16913 Epoch 16913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16913With loss 0.1267430099331721 epoch: 16914 Epoch 16914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16914With loss 0.1267430099331721 epoch: 16915 Epoch 16915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16915With loss 0.1267430099331721 epoch: 16916 Epoch 16916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16916With loss 0.1267430099331721 epoch: 16917 Epoch 16917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16917With loss 0.1267430099331721 epoch: 16918 Epoch 16918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16918With loss 0.1267430099331721 epoch: 16919 Epoch 16919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16919With loss 0.1267430099331721 epoch: 16920 Epoch 16920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16920With loss 0.1267430099331721 epoch: 16921 Epoch 16921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16921With loss 0.1267430099331721 epoch: 16922 Epoch 16922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16922With loss 0.1267430099331721 epoch: 16923 Epoch 16923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16923With loss 0.1267430099331721 epoch: 16924 Epoch 16924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16924With loss 0.1267430099331721 epoch: 16925 Epoch 16925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16925With loss 0.1267430099331721 epoch: 16926 Epoch 16926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16926With loss 0.1267430099331721 epoch: 16927 Epoch 16927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16927With loss 0.1267430099331721 epoch: 16928 Epoch 16928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16928With loss 0.1267430099331721 epoch: 16929 Epoch 16929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16929With loss 0.1267430099331721 epoch: 16930 Epoch 16930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16930With loss 0.1267430099331721 epoch: 16931 Epoch 16931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16931With loss 0.1267430099331721 epoch: 16932 Epoch 16932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16932With loss 0.1267430099331721 epoch: 16933 Epoch 16933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16933With loss 0.1267430099331721 epoch: 16934 Epoch 16934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16934With loss 0.1267430099331721 epoch: 16935 Epoch 16935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16935With loss 0.1267430099331721 epoch: 16936 Epoch 16936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16936With loss 0.1267430099331721 epoch: 16937 Epoch 16937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16937With loss 0.1267430099331721 epoch: 16938 Epoch 16938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16938With loss 0.1267430099331721 epoch: 16939 Epoch 16939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16939With loss 0.1267430099331721 epoch: 16940 Epoch 16940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16940With loss 0.1267430099331721 epoch: 16941 Epoch 16941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16941With loss 0.1267430099331721 epoch: 16942 Epoch 16942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16942With loss 0.1267430099331721 epoch: 16943 Epoch 16943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16943With loss 0.1267430099331721 epoch: 16944 Epoch 16944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16944With loss 0.1267430099331721 epoch: 16945 Epoch 16945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16945With loss 0.1267430099331721 epoch: 16946 Epoch 16946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16946With loss 0.1267430099331721 epoch: 16947 Epoch 16947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16947With loss 0.1267430099331721 epoch: 16948 Epoch 16948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16948With loss 0.1267430099331721 epoch: 16949 Epoch 16949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16949With loss 0.1267430099331721 epoch: 16950 Epoch 16950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16950With loss 0.1267430099331721 epoch: 16951 Epoch 16951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16951With loss 0.1267430099331721 epoch: 16952 Epoch 16952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16952With loss 0.1267430099331721 epoch: 16953 Epoch 16953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16953With loss 0.1267430099331721 epoch: 16954 Epoch 16954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16954With loss 0.1267430099331721 epoch: 16955 Epoch 16955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16955With loss 0.1267430099331721 epoch: 16956 Epoch 16956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16956With loss 0.1267430099331721 epoch: 16957 Epoch 16957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16957With loss 0.1267430099331721 epoch: 16958 Epoch 16958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16958With loss 0.1267430099331721 epoch: 16959 Epoch 16959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16959With loss 0.1267430099331721 epoch: 16960 Epoch 16960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16960With loss 0.1267430099331721 epoch: 16961 Epoch 16961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16961With loss 0.1267430099331721 epoch: 16962 Epoch 16962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16962With loss 0.1267430099331721 epoch: 16963 Epoch 16963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16963With loss 0.1267430099331721 epoch: 16964 Epoch 16964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16964With loss 0.1267430099331721 epoch: 16965 Epoch 16965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16965With loss 0.1267430099331721 epoch: 16966 Epoch 16966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16966With loss 0.1267430099331721 epoch: 16967 Epoch 16967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16967With loss 0.1267430099331721 epoch: 16968 Epoch 16968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16968With loss 0.1267430099331721 epoch: 16969 Epoch 16969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16969With loss 0.1267430099331721 epoch: 16970 Epoch 16970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16970With loss 0.1267430099331721 epoch: 16971 Epoch 16971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16971With loss 0.1267430099331721 epoch: 16972 Epoch 16972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16972With loss 0.1267430099331721 epoch: 16973 Epoch 16973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16973With loss 0.1267430099331721 epoch: 16974 Epoch 16974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16974With loss 0.1267430099331721 epoch: 16975 Epoch 16975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16975With loss 0.1267430099331721 epoch: 16976 Epoch 16976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16976With loss 0.1267430099331721 epoch: 16977 Epoch 16977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16977With loss 0.1267430099331721 epoch: 16978 Epoch 16978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16978With loss 0.1267430099331721 epoch: 16979 Epoch 16979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16979With loss 0.1267430099331721 epoch: 16980 Epoch 16980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16980With loss 0.1267430099331721 epoch: 16981 Epoch 16981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16981With loss 0.1267430099331721 epoch: 16982 Epoch 16982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16982With loss 0.1267430099331721 epoch: 16983 Epoch 16983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16983With loss 0.1267430099331721 epoch: 16984 Epoch 16984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16984With loss 0.1267430099331721 epoch: 16985 Epoch 16985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16985With loss 0.1267430099331721 epoch: 16986 Epoch 16986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16986With loss 0.1267430099331721 epoch: 16987 Epoch 16987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16987With loss 0.1267430099331721 epoch: 16988 Epoch 16988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16988With loss 0.1267430099331721 epoch: 16989 Epoch 16989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16989With loss 0.1267430099331721 epoch: 16990 Epoch 16990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16990With loss 0.1267430099331721 epoch: 16991 Epoch 16991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16991With loss 0.1267430099331721 epoch: 16992 Epoch 16992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16992With loss 0.1267430099331721 epoch: 16993 Epoch 16993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16993With loss 0.1267430099331721 epoch: 16994 Epoch 16994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16994With loss 0.1267430099331721 epoch: 16995 Epoch 16995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16995With loss 0.1267430099331721 epoch: 16996 Epoch 16996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16996With loss 0.1267430099331721 epoch: 16997 Epoch 16997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16997With loss 0.1267430099331721 epoch: 16998 Epoch 16998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16998With loss 0.1267430099331721 epoch: 16999 Epoch 16999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 16999With loss 0.1267430099331721 epoch: 17000 Epoch 17000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17000With loss 0.1267430099331721 epoch: 17001 Epoch 17001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17001With loss 0.1267430099331721 epoch: 17002 Epoch 17002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17002With loss 0.1267430099331721 epoch: 17003 Epoch 17003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17003With loss 0.1267430099331721 epoch: 17004 Epoch 17004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17004With loss 0.1267430099331721 epoch: 17005 Epoch 17005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17005With loss 0.1267430099331721 epoch: 17006 Epoch 17006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17006With loss 0.1267430099331721 epoch: 17007 Epoch 17007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17007With loss 0.1267430099331721 epoch: 17008 Epoch 17008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17008With loss 0.1267430099331721 epoch: 17009 Epoch 17009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17009With loss 0.1267430099331721 epoch: 17010 Epoch 17010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17010With loss 0.1267430099331721 epoch: 17011 Epoch 17011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17011With loss 0.1267430099331721 epoch: 17012 Epoch 17012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17012With loss 0.1267430099331721 epoch: 17013 Epoch 17013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17013With loss 0.1267430099331721 epoch: 17014 Epoch 17014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17014With loss 0.1267430099331721 epoch: 17015 Epoch 17015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17015With loss 0.1267430099331721 epoch: 17016 Epoch 17016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17016With loss 0.1267430099331721 epoch: 17017 Epoch 17017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17017With loss 0.1267430099331721 epoch: 17018 Epoch 17018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17018With loss 0.1267430099331721 epoch: 17019 Epoch 17019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17019With loss 0.1267430099331721 epoch: 17020 Epoch 17020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17020With loss 0.1267430099331721 epoch: 17021 Epoch 17021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17021With loss 0.1267430099331721 epoch: 17022 Epoch 17022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17022With loss 0.1267430099331721 epoch: 17023 Epoch 17023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17023With loss 0.1267430099331721 epoch: 17024 Epoch 17024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17024With loss 0.1267430099331721 epoch: 17025 Epoch 17025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17025With loss 0.1267430099331721 epoch: 17026 Epoch 17026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17026With loss 0.1267430099331721 epoch: 17027 Epoch 17027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17027With loss 0.1267430099331721 epoch: 17028 Epoch 17028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17028With loss 0.1267430099331721 epoch: 17029 Epoch 17029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17029With loss 0.1267430099331721 epoch: 17030 Epoch 17030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17030With loss 0.1267430099331721 epoch: 17031 Epoch 17031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17031With loss 0.1267430099331721 epoch: 17032 Epoch 17032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17032With loss 0.1267430099331721 epoch: 17033 Epoch 17033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17033With loss 0.1267430099331721 epoch: 17034 Epoch 17034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17034With loss 0.1267430099331721 epoch: 17035 Epoch 17035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17035With loss 0.1267430099331721 epoch: 17036 Epoch 17036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17036With loss 0.1267430099331721 epoch: 17037 Epoch 17037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17037With loss 0.1267430099331721 epoch: 17038 Epoch 17038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17038With loss 0.1267430099331721 epoch: 17039 Epoch 17039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17039With loss 0.1267430099331721 epoch: 17040 Epoch 17040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17040With loss 0.1267430099331721 epoch: 17041 Epoch 17041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17041With loss 0.1267430099331721 epoch: 17042 Epoch 17042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17042With loss 0.1267430099331721 epoch: 17043 Epoch 17043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17043With loss 0.1267430099331721 epoch: 17044 Epoch 17044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17044With loss 0.1267430099331721 epoch: 17045 Epoch 17045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17045With loss 0.1267430099331721 epoch: 17046 Epoch 17046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17046With loss 0.1267430099331721 epoch: 17047 Epoch 17047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17047With loss 0.1267430099331721 epoch: 17048 Epoch 17048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17048With loss 0.1267430099331721 epoch: 17049 Epoch 17049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17049With loss 0.1267430099331721 epoch: 17050 Epoch 17050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17050With loss 0.1267430099331721 epoch: 17051 Epoch 17051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17051With loss 0.1267430099331721 epoch: 17052 Epoch 17052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17052With loss 0.1267430099331721 epoch: 17053 Epoch 17053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17053With loss 0.1267430099331721 epoch: 17054 Epoch 17054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17054With loss 0.1267430099331721 epoch: 17055 Epoch 17055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17055With loss 0.1267430099331721 epoch: 17056 Epoch 17056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17056With loss 0.1267430099331721 epoch: 17057 Epoch 17057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17057With loss 0.1267430099331721 epoch: 17058 Epoch 17058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17058With loss 0.1267430099331721 epoch: 17059 Epoch 17059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17059With loss 0.1267430099331721 epoch: 17060 Epoch 17060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17060With loss 0.1267430099331721 epoch: 17061 Epoch 17061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17061With loss 0.1267430099331721 epoch: 17062 Epoch 17062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17062With loss 0.1267430099331721 epoch: 17063 Epoch 17063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17063With loss 0.1267430099331721 epoch: 17064 Epoch 17064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17064With loss 0.1267430099331721 epoch: 17065 Epoch 17065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17065With loss 0.1267430099331721 epoch: 17066 Epoch 17066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17066With loss 0.1267430099331721 epoch: 17067 Epoch 17067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17067With loss 0.1267430099331721 epoch: 17068 Epoch 17068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17068With loss 0.1267430099331721 epoch: 17069 Epoch 17069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17069With loss 0.1267430099331721 epoch: 17070 Epoch 17070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17070With loss 0.1267430099331721 epoch: 17071 Epoch 17071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17071With loss 0.1267430099331721 epoch: 17072 Epoch 17072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17072With loss 0.1267430099331721 epoch: 17073 Epoch 17073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17073With loss 0.1267430099331721 epoch: 17074 Epoch 17074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17074With loss 0.1267430099331721 epoch: 17075 Epoch 17075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17075With loss 0.1267430099331721 epoch: 17076 Epoch 17076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17076With loss 0.1267430099331721 epoch: 17077 Epoch 17077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17077With loss 0.1267430099331721 epoch: 17078 Epoch 17078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17078With loss 0.1267430099331721 epoch: 17079 Epoch 17079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17079With loss 0.1267430099331721 epoch: 17080 Epoch 17080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17080With loss 0.1267430099331721 epoch: 17081 Epoch 17081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17081With loss 0.1267430099331721 epoch: 17082 Epoch 17082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17082With loss 0.1267430099331721 epoch: 17083 Epoch 17083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17083With loss 0.1267430099331721 epoch: 17084 Epoch 17084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17084With loss 0.1267430099331721 epoch: 17085 Epoch 17085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17085With loss 0.1267430099331721 epoch: 17086 Epoch 17086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17086With loss 0.1267430099331721 epoch: 17087 Epoch 17087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17087With loss 0.1267430099331721 epoch: 17088 Epoch 17088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17088With loss 0.1267430099331721 epoch: 17089 Epoch 17089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17089With loss 0.1267430099331721 epoch: 17090 Epoch 17090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17090With loss 0.1267430099331721 epoch: 17091 Epoch 17091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17091With loss 0.1267430099331721 epoch: 17092 Epoch 17092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17092With loss 0.1267430099331721 epoch: 17093 Epoch 17093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17093With loss 0.1267430099331721 epoch: 17094 Epoch 17094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17094With loss 0.1267430099331721 epoch: 17095 Epoch 17095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17095With loss 0.1267430099331721 epoch: 17096 Epoch 17096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17096With loss 0.1267430099331721 epoch: 17097 Epoch 17097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17097With loss 0.1267430099331721 epoch: 17098 Epoch 17098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17098With loss 0.1267430099331721 epoch: 17099 Epoch 17099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17099With loss 0.1267430099331721 epoch: 17100 Epoch 17100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17100With loss 0.1267430099331721 epoch: 17101 Epoch 17101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17101With loss 0.1267430099331721 epoch: 17102 Epoch 17102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17102With loss 0.1267430099331721 epoch: 17103 Epoch 17103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17103With loss 0.1267430099331721 epoch: 17104 Epoch 17104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17104With loss 0.1267430099331721 epoch: 17105 Epoch 17105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17105With loss 0.1267430099331721 epoch: 17106 Epoch 17106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17106With loss 0.1267430099331721 epoch: 17107 Epoch 17107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17107With loss 0.1267430099331721 epoch: 17108 Epoch 17108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17108With loss 0.1267430099331721 epoch: 17109 Epoch 17109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17109With loss 0.1267430099331721 epoch: 17110 Epoch 17110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17110With loss 0.1267430099331721 epoch: 17111 Epoch 17111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17111With loss 0.1267430099331721 epoch: 17112 Epoch 17112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17112With loss 0.1267430099331721 epoch: 17113 Epoch 17113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17113With loss 0.1267430099331721 epoch: 17114 Epoch 17114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17114With loss 0.1267430099331721 epoch: 17115 Epoch 17115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17115With loss 0.1267430099331721 epoch: 17116 Epoch 17116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17116With loss 0.1267430099331721 epoch: 17117 Epoch 17117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17117With loss 0.1267430099331721 epoch: 17118 Epoch 17118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17118With loss 0.1267430099331721 epoch: 17119 Epoch 17119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17119With loss 0.1267430099331721 epoch: 17120 Epoch 17120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17120With loss 0.1267430099331721 epoch: 17121 Epoch 17121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17121With loss 0.1267430099331721 epoch: 17122 Epoch 17122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17122With loss 0.1267430099331721 epoch: 17123 Epoch 17123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17123With loss 0.1267430099331721 epoch: 17124 Epoch 17124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17124With loss 0.1267430099331721 epoch: 17125 Epoch 17125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17125With loss 0.1267430099331721 epoch: 17126 Epoch 17126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17126With loss 0.1267430099331721 epoch: 17127 Epoch 17127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17127With loss 0.1267430099331721 epoch: 17128 Epoch 17128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17128With loss 0.1267430099331721 epoch: 17129 Epoch 17129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17129With loss 0.1267430099331721 epoch: 17130 Epoch 17130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17130With loss 0.1267430099331721 epoch: 17131 Epoch 17131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17131With loss 0.1267430099331721 epoch: 17132 Epoch 17132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17132With loss 0.1267430099331721 epoch: 17133 Epoch 17133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17133With loss 0.1267430099331721 epoch: 17134 Epoch 17134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17134With loss 0.1267430099331721 epoch: 17135 Epoch 17135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17135With loss 0.1267430099331721 epoch: 17136 Epoch 17136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17136With loss 0.1267430099331721 epoch: 17137 Epoch 17137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17137With loss 0.1267430099331721 epoch: 17138 Epoch 17138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17138With loss 0.1267430099331721 epoch: 17139 Epoch 17139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17139With loss 0.1267430099331721 epoch: 17140 Epoch 17140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17140With loss 0.1267430099331721 epoch: 17141 Epoch 17141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17141With loss 0.1267430099331721 epoch: 17142 Epoch 17142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17142With loss 0.1267430099331721 epoch: 17143 Epoch 17143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17143With loss 0.1267430099331721 epoch: 17144 Epoch 17144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17144With loss 0.1267430099331721 epoch: 17145 Epoch 17145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17145With loss 0.1267430099331721 epoch: 17146 Epoch 17146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17146With loss 0.1267430099331721 epoch: 17147 Epoch 17147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17147With loss 0.1267430099331721 epoch: 17148 Epoch 17148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17148With loss 0.1267430099331721 epoch: 17149 Epoch 17149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17149With loss 0.1267430099331721 epoch: 17150 Epoch 17150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17150With loss 0.1267430099331721 epoch: 17151 Epoch 17151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17151With loss 0.1267430099331721 epoch: 17152 Epoch 17152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17152With loss 0.1267430099331721 epoch: 17153 Epoch 17153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17153With loss 0.1267430099331721 epoch: 17154 Epoch 17154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17154With loss 0.1267430099331721 epoch: 17155 Epoch 17155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17155With loss 0.1267430099331721 epoch: 17156 Epoch 17156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17156With loss 0.1267430099331721 epoch: 17157 Epoch 17157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17157With loss 0.1267430099331721 epoch: 17158 Epoch 17158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17158With loss 0.1267430099331721 epoch: 17159 Epoch 17159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17159With loss 0.1267430099331721 epoch: 17160 Epoch 17160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17160With loss 0.1267430099331721 epoch: 17161 Epoch 17161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17161With loss 0.1267430099331721 epoch: 17162 Epoch 17162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17162With loss 0.1267430099331721 epoch: 17163 Epoch 17163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17163With loss 0.1267430099331721 epoch: 17164 Epoch 17164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17164With loss 0.1267430099331721 epoch: 17165 Epoch 17165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17165With loss 0.1267430099331721 epoch: 17166 Epoch 17166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17166With loss 0.1267430099331721 epoch: 17167 Epoch 17167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17167With loss 0.1267430099331721 epoch: 17168 Epoch 17168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17168With loss 0.1267430099331721 epoch: 17169 Epoch 17169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17169With loss 0.1267430099331721 epoch: 17170 Epoch 17170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17170With loss 0.1267430099331721 epoch: 17171 Epoch 17171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17171With loss 0.1267430099331721 epoch: 17172 Epoch 17172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17172With loss 0.1267430099331721 epoch: 17173 Epoch 17173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17173With loss 0.1267430099331721 epoch: 17174 Epoch 17174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17174With loss 0.1267430099331721 epoch: 17175 Epoch 17175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17175With loss 0.1267430099331721 epoch: 17176 Epoch 17176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17176With loss 0.1267430099331721 epoch: 17177 Epoch 17177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17177With loss 0.1267430099331721 epoch: 17178 Epoch 17178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17178With loss 0.1267430099331721 epoch: 17179 Epoch 17179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17179With loss 0.1267430099331721 epoch: 17180 Epoch 17180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17180With loss 0.1267430099331721 epoch: 17181 Epoch 17181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17181With loss 0.1267430099331721 epoch: 17182 Epoch 17182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17182With loss 0.1267430099331721 epoch: 17183 Epoch 17183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17183With loss 0.1267430099331721 epoch: 17184 Epoch 17184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17184With loss 0.1267430099331721 epoch: 17185 Epoch 17185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17185With loss 0.1267430099331721 epoch: 17186 Epoch 17186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17186With loss 0.1267430099331721 epoch: 17187 Epoch 17187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17187With loss 0.1267430099331721 epoch: 17188 Epoch 17188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17188With loss 0.1267430099331721 epoch: 17189 Epoch 17189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17189With loss 0.1267430099331721 epoch: 17190 Epoch 17190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17190With loss 0.1267430099331721 epoch: 17191 Epoch 17191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17191With loss 0.1267430099331721 epoch: 17192 Epoch 17192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17192With loss 0.1267430099331721 epoch: 17193 Epoch 17193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17193With loss 0.1267430099331721 epoch: 17194 Epoch 17194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17194With loss 0.1267430099331721 epoch: 17195 Epoch 17195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17195With loss 0.1267430099331721 epoch: 17196 Epoch 17196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17196With loss 0.1267430099331721 epoch: 17197 Epoch 17197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17197With loss 0.1267430099331721 epoch: 17198 Epoch 17198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17198With loss 0.1267430099331721 epoch: 17199 Epoch 17199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17199With loss 0.1267430099331721 epoch: 17200 Epoch 17200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17200With loss 0.1267430099331721 epoch: 17201 Epoch 17201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17201With loss 0.1267430099331721 epoch: 17202 Epoch 17202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17202With loss 0.1267430099331721 epoch: 17203 Epoch 17203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17203With loss 0.1267430099331721 epoch: 17204 Epoch 17204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17204With loss 0.1267430099331721 epoch: 17205 Epoch 17205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17205With loss 0.1267430099331721 epoch: 17206 Epoch 17206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17206With loss 0.1267430099331721 epoch: 17207 Epoch 17207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17207With loss 0.1267430099331721 epoch: 17208 Epoch 17208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17208With loss 0.1267430099331721 epoch: 17209 Epoch 17209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17209With loss 0.1267430099331721 epoch: 17210 Epoch 17210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17210With loss 0.1267430099331721 epoch: 17211 Epoch 17211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17211With loss 0.1267430099331721 epoch: 17212 Epoch 17212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17212With loss 0.1267430099331721 epoch: 17213 Epoch 17213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17213With loss 0.1267430099331721 epoch: 17214 Epoch 17214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17214With loss 0.1267430099331721 epoch: 17215 Epoch 17215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17215With loss 0.1267430099331721 epoch: 17216 Epoch 17216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17216With loss 0.1267430099331721 epoch: 17217 Epoch 17217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17217With loss 0.1267430099331721 epoch: 17218 Epoch 17218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17218With loss 0.1267430099331721 epoch: 17219 Epoch 17219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17219With loss 0.1267430099331721 epoch: 17220 Epoch 17220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17220With loss 0.1267430099331721 epoch: 17221 Epoch 17221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17221With loss 0.1267430099331721 epoch: 17222 Epoch 17222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17222With loss 0.1267430099331721 epoch: 17223 Epoch 17223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17223With loss 0.1267430099331721 epoch: 17224 Epoch 17224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17224With loss 0.1267430099331721 epoch: 17225 Epoch 17225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17225With loss 0.1267430099331721 epoch: 17226 Epoch 17226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17226With loss 0.1267430099331721 epoch: 17227 Epoch 17227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17227With loss 0.1267430099331721 epoch: 17228 Epoch 17228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17228With loss 0.1267430099331721 epoch: 17229 Epoch 17229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17229With loss 0.1267430099331721 epoch: 17230 Epoch 17230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17230With loss 0.1267430099331721 epoch: 17231 Epoch 17231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17231With loss 0.1267430099331721 epoch: 17232 Epoch 17232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17232With loss 0.1267430099331721 epoch: 17233 Epoch 17233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17233With loss 0.1267430099331721 epoch: 17234 Epoch 17234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17234With loss 0.1267430099331721 epoch: 17235 Epoch 17235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17235With loss 0.1267430099331721 epoch: 17236 Epoch 17236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17236With loss 0.1267430099331721 epoch: 17237 Epoch 17237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17237With loss 0.1267430099331721 epoch: 17238 Epoch 17238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17238With loss 0.1267430099331721 epoch: 17239 Epoch 17239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17239With loss 0.1267430099331721 epoch: 17240 Epoch 17240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17240With loss 0.1267430099331721 epoch: 17241 Epoch 17241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17241With loss 0.1267430099331721 epoch: 17242 Epoch 17242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17242With loss 0.1267430099331721 epoch: 17243 Epoch 17243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17243With loss 0.1267430099331721 epoch: 17244 Epoch 17244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17244With loss 0.1267430099331721 epoch: 17245 Epoch 17245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17245With loss 0.1267430099331721 epoch: 17246 Epoch 17246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17246With loss 0.1267430099331721 epoch: 17247 Epoch 17247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17247With loss 0.1267430099331721 epoch: 17248 Epoch 17248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17248With loss 0.1267430099331721 epoch: 17249 Epoch 17249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17249With loss 0.1267430099331721 epoch: 17250 Epoch 17250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17250With loss 0.1267430099331721 epoch: 17251 Epoch 17251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17251With loss 0.1267430099331721 epoch: 17252 Epoch 17252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17252With loss 0.1267430099331721 epoch: 17253 Epoch 17253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17253With loss 0.1267430099331721 epoch: 17254 Epoch 17254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17254With loss 0.1267430099331721 epoch: 17255 Epoch 17255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17255With loss 0.1267430099331721 epoch: 17256 Epoch 17256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17256With loss 0.1267430099331721 epoch: 17257 Epoch 17257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17257With loss 0.1267430099331721 epoch: 17258 Epoch 17258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17258With loss 0.1267430099331721 epoch: 17259 Epoch 17259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17259With loss 0.1267430099331721 epoch: 17260 Epoch 17260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17260With loss 0.1267430099331721 epoch: 17261 Epoch 17261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17261With loss 0.1267430099331721 epoch: 17262 Epoch 17262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17262With loss 0.1267430099331721 epoch: 17263 Epoch 17263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17263With loss 0.1267430099331721 epoch: 17264 Epoch 17264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17264With loss 0.1267430099331721 epoch: 17265 Epoch 17265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17265With loss 0.1267430099331721 epoch: 17266 Epoch 17266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17266With loss 0.1267430099331721 epoch: 17267 Epoch 17267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17267With loss 0.1267430099331721 epoch: 17268 Epoch 17268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17268With loss 0.1267430099331721 epoch: 17269 Epoch 17269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17269With loss 0.1267430099331721 epoch: 17270 Epoch 17270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17270With loss 0.1267430099331721 epoch: 17271 Epoch 17271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17271With loss 0.1267430099331721 epoch: 17272 Epoch 17272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17272With loss 0.1267430099331721 epoch: 17273 Epoch 17273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17273With loss 0.1267430099331721 epoch: 17274 Epoch 17274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17274With loss 0.1267430099331721 epoch: 17275 Epoch 17275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17275With loss 0.1267430099331721 epoch: 17276 Epoch 17276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17276With loss 0.1267430099331721 epoch: 17277 Epoch 17277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17277With loss 0.1267430099331721 epoch: 17278 Epoch 17278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17278With loss 0.1267430099331721 epoch: 17279 Epoch 17279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17279With loss 0.1267430099331721 epoch: 17280 Epoch 17280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17280With loss 0.1267430099331721 epoch: 17281 Epoch 17281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17281With loss 0.1267430099331721 epoch: 17282 Epoch 17282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17282With loss 0.1267430099331721 epoch: 17283 Epoch 17283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17283With loss 0.1267430099331721 epoch: 17284 Epoch 17284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17284With loss 0.1267430099331721 epoch: 17285 Epoch 17285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17285With loss 0.1267430099331721 epoch: 17286 Epoch 17286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17286With loss 0.1267430099331721 epoch: 17287 Epoch 17287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17287With loss 0.1267430099331721 epoch: 17288 Epoch 17288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17288With loss 0.1267430099331721 epoch: 17289 Epoch 17289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17289With loss 0.1267430099331721 epoch: 17290 Epoch 17290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17290With loss 0.1267430099331721 epoch: 17291 Epoch 17291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17291With loss 0.1267430099331721 epoch: 17292 Epoch 17292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17292With loss 0.1267430099331721 epoch: 17293 Epoch 17293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17293With loss 0.1267430099331721 epoch: 17294 Epoch 17294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17294With loss 0.1267430099331721 epoch: 17295 Epoch 17295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17295With loss 0.1267430099331721 epoch: 17296 Epoch 17296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17296With loss 0.1267430099331721 epoch: 17297 Epoch 17297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17297With loss 0.1267430099331721 epoch: 17298 Epoch 17298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17298With loss 0.1267430099331721 epoch: 17299 Epoch 17299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17299With loss 0.1267430099331721 epoch: 17300 Epoch 17300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17300With loss 0.1267430099331721 epoch: 17301 Epoch 17301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17301With loss 0.1267430099331721 epoch: 17302 Epoch 17302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17302With loss 0.1267430099331721 epoch: 17303 Epoch 17303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17303With loss 0.1267430099331721 epoch: 17304 Epoch 17304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17304With loss 0.1267430099331721 epoch: 17305 Epoch 17305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17305With loss 0.1267430099331721 epoch: 17306 Epoch 17306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17306With loss 0.1267430099331721 epoch: 17307 Epoch 17307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17307With loss 0.1267430099331721 epoch: 17308 Epoch 17308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17308With loss 0.1267430099331721 epoch: 17309 Epoch 17309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17309With loss 0.1267430099331721 epoch: 17310 Epoch 17310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17310With loss 0.1267430099331721 epoch: 17311 Epoch 17311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17311With loss 0.1267430099331721 epoch: 17312 Epoch 17312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17312With loss 0.1267430099331721 epoch: 17313 Epoch 17313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17313With loss 0.1267430099331721 epoch: 17314 Epoch 17314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17314With loss 0.1267430099331721 epoch: 17315 Epoch 17315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17315With loss 0.1267430099331721 epoch: 17316 Epoch 17316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17316With loss 0.1267430099331721 epoch: 17317 Epoch 17317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17317With loss 0.1267430099331721 epoch: 17318 Epoch 17318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17318With loss 0.1267430099331721 epoch: 17319 Epoch 17319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17319With loss 0.1267430099331721 epoch: 17320 Epoch 17320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17320With loss 0.1267430099331721 epoch: 17321 Epoch 17321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17321With loss 0.1267430099331721 epoch: 17322 Epoch 17322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17322With loss 0.1267430099331721 epoch: 17323 Epoch 17323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17323With loss 0.1267430099331721 epoch: 17324 Epoch 17324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17324With loss 0.1267430099331721 epoch: 17325 Epoch 17325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17325With loss 0.1267430099331721 epoch: 17326 Epoch 17326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17326With loss 0.1267430099331721 epoch: 17327 Epoch 17327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17327With loss 0.1267430099331721 epoch: 17328 Epoch 17328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17328With loss 0.1267430099331721 epoch: 17329 Epoch 17329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17329With loss 0.1267430099331721 epoch: 17330 Epoch 17330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17330With loss 0.1267430099331721 epoch: 17331 Epoch 17331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17331With loss 0.1267430099331721 epoch: 17332 Epoch 17332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17332With loss 0.1267430099331721 epoch: 17333 Epoch 17333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17333With loss 0.1267430099331721 epoch: 17334 Epoch 17334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17334With loss 0.1267430099331721 epoch: 17335 Epoch 17335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17335With loss 0.1267430099331721 epoch: 17336 Epoch 17336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17336With loss 0.1267430099331721 epoch: 17337 Epoch 17337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17337With loss 0.1267430099331721 epoch: 17338 Epoch 17338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17338With loss 0.1267430099331721 epoch: 17339 Epoch 17339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17339With loss 0.1267430099331721 epoch: 17340 Epoch 17340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17340With loss 0.1267430099331721 epoch: 17341 Epoch 17341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17341With loss 0.1267430099331721 epoch: 17342 Epoch 17342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17342With loss 0.1267430099331721 epoch: 17343 Epoch 17343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17343With loss 0.1267430099331721 epoch: 17344 Epoch 17344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17344With loss 0.1267430099331721 epoch: 17345 Epoch 17345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17345With loss 0.1267430099331721 epoch: 17346 Epoch 17346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17346With loss 0.1267430099331721 epoch: 17347 Epoch 17347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17347With loss 0.1267430099331721 epoch: 17348 Epoch 17348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17348With loss 0.1267430099331721 epoch: 17349 Epoch 17349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17349With loss 0.1267430099331721 epoch: 17350 Epoch 17350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17350With loss 0.1267430099331721 epoch: 17351 Epoch 17351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17351With loss 0.1267430099331721 epoch: 17352 Epoch 17352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17352With loss 0.1267430099331721 epoch: 17353 Epoch 17353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17353With loss 0.1267430099331721 epoch: 17354 Epoch 17354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17354With loss 0.1267430099331721 epoch: 17355 Epoch 17355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17355With loss 0.1267430099331721 epoch: 17356 Epoch 17356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17356With loss 0.1267430099331721 epoch: 17357 Epoch 17357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17357With loss 0.1267430099331721 epoch: 17358 Epoch 17358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17358With loss 0.1267430099331721 epoch: 17359 Epoch 17359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17359With loss 0.1267430099331721 epoch: 17360 Epoch 17360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17360With loss 0.1267430099331721 epoch: 17361 Epoch 17361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17361With loss 0.1267430099331721 epoch: 17362 Epoch 17362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17362With loss 0.1267430099331721 epoch: 17363 Epoch 17363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17363With loss 0.1267430099331721 epoch: 17364 Epoch 17364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17364With loss 0.1267430099331721 epoch: 17365 Epoch 17365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17365With loss 0.1267430099331721 epoch: 17366 Epoch 17366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17366With loss 0.1267430099331721 epoch: 17367 Epoch 17367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17367With loss 0.1267430099331721 epoch: 17368 Epoch 17368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17368With loss 0.1267430099331721 epoch: 17369 Epoch 17369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17369With loss 0.1267430099331721 epoch: 17370 Epoch 17370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17370With loss 0.1267430099331721 epoch: 17371 Epoch 17371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17371With loss 0.1267430099331721 epoch: 17372 Epoch 17372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17372With loss 0.1267430099331721 epoch: 17373 Epoch 17373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17373With loss 0.1267430099331721 epoch: 17374 Epoch 17374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17374With loss 0.1267430099331721 epoch: 17375 Epoch 17375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17375With loss 0.1267430099331721 epoch: 17376 Epoch 17376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17376With loss 0.1267430099331721 epoch: 17377 Epoch 17377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17377With loss 0.1267430099331721 epoch: 17378 Epoch 17378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17378With loss 0.1267430099331721 epoch: 17379 Epoch 17379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17379With loss 0.1267430099331721 epoch: 17380 Epoch 17380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17380With loss 0.1267430099331721 epoch: 17381 Epoch 17381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17381With loss 0.1267430099331721 epoch: 17382 Epoch 17382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17382With loss 0.1267430099331721 epoch: 17383 Epoch 17383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17383With loss 0.1267430099331721 epoch: 17384 Epoch 17384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17384With loss 0.1267430099331721 epoch: 17385 Epoch 17385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17385With loss 0.1267430099331721 epoch: 17386 Epoch 17386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17386With loss 0.1267430099331721 epoch: 17387 Epoch 17387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17387With loss 0.1267430099331721 epoch: 17388 Epoch 17388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17388With loss 0.1267430099331721 epoch: 17389 Epoch 17389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17389With loss 0.1267430099331721 epoch: 17390 Epoch 17390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17390With loss 0.1267430099331721 epoch: 17391 Epoch 17391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17391With loss 0.1267430099331721 epoch: 17392 Epoch 17392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17392With loss 0.1267430099331721 epoch: 17393 Epoch 17393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17393With loss 0.1267430099331721 epoch: 17394 Epoch 17394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17394With loss 0.1267430099331721 epoch: 17395 Epoch 17395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17395With loss 0.1267430099331721 epoch: 17396 Epoch 17396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17396With loss 0.1267430099331721 epoch: 17397 Epoch 17397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17397With loss 0.1267430099331721 epoch: 17398 Epoch 17398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17398With loss 0.1267430099331721 epoch: 17399 Epoch 17399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17399With loss 0.1267430099331721 epoch: 17400 Epoch 17400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17400With loss 0.1267430099331721 epoch: 17401 Epoch 17401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17401With loss 0.1267430099331721 epoch: 17402 Epoch 17402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17402With loss 0.1267430099331721 epoch: 17403 Epoch 17403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17403With loss 0.1267430099331721 epoch: 17404 Epoch 17404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17404With loss 0.1267430099331721 epoch: 17405 Epoch 17405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17405With loss 0.1267430099331721 epoch: 17406 Epoch 17406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17406With loss 0.1267430099331721 epoch: 17407 Epoch 17407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17407With loss 0.1267430099331721 epoch: 17408 Epoch 17408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17408With loss 0.1267430099331721 epoch: 17409 Epoch 17409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17409With loss 0.1267430099331721 epoch: 17410 Epoch 17410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17410With loss 0.1267430099331721 epoch: 17411 Epoch 17411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17411With loss 0.1267430099331721 epoch: 17412 Epoch 17412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17412With loss 0.1267430099331721 epoch: 17413 Epoch 17413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17413With loss 0.1267430099331721 epoch: 17414 Epoch 17414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17414With loss 0.1267430099331721 epoch: 17415 Epoch 17415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17415With loss 0.1267430099331721 epoch: 17416 Epoch 17416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17416With loss 0.1267430099331721 epoch: 17417 Epoch 17417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17417With loss 0.1267430099331721 epoch: 17418 Epoch 17418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17418With loss 0.1267430099331721 epoch: 17419 Epoch 17419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17419With loss 0.1267430099331721 epoch: 17420 Epoch 17420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17420With loss 0.1267430099331721 epoch: 17421 Epoch 17421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17421With loss 0.1267430099331721 epoch: 17422 Epoch 17422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17422With loss 0.1267430099331721 epoch: 17423 Epoch 17423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17423With loss 0.1267430099331721 epoch: 17424 Epoch 17424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17424With loss 0.1267430099331721 epoch: 17425 Epoch 17425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17425With loss 0.1267430099331721 epoch: 17426 Epoch 17426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17426With loss 0.1267430099331721 epoch: 17427 Epoch 17427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17427With loss 0.1267430099331721 epoch: 17428 Epoch 17428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17428With loss 0.1267430099331721 epoch: 17429 Epoch 17429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17429With loss 0.1267430099331721 epoch: 17430 Epoch 17430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17430With loss 0.1267430099331721 epoch: 17431 Epoch 17431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17431With loss 0.1267430099331721 epoch: 17432 Epoch 17432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17432With loss 0.1267430099331721 epoch: 17433 Epoch 17433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17433With loss 0.1267430099331721 epoch: 17434 Epoch 17434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17434With loss 0.1267430099331721 epoch: 17435 Epoch 17435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17435With loss 0.1267430099331721 epoch: 17436 Epoch 17436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17436With loss 0.1267430099331721 epoch: 17437 Epoch 17437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17437With loss 0.1267430099331721 epoch: 17438 Epoch 17438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17438With loss 0.1267430099331721 epoch: 17439 Epoch 17439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17439With loss 0.1267430099331721 epoch: 17440 Epoch 17440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17440With loss 0.1267430099331721 epoch: 17441 Epoch 17441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17441With loss 0.1267430099331721 epoch: 17442 Epoch 17442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17442With loss 0.1267430099331721 epoch: 17443 Epoch 17443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17443With loss 0.1267430099331721 epoch: 17444 Epoch 17444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17444With loss 0.1267430099331721 epoch: 17445 Epoch 17445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17445With loss 0.1267430099331721 epoch: 17446 Epoch 17446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17446With loss 0.1267430099331721 epoch: 17447 Epoch 17447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17447With loss 0.1267430099331721 epoch: 17448 Epoch 17448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17448With loss 0.1267430099331721 epoch: 17449 Epoch 17449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17449With loss 0.1267430099331721 epoch: 17450 Epoch 17450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17450With loss 0.1267430099331721 epoch: 17451 Epoch 17451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17451With loss 0.1267430099331721 epoch: 17452 Epoch 17452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17452With loss 0.1267430099331721 epoch: 17453 Epoch 17453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17453With loss 0.1267430099331721 epoch: 17454 Epoch 17454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17454With loss 0.1267430099331721 epoch: 17455 Epoch 17455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17455With loss 0.1267430099331721 epoch: 17456 Epoch 17456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17456With loss 0.1267430099331721 epoch: 17457 Epoch 17457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17457With loss 0.1267430099331721 epoch: 17458 Epoch 17458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17458With loss 0.1267430099331721 epoch: 17459 Epoch 17459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17459With loss 0.1267430099331721 epoch: 17460 Epoch 17460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17460With loss 0.1267430099331721 epoch: 17461 Epoch 17461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17461With loss 0.1267430099331721 epoch: 17462 Epoch 17462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17462With loss 0.1267430099331721 epoch: 17463 Epoch 17463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17463With loss 0.1267430099331721 epoch: 17464 Epoch 17464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17464With loss 0.1267430099331721 epoch: 17465 Epoch 17465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17465With loss 0.1267430099331721 epoch: 17466 Epoch 17466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17466With loss 0.1267430099331721 epoch: 17467 Epoch 17467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17467With loss 0.1267430099331721 epoch: 17468 Epoch 17468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17468With loss 0.1267430099331721 epoch: 17469 Epoch 17469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17469With loss 0.1267430099331721 epoch: 17470 Epoch 17470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17470With loss 0.1267430099331721 epoch: 17471 Epoch 17471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17471With loss 0.1267430099331721 epoch: 17472 Epoch 17472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17472With loss 0.1267430099331721 epoch: 17473 Epoch 17473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17473With loss 0.1267430099331721 epoch: 17474 Epoch 17474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17474With loss 0.1267430099331721 epoch: 17475 Epoch 17475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17475With loss 0.1267430099331721 epoch: 17476 Epoch 17476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17476With loss 0.1267430099331721 epoch: 17477 Epoch 17477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17477With loss 0.1267430099331721 epoch: 17478 Epoch 17478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17478With loss 0.1267430099331721 epoch: 17479 Epoch 17479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17479With loss 0.1267430099331721 epoch: 17480 Epoch 17480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17480With loss 0.1267430099331721 epoch: 17481 Epoch 17481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17481With loss 0.1267430099331721 epoch: 17482 Epoch 17482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17482With loss 0.1267430099331721 epoch: 17483 Epoch 17483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17483With loss 0.1267430099331721 epoch: 17484 Epoch 17484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17484With loss 0.1267430099331721 epoch: 17485 Epoch 17485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17485With loss 0.1267430099331721 epoch: 17486 Epoch 17486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17486With loss 0.1267430099331721 epoch: 17487 Epoch 17487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17487With loss 0.1267430099331721 epoch: 17488 Epoch 17488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17488With loss 0.1267430099331721 epoch: 17489 Epoch 17489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17489With loss 0.1267430099331721 epoch: 17490 Epoch 17490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17490With loss 0.1267430099331721 epoch: 17491 Epoch 17491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17491With loss 0.1267430099331721 epoch: 17492 Epoch 17492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17492With loss 0.1267430099331721 epoch: 17493 Epoch 17493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17493With loss 0.1267430099331721 epoch: 17494 Epoch 17494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17494With loss 0.1267430099331721 epoch: 17495 Epoch 17495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17495With loss 0.1267430099331721 epoch: 17496 Epoch 17496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17496With loss 0.1267430099331721 epoch: 17497 Epoch 17497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17497With loss 0.1267430099331721 epoch: 17498 Epoch 17498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17498With loss 0.1267430099331721 epoch: 17499 Epoch 17499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17499With loss 0.1267430099331721 epoch: 17500 Epoch 17500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17500With loss 0.1267430099331721 epoch: 17501 Epoch 17501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17501With loss 0.1267430099331721 epoch: 17502 Epoch 17502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17502With loss 0.1267430099331721 epoch: 17503 Epoch 17503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17503With loss 0.1267430099331721 epoch: 17504 Epoch 17504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17504With loss 0.1267430099331721 epoch: 17505 Epoch 17505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17505With loss 0.1267430099331721 epoch: 17506 Epoch 17506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17506With loss 0.1267430099331721 epoch: 17507 Epoch 17507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17507With loss 0.1267430099331721 epoch: 17508 Epoch 17508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17508With loss 0.1267430099331721 epoch: 17509 Epoch 17509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17509With loss 0.1267430099331721 epoch: 17510 Epoch 17510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17510With loss 0.1267430099331721 epoch: 17511 Epoch 17511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17511With loss 0.1267430099331721 epoch: 17512 Epoch 17512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17512With loss 0.1267430099331721 epoch: 17513 Epoch 17513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17513With loss 0.1267430099331721 epoch: 17514 Epoch 17514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17514With loss 0.1267430099331721 epoch: 17515 Epoch 17515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17515With loss 0.1267430099331721 epoch: 17516 Epoch 17516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17516With loss 0.1267430099331721 epoch: 17517 Epoch 17517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17517With loss 0.1267430099331721 epoch: 17518 Epoch 17518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17518With loss 0.1267430099331721 epoch: 17519 Epoch 17519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17519With loss 0.1267430099331721 epoch: 17520 Epoch 17520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17520With loss 0.1267430099331721 epoch: 17521 Epoch 17521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17521With loss 0.1267430099331721 epoch: 17522 Epoch 17522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17522With loss 0.1267430099331721 epoch: 17523 Epoch 17523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17523With loss 0.1267430099331721 epoch: 17524 Epoch 17524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17524With loss 0.1267430099331721 epoch: 17525 Epoch 17525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17525With loss 0.1267430099331721 epoch: 17526 Epoch 17526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17526With loss 0.1267430099331721 epoch: 17527 Epoch 17527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17527With loss 0.1267430099331721 epoch: 17528 Epoch 17528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17528With loss 0.1267430099331721 epoch: 17529 Epoch 17529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17529With loss 0.1267430099331721 epoch: 17530 Epoch 17530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17530With loss 0.1267430099331721 epoch: 17531 Epoch 17531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17531With loss 0.1267430099331721 epoch: 17532 Epoch 17532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17532With loss 0.1267430099331721 epoch: 17533 Epoch 17533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17533With loss 0.1267430099331721 epoch: 17534 Epoch 17534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17534With loss 0.1267430099331721 epoch: 17535 Epoch 17535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17535With loss 0.1267430099331721 epoch: 17536 Epoch 17536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17536With loss 0.1267430099331721 epoch: 17537 Epoch 17537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17537With loss 0.1267430099331721 epoch: 17538 Epoch 17538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17538With loss 0.1267430099331721 epoch: 17539 Epoch 17539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17539With loss 0.1267430099331721 epoch: 17540 Epoch 17540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17540With loss 0.1267430099331721 epoch: 17541 Epoch 17541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17541With loss 0.1267430099331721 epoch: 17542 Epoch 17542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17542With loss 0.1267430099331721 epoch: 17543 Epoch 17543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17543With loss 0.1267430099331721 epoch: 17544 Epoch 17544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17544With loss 0.1267430099331721 epoch: 17545 Epoch 17545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17545With loss 0.1267430099331721 epoch: 17546 Epoch 17546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17546With loss 0.1267430099331721 epoch: 17547 Epoch 17547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17547With loss 0.1267430099331721 epoch: 17548 Epoch 17548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17548With loss 0.1267430099331721 epoch: 17549 Epoch 17549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17549With loss 0.1267430099331721 epoch: 17550 Epoch 17550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17550With loss 0.1267430099331721 epoch: 17551 Epoch 17551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17551With loss 0.1267430099331721 epoch: 17552 Epoch 17552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17552With loss 0.1267430099331721 epoch: 17553 Epoch 17553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17553With loss 0.1267430099331721 epoch: 17554 Epoch 17554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17554With loss 0.1267430099331721 epoch: 17555 Epoch 17555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17555With loss 0.1267430099331721 epoch: 17556 Epoch 17556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17556With loss 0.1267430099331721 epoch: 17557 Epoch 17557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17557With loss 0.1267430099331721 epoch: 17558 Epoch 17558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17558With loss 0.1267430099331721 epoch: 17559 Epoch 17559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17559With loss 0.1267430099331721 epoch: 17560 Epoch 17560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17560With loss 0.1267430099331721 epoch: 17561 Epoch 17561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17561With loss 0.1267430099331721 epoch: 17562 Epoch 17562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17562With loss 0.1267430099331721 epoch: 17563 Epoch 17563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17563With loss 0.1267430099331721 epoch: 17564 Epoch 17564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17564With loss 0.1267430099331721 epoch: 17565 Epoch 17565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17565With loss 0.1267430099331721 epoch: 17566 Epoch 17566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17566With loss 0.1267430099331721 epoch: 17567 Epoch 17567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17567With loss 0.1267430099331721 epoch: 17568 Epoch 17568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17568With loss 0.1267430099331721 epoch: 17569 Epoch 17569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17569With loss 0.1267430099331721 epoch: 17570 Epoch 17570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17570With loss 0.1267430099331721 epoch: 17571 Epoch 17571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17571With loss 0.1267430099331721 epoch: 17572 Epoch 17572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17572With loss 0.1267430099331721 epoch: 17573 Epoch 17573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17573With loss 0.1267430099331721 epoch: 17574 Epoch 17574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17574With loss 0.1267430099331721 epoch: 17575 Epoch 17575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17575With loss 0.1267430099331721 epoch: 17576 Epoch 17576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17576With loss 0.1267430099331721 epoch: 17577 Epoch 17577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17577With loss 0.1267430099331721 epoch: 17578 Epoch 17578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17578With loss 0.1267430099331721 epoch: 17579 Epoch 17579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17579With loss 0.1267430099331721 epoch: 17580 Epoch 17580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17580With loss 0.1267430099331721 epoch: 17581 Epoch 17581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17581With loss 0.1267430099331721 epoch: 17582 Epoch 17582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17582With loss 0.1267430099331721 epoch: 17583 Epoch 17583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17583With loss 0.1267430099331721 epoch: 17584 Epoch 17584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17584With loss 0.1267430099331721 epoch: 17585 Epoch 17585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17585With loss 0.1267430099331721 epoch: 17586 Epoch 17586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17586With loss 0.1267430099331721 epoch: 17587 Epoch 17587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17587With loss 0.1267430099331721 epoch: 17588 Epoch 17588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17588With loss 0.1267430099331721 epoch: 17589 Epoch 17589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17589With loss 0.1267430099331721 epoch: 17590 Epoch 17590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17590With loss 0.1267430099331721 epoch: 17591 Epoch 17591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17591With loss 0.1267430099331721 epoch: 17592 Epoch 17592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17592With loss 0.1267430099331721 epoch: 17593 Epoch 17593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17593With loss 0.1267430099331721 epoch: 17594 Epoch 17594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17594With loss 0.1267430099331721 epoch: 17595 Epoch 17595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17595With loss 0.1267430099331721 epoch: 17596 Epoch 17596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17596With loss 0.1267430099331721 epoch: 17597 Epoch 17597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17597With loss 0.1267430099331721 epoch: 17598 Epoch 17598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17598With loss 0.1267430099331721 epoch: 17599 Epoch 17599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17599With loss 0.1267430099331721 epoch: 17600 Epoch 17600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17600With loss 0.1267430099331721 epoch: 17601 Epoch 17601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17601With loss 0.1267430099331721 epoch: 17602 Epoch 17602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17602With loss 0.1267430099331721 epoch: 17603 Epoch 17603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17603With loss 0.1267430099331721 epoch: 17604 Epoch 17604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17604With loss 0.1267430099331721 epoch: 17605 Epoch 17605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17605With loss 0.1267430099331721 epoch: 17606 Epoch 17606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17606With loss 0.1267430099331721 epoch: 17607 Epoch 17607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17607With loss 0.1267430099331721 epoch: 17608 Epoch 17608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17608With loss 0.1267430099331721 epoch: 17609 Epoch 17609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17609With loss 0.1267430099331721 epoch: 17610 Epoch 17610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17610With loss 0.1267430099331721 epoch: 17611 Epoch 17611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17611With loss 0.1267430099331721 epoch: 17612 Epoch 17612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17612With loss 0.1267430099331721 epoch: 17613 Epoch 17613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17613With loss 0.1267430099331721 epoch: 17614 Epoch 17614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17614With loss 0.1267430099331721 epoch: 17615 Epoch 17615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17615With loss 0.1267430099331721 epoch: 17616 Epoch 17616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17616With loss 0.1267430099331721 epoch: 17617 Epoch 17617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17617With loss 0.1267430099331721 epoch: 17618 Epoch 17618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17618With loss 0.1267430099331721 epoch: 17619 Epoch 17619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17619With loss 0.1267430099331721 epoch: 17620 Epoch 17620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17620With loss 0.1267430099331721 epoch: 17621 Epoch 17621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17621With loss 0.1267430099331721 epoch: 17622 Epoch 17622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17622With loss 0.1267430099331721 epoch: 17623 Epoch 17623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17623With loss 0.1267430099331721 epoch: 17624 Epoch 17624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17624With loss 0.1267430099331721 epoch: 17625 Epoch 17625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17625With loss 0.1267430099331721 epoch: 17626 Epoch 17626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17626With loss 0.1267430099331721 epoch: 17627 Epoch 17627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17627With loss 0.1267430099331721 epoch: 17628 Epoch 17628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17628With loss 0.1267430099331721 epoch: 17629 Epoch 17629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17629With loss 0.1267430099331721 epoch: 17630 Epoch 17630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17630With loss 0.1267430099331721 epoch: 17631 Epoch 17631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17631With loss 0.1267430099331721 epoch: 17632 Epoch 17632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17632With loss 0.1267430099331721 epoch: 17633 Epoch 17633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17633With loss 0.1267430099331721 epoch: 17634 Epoch 17634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17634With loss 0.1267430099331721 epoch: 17635 Epoch 17635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17635With loss 0.1267430099331721 epoch: 17636 Epoch 17636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17636With loss 0.1267430099331721 epoch: 17637 Epoch 17637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17637With loss 0.1267430099331721 epoch: 17638 Epoch 17638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17638With loss 0.1267430099331721 epoch: 17639 Epoch 17639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17639With loss 0.1267430099331721 epoch: 17640 Epoch 17640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17640With loss 0.1267430099331721 epoch: 17641 Epoch 17641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17641With loss 0.1267430099331721 epoch: 17642 Epoch 17642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17642With loss 0.1267430099331721 epoch: 17643 Epoch 17643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17643With loss 0.1267430099331721 epoch: 17644 Epoch 17644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17644With loss 0.1267430099331721 epoch: 17645 Epoch 17645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17645With loss 0.1267430099331721 epoch: 17646 Epoch 17646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17646With loss 0.1267430099331721 epoch: 17647 Epoch 17647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17647With loss 0.1267430099331721 epoch: 17648 Epoch 17648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17648With loss 0.1267430099331721 epoch: 17649 Epoch 17649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17649With loss 0.1267430099331721 epoch: 17650 Epoch 17650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17650With loss 0.1267430099331721 epoch: 17651 Epoch 17651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17651With loss 0.1267430099331721 epoch: 17652 Epoch 17652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17652With loss 0.1267430099331721 epoch: 17653 Epoch 17653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17653With loss 0.1267430099331721 epoch: 17654 Epoch 17654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17654With loss 0.1267430099331721 epoch: 17655 Epoch 17655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17655With loss 0.1267430099331721 epoch: 17656 Epoch 17656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17656With loss 0.1267430099331721 epoch: 17657 Epoch 17657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17657With loss 0.1267430099331721 epoch: 17658 Epoch 17658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17658With loss 0.1267430099331721 epoch: 17659 Epoch 17659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17659With loss 0.1267430099331721 epoch: 17660 Epoch 17660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17660With loss 0.1267430099331721 epoch: 17661 Epoch 17661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17661With loss 0.1267430099331721 epoch: 17662 Epoch 17662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17662With loss 0.1267430099331721 epoch: 17663 Epoch 17663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17663With loss 0.1267430099331721 epoch: 17664 Epoch 17664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17664With loss 0.1267430099331721 epoch: 17665 Epoch 17665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17665With loss 0.1267430099331721 epoch: 17666 Epoch 17666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17666With loss 0.1267430099331721 epoch: 17667 Epoch 17667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17667With loss 0.1267430099331721 epoch: 17668 Epoch 17668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17668With loss 0.1267430099331721 epoch: 17669 Epoch 17669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17669With loss 0.1267430099331721 epoch: 17670 Epoch 17670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17670With loss 0.1267430099331721 epoch: 17671 Epoch 17671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17671With loss 0.1267430099331721 epoch: 17672 Epoch 17672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17672With loss 0.1267430099331721 epoch: 17673 Epoch 17673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17673With loss 0.1267430099331721 epoch: 17674 Epoch 17674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17674With loss 0.1267430099331721 epoch: 17675 Epoch 17675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17675With loss 0.1267430099331721 epoch: 17676 Epoch 17676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17676With loss 0.1267430099331721 epoch: 17677 Epoch 17677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17677With loss 0.1267430099331721 epoch: 17678 Epoch 17678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17678With loss 0.1267430099331721 epoch: 17679 Epoch 17679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17679With loss 0.1267430099331721 epoch: 17680 Epoch 17680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17680With loss 0.1267430099331721 epoch: 17681 Epoch 17681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17681With loss 0.1267430099331721 epoch: 17682 Epoch 17682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17682With loss 0.1267430099331721 epoch: 17683 Epoch 17683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17683With loss 0.1267430099331721 epoch: 17684 Epoch 17684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17684With loss 0.1267430099331721 epoch: 17685 Epoch 17685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17685With loss 0.1267430099331721 epoch: 17686 Epoch 17686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17686With loss 0.1267430099331721 epoch: 17687 Epoch 17687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17687With loss 0.1267430099331721 epoch: 17688 Epoch 17688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17688With loss 0.1267430099331721 epoch: 17689 Epoch 17689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17689With loss 0.1267430099331721 epoch: 17690 Epoch 17690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17690With loss 0.1267430099331721 epoch: 17691 Epoch 17691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17691With loss 0.1267430099331721 epoch: 17692 Epoch 17692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17692With loss 0.1267430099331721 epoch: 17693 Epoch 17693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17693With loss 0.1267430099331721 epoch: 17694 Epoch 17694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17694With loss 0.1267430099331721 epoch: 17695 Epoch 17695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17695With loss 0.1267430099331721 epoch: 17696 Epoch 17696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17696With loss 0.1267430099331721 epoch: 17697 Epoch 17697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17697With loss 0.1267430099331721 epoch: 17698 Epoch 17698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17698With loss 0.1267430099331721 epoch: 17699 Epoch 17699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17699With loss 0.1267430099331721 epoch: 17700 Epoch 17700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17700With loss 0.1267430099331721 epoch: 17701 Epoch 17701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17701With loss 0.1267430099331721 epoch: 17702 Epoch 17702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17702With loss 0.1267430099331721 epoch: 17703 Epoch 17703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17703With loss 0.1267430099331721 epoch: 17704 Epoch 17704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17704With loss 0.1267430099331721 epoch: 17705 Epoch 17705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17705With loss 0.1267430099331721 epoch: 17706 Epoch 17706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17706With loss 0.1267430099331721 epoch: 17707 Epoch 17707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17707With loss 0.1267430099331721 epoch: 17708 Epoch 17708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17708With loss 0.1267430099331721 epoch: 17709 Epoch 17709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17709With loss 0.1267430099331721 epoch: 17710 Epoch 17710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17710With loss 0.1267430099331721 epoch: 17711 Epoch 17711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17711With loss 0.1267430099331721 epoch: 17712 Epoch 17712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17712With loss 0.1267430099331721 epoch: 17713 Epoch 17713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17713With loss 0.1267430099331721 epoch: 17714 Epoch 17714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17714With loss 0.1267430099331721 epoch: 17715 Epoch 17715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17715With loss 0.1267430099331721 epoch: 17716 Epoch 17716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17716With loss 0.1267430099331721 epoch: 17717 Epoch 17717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17717With loss 0.1267430099331721 epoch: 17718 Epoch 17718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17718With loss 0.1267430099331721 epoch: 17719 Epoch 17719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17719With loss 0.1267430099331721 epoch: 17720 Epoch 17720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17720With loss 0.1267430099331721 epoch: 17721 Epoch 17721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17721With loss 0.1267430099331721 epoch: 17722 Epoch 17722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17722With loss 0.1267430099331721 epoch: 17723 Epoch 17723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17723With loss 0.1267430099331721 epoch: 17724 Epoch 17724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17724With loss 0.1267430099331721 epoch: 17725 Epoch 17725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17725With loss 0.1267430099331721 epoch: 17726 Epoch 17726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17726With loss 0.1267430099331721 epoch: 17727 Epoch 17727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17727With loss 0.1267430099331721 epoch: 17728 Epoch 17728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17728With loss 0.1267430099331721 epoch: 17729 Epoch 17729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17729With loss 0.1267430099331721 epoch: 17730 Epoch 17730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17730With loss 0.1267430099331721 epoch: 17731 Epoch 17731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17731With loss 0.1267430099331721 epoch: 17732 Epoch 17732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17732With loss 0.1267430099331721 epoch: 17733 Epoch 17733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17733With loss 0.1267430099331721 epoch: 17734 Epoch 17734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17734With loss 0.1267430099331721 epoch: 17735 Epoch 17735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17735With loss 0.1267430099331721 epoch: 17736 Epoch 17736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17736With loss 0.1267430099331721 epoch: 17737 Epoch 17737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17737With loss 0.1267430099331721 epoch: 17738 Epoch 17738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17738With loss 0.1267430099331721 epoch: 17739 Epoch 17739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17739With loss 0.1267430099331721 epoch: 17740 Epoch 17740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17740With loss 0.1267430099331721 epoch: 17741 Epoch 17741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17741With loss 0.1267430099331721 epoch: 17742 Epoch 17742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17742With loss 0.1267430099331721 epoch: 17743 Epoch 17743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17743With loss 0.1267430099331721 epoch: 17744 Epoch 17744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17744With loss 0.1267430099331721 epoch: 17745 Epoch 17745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17745With loss 0.1267430099331721 epoch: 17746 Epoch 17746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17746With loss 0.1267430099331721 epoch: 17747 Epoch 17747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17747With loss 0.1267430099331721 epoch: 17748 Epoch 17748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17748With loss 0.1267430099331721 epoch: 17749 Epoch 17749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17749With loss 0.1267430099331721 epoch: 17750 Epoch 17750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17750With loss 0.1267430099331721 epoch: 17751 Epoch 17751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17751With loss 0.1267430099331721 epoch: 17752 Epoch 17752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17752With loss 0.1267430099331721 epoch: 17753 Epoch 17753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17753With loss 0.1267430099331721 epoch: 17754 Epoch 17754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17754With loss 0.1267430099331721 epoch: 17755 Epoch 17755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17755With loss 0.1267430099331721 epoch: 17756 Epoch 17756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17756With loss 0.1267430099331721 epoch: 17757 Epoch 17757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17757With loss 0.1267430099331721 epoch: 17758 Epoch 17758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17758With loss 0.1267430099331721 epoch: 17759 Epoch 17759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17759With loss 0.1267430099331721 epoch: 17760 Epoch 17760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17760With loss 0.1267430099331721 epoch: 17761 Epoch 17761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17761With loss 0.1267430099331721 epoch: 17762 Epoch 17762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17762With loss 0.1267430099331721 epoch: 17763 Epoch 17763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17763With loss 0.1267430099331721 epoch: 17764 Epoch 17764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17764With loss 0.1267430099331721 epoch: 17765 Epoch 17765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17765With loss 0.1267430099331721 epoch: 17766 Epoch 17766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17766With loss 0.1267430099331721 epoch: 17767 Epoch 17767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17767With loss 0.1267430099331721 epoch: 17768 Epoch 17768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17768With loss 0.1267430099331721 epoch: 17769 Epoch 17769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17769With loss 0.1267430099331721 epoch: 17770 Epoch 17770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17770With loss 0.1267430099331721 epoch: 17771 Epoch 17771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17771With loss 0.1267430099331721 epoch: 17772 Epoch 17772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17772With loss 0.1267430099331721 epoch: 17773 Epoch 17773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17773With loss 0.1267430099331721 epoch: 17774 Epoch 17774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17774With loss 0.1267430099331721 epoch: 17775 Epoch 17775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17775With loss 0.1267430099331721 epoch: 17776 Epoch 17776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17776With loss 0.1267430099331721 epoch: 17777 Epoch 17777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17777With loss 0.1267430099331721 epoch: 17778 Epoch 17778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17778With loss 0.1267430099331721 epoch: 17779 Epoch 17779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17779With loss 0.1267430099331721 epoch: 17780 Epoch 17780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17780With loss 0.1267430099331721 epoch: 17781 Epoch 17781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17781With loss 0.1267430099331721 epoch: 17782 Epoch 17782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17782With loss 0.1267430099331721 epoch: 17783 Epoch 17783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17783With loss 0.1267430099331721 epoch: 17784 Epoch 17784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17784With loss 0.1267430099331721 epoch: 17785 Epoch 17785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17785With loss 0.1267430099331721 epoch: 17786 Epoch 17786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17786With loss 0.1267430099331721 epoch: 17787 Epoch 17787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17787With loss 0.1267430099331721 epoch: 17788 Epoch 17788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17788With loss 0.1267430099331721 epoch: 17789 Epoch 17789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17789With loss 0.1267430099331721 epoch: 17790 Epoch 17790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17790With loss 0.1267430099331721 epoch: 17791 Epoch 17791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17791With loss 0.1267430099331721 epoch: 17792 Epoch 17792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17792With loss 0.1267430099331721 epoch: 17793 Epoch 17793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17793With loss 0.1267430099331721 epoch: 17794 Epoch 17794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17794With loss 0.1267430099331721 epoch: 17795 Epoch 17795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17795With loss 0.1267430099331721 epoch: 17796 Epoch 17796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17796With loss 0.1267430099331721 epoch: 17797 Epoch 17797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17797With loss 0.1267430099331721 epoch: 17798 Epoch 17798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17798With loss 0.1267430099331721 epoch: 17799 Epoch 17799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17799With loss 0.1267430099331721 epoch: 17800 Epoch 17800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17800With loss 0.1267430099331721 epoch: 17801 Epoch 17801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17801With loss 0.1267430099331721 epoch: 17802 Epoch 17802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17802With loss 0.1267430099331721 epoch: 17803 Epoch 17803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17803With loss 0.1267430099331721 epoch: 17804 Epoch 17804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17804With loss 0.1267430099331721 epoch: 17805 Epoch 17805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17805With loss 0.1267430099331721 epoch: 17806 Epoch 17806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17806With loss 0.1267430099331721 epoch: 17807 Epoch 17807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17807With loss 0.1267430099331721 epoch: 17808 Epoch 17808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17808With loss 0.1267430099331721 epoch: 17809 Epoch 17809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17809With loss 0.1267430099331721 epoch: 17810 Epoch 17810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17810With loss 0.1267430099331721 epoch: 17811 Epoch 17811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17811With loss 0.1267430099331721 epoch: 17812 Epoch 17812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17812With loss 0.1267430099331721 epoch: 17813 Epoch 17813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17813With loss 0.1267430099331721 epoch: 17814 Epoch 17814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17814With loss 0.1267430099331721 epoch: 17815 Epoch 17815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17815With loss 0.1267430099331721 epoch: 17816 Epoch 17816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17816With loss 0.1267430099331721 epoch: 17817 Epoch 17817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17817With loss 0.1267430099331721 epoch: 17818 Epoch 17818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17818With loss 0.1267430099331721 epoch: 17819 Epoch 17819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17819With loss 0.1267430099331721 epoch: 17820 Epoch 17820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17820With loss 0.1267430099331721 epoch: 17821 Epoch 17821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17821With loss 0.1267430099331721 epoch: 17822 Epoch 17822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17822With loss 0.1267430099331721 epoch: 17823 Epoch 17823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17823With loss 0.1267430099331721 epoch: 17824 Epoch 17824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17824With loss 0.1267430099331721 epoch: 17825 Epoch 17825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17825With loss 0.1267430099331721 epoch: 17826 Epoch 17826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17826With loss 0.1267430099331721 epoch: 17827 Epoch 17827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17827With loss 0.1267430099331721 epoch: 17828 Epoch 17828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17828With loss 0.1267430099331721 epoch: 17829 Epoch 17829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17829With loss 0.1267430099331721 epoch: 17830 Epoch 17830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17830With loss 0.1267430099331721 epoch: 17831 Epoch 17831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17831With loss 0.1267430099331721 epoch: 17832 Epoch 17832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17832With loss 0.1267430099331721 epoch: 17833 Epoch 17833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17833With loss 0.1267430099331721 epoch: 17834 Epoch 17834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17834With loss 0.1267430099331721 epoch: 17835 Epoch 17835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17835With loss 0.1267430099331721 epoch: 17836 Epoch 17836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17836With loss 0.1267430099331721 epoch: 17837 Epoch 17837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17837With loss 0.1267430099331721 epoch: 17838 Epoch 17838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17838With loss 0.1267430099331721 epoch: 17839 Epoch 17839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17839With loss 0.1267430099331721 epoch: 17840 Epoch 17840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17840With loss 0.1267430099331721 epoch: 17841 Epoch 17841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17841With loss 0.1267430099331721 epoch: 17842 Epoch 17842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17842With loss 0.1267430099331721 epoch: 17843 Epoch 17843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17843With loss 0.1267430099331721 epoch: 17844 Epoch 17844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17844With loss 0.1267430099331721 epoch: 17845 Epoch 17845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17845With loss 0.1267430099331721 epoch: 17846 Epoch 17846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17846With loss 0.1267430099331721 epoch: 17847 Epoch 17847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17847With loss 0.1267430099331721 epoch: 17848 Epoch 17848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17848With loss 0.1267430099331721 epoch: 17849 Epoch 17849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17849With loss 0.1267430099331721 epoch: 17850 Epoch 17850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17850With loss 0.1267430099331721 epoch: 17851 Epoch 17851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17851With loss 0.1267430099331721 epoch: 17852 Epoch 17852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17852With loss 0.1267430099331721 epoch: 17853 Epoch 17853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17853With loss 0.1267430099331721 epoch: 17854 Epoch 17854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17854With loss 0.1267430099331721 epoch: 17855 Epoch 17855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17855With loss 0.1267430099331721 epoch: 17856 Epoch 17856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17856With loss 0.1267430099331721 epoch: 17857 Epoch 17857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17857With loss 0.1267430099331721 epoch: 17858 Epoch 17858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17858With loss 0.1267430099331721 epoch: 17859 Epoch 17859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17859With loss 0.1267430099331721 epoch: 17860 Epoch 17860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17860With loss 0.1267430099331721 epoch: 17861 Epoch 17861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17861With loss 0.1267430099331721 epoch: 17862 Epoch 17862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17862With loss 0.1267430099331721 epoch: 17863 Epoch 17863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17863With loss 0.1267430099331721 epoch: 17864 Epoch 17864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17864With loss 0.1267430099331721 epoch: 17865 Epoch 17865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17865With loss 0.1267430099331721 epoch: 17866 Epoch 17866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17866With loss 0.1267430099331721 epoch: 17867 Epoch 17867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17867With loss 0.1267430099331721 epoch: 17868 Epoch 17868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17868With loss 0.1267430099331721 epoch: 17869 Epoch 17869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17869With loss 0.1267430099331721 epoch: 17870 Epoch 17870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17870With loss 0.1267430099331721 epoch: 17871 Epoch 17871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17871With loss 0.1267430099331721 epoch: 17872 Epoch 17872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17872With loss 0.1267430099331721 epoch: 17873 Epoch 17873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17873With loss 0.1267430099331721 epoch: 17874 Epoch 17874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17874With loss 0.1267430099331721 epoch: 17875 Epoch 17875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17875With loss 0.1267430099331721 epoch: 17876 Epoch 17876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17876With loss 0.1267430099331721 epoch: 17877 Epoch 17877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17877With loss 0.1267430099331721 epoch: 17878 Epoch 17878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17878With loss 0.1267430099331721 epoch: 17879 Epoch 17879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17879With loss 0.1267430099331721 epoch: 17880 Epoch 17880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17880With loss 0.1267430099331721 epoch: 17881 Epoch 17881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17881With loss 0.1267430099331721 epoch: 17882 Epoch 17882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17882With loss 0.1267430099331721 epoch: 17883 Epoch 17883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17883With loss 0.1267430099331721 epoch: 17884 Epoch 17884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17884With loss 0.1267430099331721 epoch: 17885 Epoch 17885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17885With loss 0.1267430099331721 epoch: 17886 Epoch 17886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17886With loss 0.1267430099331721 epoch: 17887 Epoch 17887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17887With loss 0.1267430099331721 epoch: 17888 Epoch 17888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17888With loss 0.1267430099331721 epoch: 17889 Epoch 17889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17889With loss 0.1267430099331721 epoch: 17890 Epoch 17890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17890With loss 0.1267430099331721 epoch: 17891 Epoch 17891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17891With loss 0.1267430099331721 epoch: 17892 Epoch 17892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17892With loss 0.1267430099331721 epoch: 17893 Epoch 17893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17893With loss 0.1267430099331721 epoch: 17894 Epoch 17894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17894With loss 0.1267430099331721 epoch: 17895 Epoch 17895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17895With loss 0.1267430099331721 epoch: 17896 Epoch 17896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17896With loss 0.1267430099331721 epoch: 17897 Epoch 17897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17897With loss 0.1267430099331721 epoch: 17898 Epoch 17898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17898With loss 0.1267430099331721 epoch: 17899 Epoch 17899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17899With loss 0.1267430099331721 epoch: 17900 Epoch 17900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17900With loss 0.1267430099331721 epoch: 17901 Epoch 17901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17901With loss 0.1267430099331721 epoch: 17902 Epoch 17902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17902With loss 0.1267430099331721 epoch: 17903 Epoch 17903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17903With loss 0.1267430099331721 epoch: 17904 Epoch 17904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17904With loss 0.1267430099331721 epoch: 17905 Epoch 17905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17905With loss 0.1267430099331721 epoch: 17906 Epoch 17906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17906With loss 0.1267430099331721 epoch: 17907 Epoch 17907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17907With loss 0.1267430099331721 epoch: 17908 Epoch 17908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17908With loss 0.1267430099331721 epoch: 17909 Epoch 17909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17909With loss 0.1267430099331721 epoch: 17910 Epoch 17910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17910With loss 0.1267430099331721 epoch: 17911 Epoch 17911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17911With loss 0.1267430099331721 epoch: 17912 Epoch 17912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17912With loss 0.1267430099331721 epoch: 17913 Epoch 17913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17913With loss 0.1267430099331721 epoch: 17914 Epoch 17914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17914With loss 0.1267430099331721 epoch: 17915 Epoch 17915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17915With loss 0.1267430099331721 epoch: 17916 Epoch 17916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17916With loss 0.1267430099331721 epoch: 17917 Epoch 17917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17917With loss 0.1267430099331721 epoch: 17918 Epoch 17918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17918With loss 0.1267430099331721 epoch: 17919 Epoch 17919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17919With loss 0.1267430099331721 epoch: 17920 Epoch 17920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17920With loss 0.1267430099331721 epoch: 17921 Epoch 17921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17921With loss 0.1267430099331721 epoch: 17922 Epoch 17922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17922With loss 0.1267430099331721 epoch: 17923 Epoch 17923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17923With loss 0.1267430099331721 epoch: 17924 Epoch 17924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17924With loss 0.1267430099331721 epoch: 17925 Epoch 17925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17925With loss 0.1267430099331721 epoch: 17926 Epoch 17926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17926With loss 0.1267430099331721 epoch: 17927 Epoch 17927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17927With loss 0.1267430099331721 epoch: 17928 Epoch 17928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17928With loss 0.1267430099331721 epoch: 17929 Epoch 17929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17929With loss 0.1267430099331721 epoch: 17930 Epoch 17930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17930With loss 0.1267430099331721 epoch: 17931 Epoch 17931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17931With loss 0.1267430099331721 epoch: 17932 Epoch 17932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17932With loss 0.1267430099331721 epoch: 17933 Epoch 17933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17933With loss 0.1267430099331721 epoch: 17934 Epoch 17934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17934With loss 0.1267430099331721 epoch: 17935 Epoch 17935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17935With loss 0.1267430099331721 epoch: 17936 Epoch 17936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17936With loss 0.1267430099331721 epoch: 17937 Epoch 17937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17937With loss 0.1267430099331721 epoch: 17938 Epoch 17938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17938With loss 0.1267430099331721 epoch: 17939 Epoch 17939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17939With loss 0.1267430099331721 epoch: 17940 Epoch 17940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17940With loss 0.1267430099331721 epoch: 17941 Epoch 17941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17941With loss 0.1267430099331721 epoch: 17942 Epoch 17942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17942With loss 0.1267430099331721 epoch: 17943 Epoch 17943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17943With loss 0.1267430099331721 epoch: 17944 Epoch 17944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17944With loss 0.1267430099331721 epoch: 17945 Epoch 17945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17945With loss 0.1267430099331721 epoch: 17946 Epoch 17946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17946With loss 0.1267430099331721 epoch: 17947 Epoch 17947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17947With loss 0.1267430099331721 epoch: 17948 Epoch 17948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17948With loss 0.1267430099331721 epoch: 17949 Epoch 17949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17949With loss 0.1267430099331721 epoch: 17950 Epoch 17950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17950With loss 0.1267430099331721 epoch: 17951 Epoch 17951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17951With loss 0.1267430099331721 epoch: 17952 Epoch 17952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17952With loss 0.1267430099331721 epoch: 17953 Epoch 17953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17953With loss 0.1267430099331721 epoch: 17954 Epoch 17954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17954With loss 0.1267430099331721 epoch: 17955 Epoch 17955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17955With loss 0.1267430099331721 epoch: 17956 Epoch 17956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17956With loss 0.1267430099331721 epoch: 17957 Epoch 17957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17957With loss 0.1267430099331721 epoch: 17958 Epoch 17958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17958With loss 0.1267430099331721 epoch: 17959 Epoch 17959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17959With loss 0.1267430099331721 epoch: 17960 Epoch 17960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17960With loss 0.1267430099331721 epoch: 17961 Epoch 17961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17961With loss 0.1267430099331721 epoch: 17962 Epoch 17962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17962With loss 0.1267430099331721 epoch: 17963 Epoch 17963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17963With loss 0.1267430099331721 epoch: 17964 Epoch 17964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17964With loss 0.1267430099331721 epoch: 17965 Epoch 17965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17965With loss 0.1267430099331721 epoch: 17966 Epoch 17966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17966With loss 0.1267430099331721 epoch: 17967 Epoch 17967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17967With loss 0.1267430099331721 epoch: 17968 Epoch 17968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17968With loss 0.1267430099331721 epoch: 17969 Epoch 17969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17969With loss 0.1267430099331721 epoch: 17970 Epoch 17970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17970With loss 0.1267430099331721 epoch: 17971 Epoch 17971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17971With loss 0.1267430099331721 epoch: 17972 Epoch 17972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17972With loss 0.1267430099331721 epoch: 17973 Epoch 17973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17973With loss 0.1267430099331721 epoch: 17974 Epoch 17974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17974With loss 0.1267430099331721 epoch: 17975 Epoch 17975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17975With loss 0.1267430099331721 epoch: 17976 Epoch 17976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17976With loss 0.1267430099331721 epoch: 17977 Epoch 17977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17977With loss 0.1267430099331721 epoch: 17978 Epoch 17978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17978With loss 0.1267430099331721 epoch: 17979 Epoch 17979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17979With loss 0.1267430099331721 epoch: 17980 Epoch 17980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17980With loss 0.1267430099331721 epoch: 17981 Epoch 17981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17981With loss 0.1267430099331721 epoch: 17982 Epoch 17982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17982With loss 0.1267430099331721 epoch: 17983 Epoch 17983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17983With loss 0.1267430099331721 epoch: 17984 Epoch 17984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17984With loss 0.1267430099331721 epoch: 17985 Epoch 17985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17985With loss 0.1267430099331721 epoch: 17986 Epoch 17986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17986With loss 0.1267430099331721 epoch: 17987 Epoch 17987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17987With loss 0.1267430099331721 epoch: 17988 Epoch 17988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17988With loss 0.1267430099331721 epoch: 17989 Epoch 17989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17989With loss 0.1267430099331721 epoch: 17990 Epoch 17990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17990With loss 0.1267430099331721 epoch: 17991 Epoch 17991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17991With loss 0.1267430099331721 epoch: 17992 Epoch 17992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17992With loss 0.1267430099331721 epoch: 17993 Epoch 17993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17993With loss 0.1267430099331721 epoch: 17994 Epoch 17994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17994With loss 0.1267430099331721 epoch: 17995 Epoch 17995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17995With loss 0.1267430099331721 epoch: 17996 Epoch 17996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17996With loss 0.1267430099331721 epoch: 17997 Epoch 17997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17997With loss 0.1267430099331721 epoch: 17998 Epoch 17998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17998With loss 0.1267430099331721 epoch: 17999 Epoch 17999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 17999With loss 0.1267430099331721 epoch: 18000 Epoch 18000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18000With loss 0.1267430099331721 epoch: 18001 Epoch 18001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18001With loss 0.1267430099331721 epoch: 18002 Epoch 18002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18002With loss 0.1267430099331721 epoch: 18003 Epoch 18003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18003With loss 0.1267430099331721 epoch: 18004 Epoch 18004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18004With loss 0.1267430099331721 epoch: 18005 Epoch 18005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18005With loss 0.1267430099331721 epoch: 18006 Epoch 18006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18006With loss 0.1267430099331721 epoch: 18007 Epoch 18007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18007With loss 0.1267430099331721 epoch: 18008 Epoch 18008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18008With loss 0.1267430099331721 epoch: 18009 Epoch 18009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18009With loss 0.1267430099331721 epoch: 18010 Epoch 18010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18010With loss 0.1267430099331721 epoch: 18011 Epoch 18011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18011With loss 0.1267430099331721 epoch: 18012 Epoch 18012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18012With loss 0.1267430099331721 epoch: 18013 Epoch 18013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18013With loss 0.1267430099331721 epoch: 18014 Epoch 18014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18014With loss 0.1267430099331721 epoch: 18015 Epoch 18015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18015With loss 0.1267430099331721 epoch: 18016 Epoch 18016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18016With loss 0.1267430099331721 epoch: 18017 Epoch 18017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18017With loss 0.1267430099331721 epoch: 18018 Epoch 18018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18018With loss 0.1267430099331721 epoch: 18019 Epoch 18019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18019With loss 0.1267430099331721 epoch: 18020 Epoch 18020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18020With loss 0.1267430099331721 epoch: 18021 Epoch 18021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18021With loss 0.1267430099331721 epoch: 18022 Epoch 18022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18022With loss 0.1267430099331721 epoch: 18023 Epoch 18023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18023With loss 0.1267430099331721 epoch: 18024 Epoch 18024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18024With loss 0.1267430099331721 epoch: 18025 Epoch 18025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18025With loss 0.1267430099331721 epoch: 18026 Epoch 18026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18026With loss 0.1267430099331721 epoch: 18027 Epoch 18027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18027With loss 0.1267430099331721 epoch: 18028 Epoch 18028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18028With loss 0.1267430099331721 epoch: 18029 Epoch 18029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18029With loss 0.1267430099331721 epoch: 18030 Epoch 18030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18030With loss 0.1267430099331721 epoch: 18031 Epoch 18031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18031With loss 0.1267430099331721 epoch: 18032 Epoch 18032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18032With loss 0.1267430099331721 epoch: 18033 Epoch 18033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18033With loss 0.1267430099331721 epoch: 18034 Epoch 18034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18034With loss 0.1267430099331721 epoch: 18035 Epoch 18035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18035With loss 0.1267430099331721 epoch: 18036 Epoch 18036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18036With loss 0.1267430099331721 epoch: 18037 Epoch 18037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18037With loss 0.1267430099331721 epoch: 18038 Epoch 18038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18038With loss 0.1267430099331721 epoch: 18039 Epoch 18039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18039With loss 0.1267430099331721 epoch: 18040 Epoch 18040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18040With loss 0.1267430099331721 epoch: 18041 Epoch 18041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18041With loss 0.1267430099331721 epoch: 18042 Epoch 18042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18042With loss 0.1267430099331721 epoch: 18043 Epoch 18043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18043With loss 0.1267430099331721 epoch: 18044 Epoch 18044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18044With loss 0.1267430099331721 epoch: 18045 Epoch 18045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18045With loss 0.1267430099331721 epoch: 18046 Epoch 18046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18046With loss 0.1267430099331721 epoch: 18047 Epoch 18047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18047With loss 0.1267430099331721 epoch: 18048 Epoch 18048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18048With loss 0.1267430099331721 epoch: 18049 Epoch 18049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18049With loss 0.1267430099331721 epoch: 18050 Epoch 18050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18050With loss 0.1267430099331721 epoch: 18051 Epoch 18051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18051With loss 0.1267430099331721 epoch: 18052 Epoch 18052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18052With loss 0.1267430099331721 epoch: 18053 Epoch 18053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18053With loss 0.1267430099331721 epoch: 18054 Epoch 18054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18054With loss 0.1267430099331721 epoch: 18055 Epoch 18055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18055With loss 0.1267430099331721 epoch: 18056 Epoch 18056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18056With loss 0.1267430099331721 epoch: 18057 Epoch 18057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18057With loss 0.1267430099331721 epoch: 18058 Epoch 18058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18058With loss 0.1267430099331721 epoch: 18059 Epoch 18059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18059With loss 0.1267430099331721 epoch: 18060 Epoch 18060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18060With loss 0.1267430099331721 epoch: 18061 Epoch 18061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18061With loss 0.1267430099331721 epoch: 18062 Epoch 18062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18062With loss 0.1267430099331721 epoch: 18063 Epoch 18063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18063With loss 0.1267430099331721 epoch: 18064 Epoch 18064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18064With loss 0.1267430099331721 epoch: 18065 Epoch 18065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18065With loss 0.1267430099331721 epoch: 18066 Epoch 18066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18066With loss 0.1267430099331721 epoch: 18067 Epoch 18067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18067With loss 0.1267430099331721 epoch: 18068 Epoch 18068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18068With loss 0.1267430099331721 epoch: 18069 Epoch 18069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18069With loss 0.1267430099331721 epoch: 18070 Epoch 18070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18070With loss 0.1267430099331721 epoch: 18071 Epoch 18071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18071With loss 0.1267430099331721 epoch: 18072 Epoch 18072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18072With loss 0.1267430099331721 epoch: 18073 Epoch 18073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18073With loss 0.1267430099331721 epoch: 18074 Epoch 18074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18074With loss 0.1267430099331721 epoch: 18075 Epoch 18075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18075With loss 0.1267430099331721 epoch: 18076 Epoch 18076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18076With loss 0.1267430099331721 epoch: 18077 Epoch 18077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18077With loss 0.1267430099331721 epoch: 18078 Epoch 18078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18078With loss 0.1267430099331721 epoch: 18079 Epoch 18079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18079With loss 0.1267430099331721 epoch: 18080 Epoch 18080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18080With loss 0.1267430099331721 epoch: 18081 Epoch 18081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18081With loss 0.1267430099331721 epoch: 18082 Epoch 18082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18082With loss 0.1267430099331721 epoch: 18083 Epoch 18083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18083With loss 0.1267430099331721 epoch: 18084 Epoch 18084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18084With loss 0.1267430099331721 epoch: 18085 Epoch 18085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18085With loss 0.1267430099331721 epoch: 18086 Epoch 18086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18086With loss 0.1267430099331721 epoch: 18087 Epoch 18087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18087With loss 0.1267430099331721 epoch: 18088 Epoch 18088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18088With loss 0.1267430099331721 epoch: 18089 Epoch 18089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18089With loss 0.1267430099331721 epoch: 18090 Epoch 18090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18090With loss 0.1267430099331721 epoch: 18091 Epoch 18091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18091With loss 0.1267430099331721 epoch: 18092 Epoch 18092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18092With loss 0.1267430099331721 epoch: 18093 Epoch 18093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18093With loss 0.1267430099331721 epoch: 18094 Epoch 18094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18094With loss 0.1267430099331721 epoch: 18095 Epoch 18095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18095With loss 0.1267430099331721 epoch: 18096 Epoch 18096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18096With loss 0.1267430099331721 epoch: 18097 Epoch 18097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18097With loss 0.1267430099331721 epoch: 18098 Epoch 18098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18098With loss 0.1267430099331721 epoch: 18099 Epoch 18099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18099With loss 0.1267430099331721 epoch: 18100 Epoch 18100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18100With loss 0.1267430099331721 epoch: 18101 Epoch 18101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18101With loss 0.1267430099331721 epoch: 18102 Epoch 18102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18102With loss 0.1267430099331721 epoch: 18103 Epoch 18103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18103With loss 0.1267430099331721 epoch: 18104 Epoch 18104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18104With loss 0.1267430099331721 epoch: 18105 Epoch 18105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18105With loss 0.1267430099331721 epoch: 18106 Epoch 18106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18106With loss 0.1267430099331721 epoch: 18107 Epoch 18107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18107With loss 0.1267430099331721 epoch: 18108 Epoch 18108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18108With loss 0.1267430099331721 epoch: 18109 Epoch 18109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18109With loss 0.1267430099331721 epoch: 18110 Epoch 18110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18110With loss 0.1267430099331721 epoch: 18111 Epoch 18111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18111With loss 0.1267430099331721 epoch: 18112 Epoch 18112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18112With loss 0.1267430099331721 epoch: 18113 Epoch 18113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18113With loss 0.1267430099331721 epoch: 18114 Epoch 18114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18114With loss 0.1267430099331721 epoch: 18115 Epoch 18115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18115With loss 0.1267430099331721 epoch: 18116 Epoch 18116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18116With loss 0.1267430099331721 epoch: 18117 Epoch 18117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18117With loss 0.1267430099331721 epoch: 18118 Epoch 18118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18118With loss 0.1267430099331721 epoch: 18119 Epoch 18119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18119With loss 0.1267430099331721 epoch: 18120 Epoch 18120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18120With loss 0.1267430099331721 epoch: 18121 Epoch 18121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18121With loss 0.1267430099331721 epoch: 18122 Epoch 18122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18122With loss 0.1267430099331721 epoch: 18123 Epoch 18123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18123With loss 0.1267430099331721 epoch: 18124 Epoch 18124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18124With loss 0.1267430099331721 epoch: 18125 Epoch 18125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18125With loss 0.1267430099331721 epoch: 18126 Epoch 18126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18126With loss 0.1267430099331721 epoch: 18127 Epoch 18127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18127With loss 0.1267430099331721 epoch: 18128 Epoch 18128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18128With loss 0.1267430099331721 epoch: 18129 Epoch 18129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18129With loss 0.1267430099331721 epoch: 18130 Epoch 18130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18130With loss 0.1267430099331721 epoch: 18131 Epoch 18131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18131With loss 0.1267430099331721 epoch: 18132 Epoch 18132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18132With loss 0.1267430099331721 epoch: 18133 Epoch 18133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18133With loss 0.1267430099331721 epoch: 18134 Epoch 18134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18134With loss 0.1267430099331721 epoch: 18135 Epoch 18135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18135With loss 0.1267430099331721 epoch: 18136 Epoch 18136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18136With loss 0.1267430099331721 epoch: 18137 Epoch 18137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18137With loss 0.1267430099331721 epoch: 18138 Epoch 18138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18138With loss 0.1267430099331721 epoch: 18139 Epoch 18139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18139With loss 0.1267430099331721 epoch: 18140 Epoch 18140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18140With loss 0.1267430099331721 epoch: 18141 Epoch 18141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18141With loss 0.1267430099331721 epoch: 18142 Epoch 18142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18142With loss 0.1267430099331721 epoch: 18143 Epoch 18143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18143With loss 0.1267430099331721 epoch: 18144 Epoch 18144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18144With loss 0.1267430099331721 epoch: 18145 Epoch 18145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18145With loss 0.1267430099331721 epoch: 18146 Epoch 18146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18146With loss 0.1267430099331721 epoch: 18147 Epoch 18147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18147With loss 0.1267430099331721 epoch: 18148 Epoch 18148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18148With loss 0.1267430099331721 epoch: 18149 Epoch 18149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18149With loss 0.1267430099331721 epoch: 18150 Epoch 18150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18150With loss 0.1267430099331721 epoch: 18151 Epoch 18151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18151With loss 0.1267430099331721 epoch: 18152 Epoch 18152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18152With loss 0.1267430099331721 epoch: 18153 Epoch 18153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18153With loss 0.1267430099331721 epoch: 18154 Epoch 18154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18154With loss 0.1267430099331721 epoch: 18155 Epoch 18155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18155With loss 0.1267430099331721 epoch: 18156 Epoch 18156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18156With loss 0.1267430099331721 epoch: 18157 Epoch 18157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18157With loss 0.1267430099331721 epoch: 18158 Epoch 18158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18158With loss 0.1267430099331721 epoch: 18159 Epoch 18159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18159With loss 0.1267430099331721 epoch: 18160 Epoch 18160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18160With loss 0.1267430099331721 epoch: 18161 Epoch 18161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18161With loss 0.1267430099331721 epoch: 18162 Epoch 18162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18162With loss 0.1267430099331721 epoch: 18163 Epoch 18163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18163With loss 0.1267430099331721 epoch: 18164 Epoch 18164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18164With loss 0.1267430099331721 epoch: 18165 Epoch 18165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18165With loss 0.1267430099331721 epoch: 18166 Epoch 18166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18166With loss 0.1267430099331721 epoch: 18167 Epoch 18167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18167With loss 0.1267430099331721 epoch: 18168 Epoch 18168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18168With loss 0.1267430099331721 epoch: 18169 Epoch 18169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18169With loss 0.1267430099331721 epoch: 18170 Epoch 18170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18170With loss 0.1267430099331721 epoch: 18171 Epoch 18171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18171With loss 0.1267430099331721 epoch: 18172 Epoch 18172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18172With loss 0.1267430099331721 epoch: 18173 Epoch 18173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18173With loss 0.1267430099331721 epoch: 18174 Epoch 18174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18174With loss 0.1267430099331721 epoch: 18175 Epoch 18175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18175With loss 0.1267430099331721 epoch: 18176 Epoch 18176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18176With loss 0.1267430099331721 epoch: 18177 Epoch 18177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18177With loss 0.1267430099331721 epoch: 18178 Epoch 18178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18178With loss 0.1267430099331721 epoch: 18179 Epoch 18179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18179With loss 0.1267430099331721 epoch: 18180 Epoch 18180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18180With loss 0.1267430099331721 epoch: 18181 Epoch 18181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18181With loss 0.1267430099331721 epoch: 18182 Epoch 18182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18182With loss 0.1267430099331721 epoch: 18183 Epoch 18183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18183With loss 0.1267430099331721 epoch: 18184 Epoch 18184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18184With loss 0.1267430099331721 epoch: 18185 Epoch 18185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18185With loss 0.1267430099331721 epoch: 18186 Epoch 18186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18186With loss 0.1267430099331721 epoch: 18187 Epoch 18187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18187With loss 0.1267430099331721 epoch: 18188 Epoch 18188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18188With loss 0.1267430099331721 epoch: 18189 Epoch 18189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18189With loss 0.1267430099331721 epoch: 18190 Epoch 18190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18190With loss 0.1267430099331721 epoch: 18191 Epoch 18191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18191With loss 0.1267430099331721 epoch: 18192 Epoch 18192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18192With loss 0.1267430099331721 epoch: 18193 Epoch 18193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18193With loss 0.1267430099331721 epoch: 18194 Epoch 18194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18194With loss 0.1267430099331721 epoch: 18195 Epoch 18195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18195With loss 0.1267430099331721 epoch: 18196 Epoch 18196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18196With loss 0.1267430099331721 epoch: 18197 Epoch 18197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18197With loss 0.1267430099331721 epoch: 18198 Epoch 18198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18198With loss 0.1267430099331721 epoch: 18199 Epoch 18199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18199With loss 0.1267430099331721 epoch: 18200 Epoch 18200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18200With loss 0.1267430099331721 epoch: 18201 Epoch 18201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18201With loss 0.1267430099331721 epoch: 18202 Epoch 18202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18202With loss 0.1267430099331721 epoch: 18203 Epoch 18203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18203With loss 0.1267430099331721 epoch: 18204 Epoch 18204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18204With loss 0.1267430099331721 epoch: 18205 Epoch 18205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18205With loss 0.1267430099331721 epoch: 18206 Epoch 18206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18206With loss 0.1267430099331721 epoch: 18207 Epoch 18207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18207With loss 0.1267430099331721 epoch: 18208 Epoch 18208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18208With loss 0.1267430099331721 epoch: 18209 Epoch 18209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18209With loss 0.1267430099331721 epoch: 18210 Epoch 18210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18210With loss 0.1267430099331721 epoch: 18211 Epoch 18211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18211With loss 0.1267430099331721 epoch: 18212 Epoch 18212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18212With loss 0.1267430099331721 epoch: 18213 Epoch 18213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18213With loss 0.1267430099331721 epoch: 18214 Epoch 18214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18214With loss 0.1267430099331721 epoch: 18215 Epoch 18215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18215With loss 0.1267430099331721 epoch: 18216 Epoch 18216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18216With loss 0.1267430099331721 epoch: 18217 Epoch 18217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18217With loss 0.1267430099331721 epoch: 18218 Epoch 18218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18218With loss 0.1267430099331721 epoch: 18219 Epoch 18219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18219With loss 0.1267430099331721 epoch: 18220 Epoch 18220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18220With loss 0.1267430099331721 epoch: 18221 Epoch 18221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18221With loss 0.1267430099331721 epoch: 18222 Epoch 18222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18222With loss 0.1267430099331721 epoch: 18223 Epoch 18223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18223With loss 0.1267430099331721 epoch: 18224 Epoch 18224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18224With loss 0.1267430099331721 epoch: 18225 Epoch 18225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18225With loss 0.1267430099331721 epoch: 18226 Epoch 18226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18226With loss 0.1267430099331721 epoch: 18227 Epoch 18227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18227With loss 0.1267430099331721 epoch: 18228 Epoch 18228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18228With loss 0.1267430099331721 epoch: 18229 Epoch 18229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18229With loss 0.1267430099331721 epoch: 18230 Epoch 18230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18230With loss 0.1267430099331721 epoch: 18231 Epoch 18231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18231With loss 0.1267430099331721 epoch: 18232 Epoch 18232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18232With loss 0.1267430099331721 epoch: 18233 Epoch 18233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18233With loss 0.1267430099331721 epoch: 18234 Epoch 18234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18234With loss 0.1267430099331721 epoch: 18235 Epoch 18235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18235With loss 0.1267430099331721 epoch: 18236 Epoch 18236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18236With loss 0.1267430099331721 epoch: 18237 Epoch 18237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18237With loss 0.1267430099331721 epoch: 18238 Epoch 18238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18238With loss 0.1267430099331721 epoch: 18239 Epoch 18239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18239With loss 0.1267430099331721 epoch: 18240 Epoch 18240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18240With loss 0.1267430099331721 epoch: 18241 Epoch 18241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18241With loss 0.1267430099331721 epoch: 18242 Epoch 18242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18242With loss 0.1267430099331721 epoch: 18243 Epoch 18243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18243With loss 0.1267430099331721 epoch: 18244 Epoch 18244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18244With loss 0.1267430099331721 epoch: 18245 Epoch 18245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18245With loss 0.1267430099331721 epoch: 18246 Epoch 18246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18246With loss 0.1267430099331721 epoch: 18247 Epoch 18247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18247With loss 0.1267430099331721 epoch: 18248 Epoch 18248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18248With loss 0.1267430099331721 epoch: 18249 Epoch 18249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18249With loss 0.1267430099331721 epoch: 18250 Epoch 18250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18250With loss 0.1267430099331721 epoch: 18251 Epoch 18251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18251With loss 0.1267430099331721 epoch: 18252 Epoch 18252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18252With loss 0.1267430099331721 epoch: 18253 Epoch 18253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18253With loss 0.1267430099331721 epoch: 18254 Epoch 18254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18254With loss 0.1267430099331721 epoch: 18255 Epoch 18255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18255With loss 0.1267430099331721 epoch: 18256 Epoch 18256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18256With loss 0.1267430099331721 epoch: 18257 Epoch 18257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18257With loss 0.1267430099331721 epoch: 18258 Epoch 18258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18258With loss 0.1267430099331721 epoch: 18259 Epoch 18259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18259With loss 0.1267430099331721 epoch: 18260 Epoch 18260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18260With loss 0.1267430099331721 epoch: 18261 Epoch 18261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18261With loss 0.1267430099331721 epoch: 18262 Epoch 18262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18262With loss 0.1267430099331721 epoch: 18263 Epoch 18263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18263With loss 0.1267430099331721 epoch: 18264 Epoch 18264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18264With loss 0.1267430099331721 epoch: 18265 Epoch 18265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18265With loss 0.1267430099331721 epoch: 18266 Epoch 18266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18266With loss 0.1267430099331721 epoch: 18267 Epoch 18267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18267With loss 0.1267430099331721 epoch: 18268 Epoch 18268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18268With loss 0.1267430099331721 epoch: 18269 Epoch 18269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18269With loss 0.1267430099331721 epoch: 18270 Epoch 18270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18270With loss 0.1267430099331721 epoch: 18271 Epoch 18271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18271With loss 0.1267430099331721 epoch: 18272 Epoch 18272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18272With loss 0.1267430099331721 epoch: 18273 Epoch 18273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18273With loss 0.1267430099331721 epoch: 18274 Epoch 18274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18274With loss 0.1267430099331721 epoch: 18275 Epoch 18275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18275With loss 0.1267430099331721 epoch: 18276 Epoch 18276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18276With loss 0.1267430099331721 epoch: 18277 Epoch 18277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18277With loss 0.1267430099331721 epoch: 18278 Epoch 18278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18278With loss 0.1267430099331721 epoch: 18279 Epoch 18279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18279With loss 0.1267430099331721 epoch: 18280 Epoch 18280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18280With loss 0.1267430099331721 epoch: 18281 Epoch 18281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18281With loss 0.1267430099331721 epoch: 18282 Epoch 18282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18282With loss 0.1267430099331721 epoch: 18283 Epoch 18283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18283With loss 0.1267430099331721 epoch: 18284 Epoch 18284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18284With loss 0.1267430099331721 epoch: 18285 Epoch 18285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18285With loss 0.1267430099331721 epoch: 18286 Epoch 18286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18286With loss 0.1267430099331721 epoch: 18287 Epoch 18287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18287With loss 0.1267430099331721 epoch: 18288 Epoch 18288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18288With loss 0.1267430099331721 epoch: 18289 Epoch 18289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18289With loss 0.1267430099331721 epoch: 18290 Epoch 18290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18290With loss 0.1267430099331721 epoch: 18291 Epoch 18291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18291With loss 0.1267430099331721 epoch: 18292 Epoch 18292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18292With loss 0.1267430099331721 epoch: 18293 Epoch 18293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18293With loss 0.1267430099331721 epoch: 18294 Epoch 18294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18294With loss 0.1267430099331721 epoch: 18295 Epoch 18295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18295With loss 0.1267430099331721 epoch: 18296 Epoch 18296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18296With loss 0.1267430099331721 epoch: 18297 Epoch 18297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18297With loss 0.1267430099331721 epoch: 18298 Epoch 18298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18298With loss 0.1267430099331721 epoch: 18299 Epoch 18299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18299With loss 0.1267430099331721 epoch: 18300 Epoch 18300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18300With loss 0.1267430099331721 epoch: 18301 Epoch 18301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18301With loss 0.1267430099331721 epoch: 18302 Epoch 18302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18302With loss 0.1267430099331721 epoch: 18303 Epoch 18303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18303With loss 0.1267430099331721 epoch: 18304 Epoch 18304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18304With loss 0.1267430099331721 epoch: 18305 Epoch 18305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18305With loss 0.1267430099331721 epoch: 18306 Epoch 18306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18306With loss 0.1267430099331721 epoch: 18307 Epoch 18307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18307With loss 0.1267430099331721 epoch: 18308 Epoch 18308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18308With loss 0.1267430099331721 epoch: 18309 Epoch 18309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18309With loss 0.1267430099331721 epoch: 18310 Epoch 18310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18310With loss 0.1267430099331721 epoch: 18311 Epoch 18311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18311With loss 0.1267430099331721 epoch: 18312 Epoch 18312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18312With loss 0.1267430099331721 epoch: 18313 Epoch 18313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18313With loss 0.1267430099331721 epoch: 18314 Epoch 18314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18314With loss 0.1267430099331721 epoch: 18315 Epoch 18315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18315With loss 0.1267430099331721 epoch: 18316 Epoch 18316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18316With loss 0.1267430099331721 epoch: 18317 Epoch 18317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18317With loss 0.1267430099331721 epoch: 18318 Epoch 18318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18318With loss 0.1267430099331721 epoch: 18319 Epoch 18319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18319With loss 0.1267430099331721 epoch: 18320 Epoch 18320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18320With loss 0.1267430099331721 epoch: 18321 Epoch 18321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18321With loss 0.1267430099331721 epoch: 18322 Epoch 18322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18322With loss 0.1267430099331721 epoch: 18323 Epoch 18323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18323With loss 0.1267430099331721 epoch: 18324 Epoch 18324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18324With loss 0.1267430099331721 epoch: 18325 Epoch 18325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18325With loss 0.1267430099331721 epoch: 18326 Epoch 18326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18326With loss 0.1267430099331721 epoch: 18327 Epoch 18327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18327With loss 0.1267430099331721 epoch: 18328 Epoch 18328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18328With loss 0.1267430099331721 epoch: 18329 Epoch 18329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18329With loss 0.1267430099331721 epoch: 18330 Epoch 18330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18330With loss 0.1267430099331721 epoch: 18331 Epoch 18331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18331With loss 0.1267430099331721 epoch: 18332 Epoch 18332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18332With loss 0.1267430099331721 epoch: 18333 Epoch 18333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18333With loss 0.1267430099331721 epoch: 18334 Epoch 18334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18334With loss 0.1267430099331721 epoch: 18335 Epoch 18335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18335With loss 0.1267430099331721 epoch: 18336 Epoch 18336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18336With loss 0.1267430099331721 epoch: 18337 Epoch 18337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18337With loss 0.1267430099331721 epoch: 18338 Epoch 18338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18338With loss 0.1267430099331721 epoch: 18339 Epoch 18339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18339With loss 0.1267430099331721 epoch: 18340 Epoch 18340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18340With loss 0.1267430099331721 epoch: 18341 Epoch 18341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18341With loss 0.1267430099331721 epoch: 18342 Epoch 18342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18342With loss 0.1267430099331721 epoch: 18343 Epoch 18343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18343With loss 0.1267430099331721 epoch: 18344 Epoch 18344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18344With loss 0.1267430099331721 epoch: 18345 Epoch 18345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18345With loss 0.1267430099331721 epoch: 18346 Epoch 18346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18346With loss 0.1267430099331721 epoch: 18347 Epoch 18347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18347With loss 0.1267430099331721 epoch: 18348 Epoch 18348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18348With loss 0.1267430099331721 epoch: 18349 Epoch 18349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18349With loss 0.1267430099331721 epoch: 18350 Epoch 18350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18350With loss 0.1267430099331721 epoch: 18351 Epoch 18351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18351With loss 0.1267430099331721 epoch: 18352 Epoch 18352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18352With loss 0.1267430099331721 epoch: 18353 Epoch 18353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18353With loss 0.1267430099331721 epoch: 18354 Epoch 18354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18354With loss 0.1267430099331721 epoch: 18355 Epoch 18355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18355With loss 0.1267430099331721 epoch: 18356 Epoch 18356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18356With loss 0.1267430099331721 epoch: 18357 Epoch 18357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18357With loss 0.1267430099331721 epoch: 18358 Epoch 18358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18358With loss 0.1267430099331721 epoch: 18359 Epoch 18359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18359With loss 0.1267430099331721 epoch: 18360 Epoch 18360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18360With loss 0.1267430099331721 epoch: 18361 Epoch 18361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18361With loss 0.1267430099331721 epoch: 18362 Epoch 18362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18362With loss 0.1267430099331721 epoch: 18363 Epoch 18363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18363With loss 0.1267430099331721 epoch: 18364 Epoch 18364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18364With loss 0.1267430099331721 epoch: 18365 Epoch 18365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18365With loss 0.1267430099331721 epoch: 18366 Epoch 18366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18366With loss 0.1267430099331721 epoch: 18367 Epoch 18367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18367With loss 0.1267430099331721 epoch: 18368 Epoch 18368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18368With loss 0.1267430099331721 epoch: 18369 Epoch 18369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18369With loss 0.1267430099331721 epoch: 18370 Epoch 18370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18370With loss 0.1267430099331721 epoch: 18371 Epoch 18371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18371With loss 0.1267430099331721 epoch: 18372 Epoch 18372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18372With loss 0.1267430099331721 epoch: 18373 Epoch 18373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18373With loss 0.1267430099331721 epoch: 18374 Epoch 18374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18374With loss 0.1267430099331721 epoch: 18375 Epoch 18375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18375With loss 0.1267430099331721 epoch: 18376 Epoch 18376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18376With loss 0.1267430099331721 epoch: 18377 Epoch 18377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18377With loss 0.1267430099331721 epoch: 18378 Epoch 18378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18378With loss 0.1267430099331721 epoch: 18379 Epoch 18379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18379With loss 0.1267430099331721 epoch: 18380 Epoch 18380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18380With loss 0.1267430099331721 epoch: 18381 Epoch 18381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18381With loss 0.1267430099331721 epoch: 18382 Epoch 18382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18382With loss 0.1267430099331721 epoch: 18383 Epoch 18383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18383With loss 0.1267430099331721 epoch: 18384 Epoch 18384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18384With loss 0.1267430099331721 epoch: 18385 Epoch 18385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18385With loss 0.1267430099331721 epoch: 18386 Epoch 18386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18386With loss 0.1267430099331721 epoch: 18387 Epoch 18387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18387With loss 0.1267430099331721 epoch: 18388 Epoch 18388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18388With loss 0.1267430099331721 epoch: 18389 Epoch 18389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18389With loss 0.1267430099331721 epoch: 18390 Epoch 18390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18390With loss 0.1267430099331721 epoch: 18391 Epoch 18391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18391With loss 0.1267430099331721 epoch: 18392 Epoch 18392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18392With loss 0.1267430099331721 epoch: 18393 Epoch 18393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18393With loss 0.1267430099331721 epoch: 18394 Epoch 18394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18394With loss 0.1267430099331721 epoch: 18395 Epoch 18395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18395With loss 0.1267430099331721 epoch: 18396 Epoch 18396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18396With loss 0.1267430099331721 epoch: 18397 Epoch 18397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18397With loss 0.1267430099331721 epoch: 18398 Epoch 18398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18398With loss 0.1267430099331721 epoch: 18399 Epoch 18399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18399With loss 0.1267430099331721 epoch: 18400 Epoch 18400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18400With loss 0.1267430099331721 epoch: 18401 Epoch 18401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18401With loss 0.1267430099331721 epoch: 18402 Epoch 18402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18402With loss 0.1267430099331721 epoch: 18403 Epoch 18403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18403With loss 0.1267430099331721 epoch: 18404 Epoch 18404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18404With loss 0.1267430099331721 epoch: 18405 Epoch 18405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18405With loss 0.1267430099331721 epoch: 18406 Epoch 18406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18406With loss 0.1267430099331721 epoch: 18407 Epoch 18407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18407With loss 0.1267430099331721 epoch: 18408 Epoch 18408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18408With loss 0.1267430099331721 epoch: 18409 Epoch 18409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18409With loss 0.1267430099331721 epoch: 18410 Epoch 18410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18410With loss 0.1267430099331721 epoch: 18411 Epoch 18411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18411With loss 0.1267430099331721 epoch: 18412 Epoch 18412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18412With loss 0.1267430099331721 epoch: 18413 Epoch 18413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18413With loss 0.1267430099331721 epoch: 18414 Epoch 18414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18414With loss 0.1267430099331721 epoch: 18415 Epoch 18415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18415With loss 0.1267430099331721 epoch: 18416 Epoch 18416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18416With loss 0.1267430099331721 epoch: 18417 Epoch 18417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18417With loss 0.1267430099331721 epoch: 18418 Epoch 18418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18418With loss 0.1267430099331721 epoch: 18419 Epoch 18419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18419With loss 0.1267430099331721 epoch: 18420 Epoch 18420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18420With loss 0.1267430099331721 epoch: 18421 Epoch 18421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18421With loss 0.1267430099331721 epoch: 18422 Epoch 18422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18422With loss 0.1267430099331721 epoch: 18423 Epoch 18423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18423With loss 0.1267430099331721 epoch: 18424 Epoch 18424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18424With loss 0.1267430099331721 epoch: 18425 Epoch 18425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18425With loss 0.1267430099331721 epoch: 18426 Epoch 18426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18426With loss 0.1267430099331721 epoch: 18427 Epoch 18427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18427With loss 0.1267430099331721 epoch: 18428 Epoch 18428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18428With loss 0.1267430099331721 epoch: 18429 Epoch 18429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18429With loss 0.1267430099331721 epoch: 18430 Epoch 18430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18430With loss 0.1267430099331721 epoch: 18431 Epoch 18431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18431With loss 0.1267430099331721 epoch: 18432 Epoch 18432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18432With loss 0.1267430099331721 epoch: 18433 Epoch 18433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18433With loss 0.1267430099331721 epoch: 18434 Epoch 18434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18434With loss 0.1267430099331721 epoch: 18435 Epoch 18435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18435With loss 0.1267430099331721 epoch: 18436 Epoch 18436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18436With loss 0.1267430099331721 epoch: 18437 Epoch 18437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18437With loss 0.1267430099331721 epoch: 18438 Epoch 18438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18438With loss 0.1267430099331721 epoch: 18439 Epoch 18439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18439With loss 0.1267430099331721 epoch: 18440 Epoch 18440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18440With loss 0.1267430099331721 epoch: 18441 Epoch 18441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18441With loss 0.1267430099331721 epoch: 18442 Epoch 18442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18442With loss 0.1267430099331721 epoch: 18443 Epoch 18443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18443With loss 0.1267430099331721 epoch: 18444 Epoch 18444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18444With loss 0.1267430099331721 epoch: 18445 Epoch 18445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18445With loss 0.1267430099331721 epoch: 18446 Epoch 18446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18446With loss 0.1267430099331721 epoch: 18447 Epoch 18447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18447With loss 0.1267430099331721 epoch: 18448 Epoch 18448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18448With loss 0.1267430099331721 epoch: 18449 Epoch 18449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18449With loss 0.1267430099331721 epoch: 18450 Epoch 18450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18450With loss 0.1267430099331721 epoch: 18451 Epoch 18451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18451With loss 0.1267430099331721 epoch: 18452 Epoch 18452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18452With loss 0.1267430099331721 epoch: 18453 Epoch 18453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18453With loss 0.1267430099331721 epoch: 18454 Epoch 18454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18454With loss 0.1267430099331721 epoch: 18455 Epoch 18455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18455With loss 0.1267430099331721 epoch: 18456 Epoch 18456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18456With loss 0.1267430099331721 epoch: 18457 Epoch 18457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18457With loss 0.1267430099331721 epoch: 18458 Epoch 18458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18458With loss 0.1267430099331721 epoch: 18459 Epoch 18459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18459With loss 0.1267430099331721 epoch: 18460 Epoch 18460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18460With loss 0.1267430099331721 epoch: 18461 Epoch 18461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18461With loss 0.1267430099331721 epoch: 18462 Epoch 18462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18462With loss 0.1267430099331721 epoch: 18463 Epoch 18463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18463With loss 0.1267430099331721 epoch: 18464 Epoch 18464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18464With loss 0.1267430099331721 epoch: 18465 Epoch 18465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18465With loss 0.1267430099331721 epoch: 18466 Epoch 18466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18466With loss 0.1267430099331721 epoch: 18467 Epoch 18467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18467With loss 0.1267430099331721 epoch: 18468 Epoch 18468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18468With loss 0.1267430099331721 epoch: 18469 Epoch 18469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18469With loss 0.1267430099331721 epoch: 18470 Epoch 18470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18470With loss 0.1267430099331721 epoch: 18471 Epoch 18471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18471With loss 0.1267430099331721 epoch: 18472 Epoch 18472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18472With loss 0.1267430099331721 epoch: 18473 Epoch 18473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18473With loss 0.1267430099331721 epoch: 18474 Epoch 18474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18474With loss 0.1267430099331721 epoch: 18475 Epoch 18475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18475With loss 0.1267430099331721 epoch: 18476 Epoch 18476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18476With loss 0.1267430099331721 epoch: 18477 Epoch 18477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18477With loss 0.1267430099331721 epoch: 18478 Epoch 18478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18478With loss 0.1267430099331721 epoch: 18479 Epoch 18479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18479With loss 0.1267430099331721 epoch: 18480 Epoch 18480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18480With loss 0.1267430099331721 epoch: 18481 Epoch 18481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18481With loss 0.1267430099331721 epoch: 18482 Epoch 18482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18482With loss 0.1267430099331721 epoch: 18483 Epoch 18483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18483With loss 0.1267430099331721 epoch: 18484 Epoch 18484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18484With loss 0.1267430099331721 epoch: 18485 Epoch 18485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18485With loss 0.1267430099331721 epoch: 18486 Epoch 18486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18486With loss 0.1267430099331721 epoch: 18487 Epoch 18487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18487With loss 0.1267430099331721 epoch: 18488 Epoch 18488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18488With loss 0.1267430099331721 epoch: 18489 Epoch 18489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18489With loss 0.1267430099331721 epoch: 18490 Epoch 18490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18490With loss 0.1267430099331721 epoch: 18491 Epoch 18491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18491With loss 0.1267430099331721 epoch: 18492 Epoch 18492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18492With loss 0.1267430099331721 epoch: 18493 Epoch 18493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18493With loss 0.1267430099331721 epoch: 18494 Epoch 18494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18494With loss 0.1267430099331721 epoch: 18495 Epoch 18495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18495With loss 0.1267430099331721 epoch: 18496 Epoch 18496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18496With loss 0.1267430099331721 epoch: 18497 Epoch 18497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18497With loss 0.1267430099331721 epoch: 18498 Epoch 18498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18498With loss 0.1267430099331721 epoch: 18499 Epoch 18499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18499With loss 0.1267430099331721 epoch: 18500 Epoch 18500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18500With loss 0.1267430099331721 epoch: 18501 Epoch 18501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18501With loss 0.1267430099331721 epoch: 18502 Epoch 18502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18502With loss 0.1267430099331721 epoch: 18503 Epoch 18503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18503With loss 0.1267430099331721 epoch: 18504 Epoch 18504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18504With loss 0.1267430099331721 epoch: 18505 Epoch 18505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18505With loss 0.1267430099331721 epoch: 18506 Epoch 18506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18506With loss 0.1267430099331721 epoch: 18507 Epoch 18507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18507With loss 0.1267430099331721 epoch: 18508 Epoch 18508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18508With loss 0.1267430099331721 epoch: 18509 Epoch 18509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18509With loss 0.1267430099331721 epoch: 18510 Epoch 18510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18510With loss 0.1267430099331721 epoch: 18511 Epoch 18511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18511With loss 0.1267430099331721 epoch: 18512 Epoch 18512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18512With loss 0.1267430099331721 epoch: 18513 Epoch 18513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18513With loss 0.1267430099331721 epoch: 18514 Epoch 18514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18514With loss 0.1267430099331721 epoch: 18515 Epoch 18515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18515With loss 0.1267430099331721 epoch: 18516 Epoch 18516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18516With loss 0.1267430099331721 epoch: 18517 Epoch 18517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18517With loss 0.1267430099331721 epoch: 18518 Epoch 18518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18518With loss 0.1267430099331721 epoch: 18519 Epoch 18519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18519With loss 0.1267430099331721 epoch: 18520 Epoch 18520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18520With loss 0.1267430099331721 epoch: 18521 Epoch 18521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18521With loss 0.1267430099331721 epoch: 18522 Epoch 18522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18522With loss 0.1267430099331721 epoch: 18523 Epoch 18523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18523With loss 0.1267430099331721 epoch: 18524 Epoch 18524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18524With loss 0.1267430099331721 epoch: 18525 Epoch 18525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18525With loss 0.1267430099331721 epoch: 18526 Epoch 18526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18526With loss 0.1267430099331721 epoch: 18527 Epoch 18527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18527With loss 0.1267430099331721 epoch: 18528 Epoch 18528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18528With loss 0.1267430099331721 epoch: 18529 Epoch 18529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18529With loss 0.1267430099331721 epoch: 18530 Epoch 18530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18530With loss 0.1267430099331721 epoch: 18531 Epoch 18531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18531With loss 0.1267430099331721 epoch: 18532 Epoch 18532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18532With loss 0.1267430099331721 epoch: 18533 Epoch 18533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18533With loss 0.1267430099331721 epoch: 18534 Epoch 18534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18534With loss 0.1267430099331721 epoch: 18535 Epoch 18535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18535With loss 0.1267430099331721 epoch: 18536 Epoch 18536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18536With loss 0.1267430099331721 epoch: 18537 Epoch 18537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18537With loss 0.1267430099331721 epoch: 18538 Epoch 18538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18538With loss 0.1267430099331721 epoch: 18539 Epoch 18539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18539With loss 0.1267430099331721 epoch: 18540 Epoch 18540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18540With loss 0.1267430099331721 epoch: 18541 Epoch 18541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18541With loss 0.1267430099331721 epoch: 18542 Epoch 18542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18542With loss 0.1267430099331721 epoch: 18543 Epoch 18543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18543With loss 0.1267430099331721 epoch: 18544 Epoch 18544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18544With loss 0.1267430099331721 epoch: 18545 Epoch 18545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18545With loss 0.1267430099331721 epoch: 18546 Epoch 18546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18546With loss 0.1267430099331721 epoch: 18547 Epoch 18547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18547With loss 0.1267430099331721 epoch: 18548 Epoch 18548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18548With loss 0.1267430099331721 epoch: 18549 Epoch 18549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18549With loss 0.1267430099331721 epoch: 18550 Epoch 18550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18550With loss 0.1267430099331721 epoch: 18551 Epoch 18551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18551With loss 0.1267430099331721 epoch: 18552 Epoch 18552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18552With loss 0.1267430099331721 epoch: 18553 Epoch 18553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18553With loss 0.1267430099331721 epoch: 18554 Epoch 18554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18554With loss 0.1267430099331721 epoch: 18555 Epoch 18555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18555With loss 0.1267430099331721 epoch: 18556 Epoch 18556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18556With loss 0.1267430099331721 epoch: 18557 Epoch 18557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18557With loss 0.1267430099331721 epoch: 18558 Epoch 18558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18558With loss 0.1267430099331721 epoch: 18559 Epoch 18559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18559With loss 0.1267430099331721 epoch: 18560 Epoch 18560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18560With loss 0.1267430099331721 epoch: 18561 Epoch 18561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18561With loss 0.1267430099331721 epoch: 18562 Epoch 18562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18562With loss 0.1267430099331721 epoch: 18563 Epoch 18563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18563With loss 0.1267430099331721 epoch: 18564 Epoch 18564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18564With loss 0.1267430099331721 epoch: 18565 Epoch 18565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18565With loss 0.1267430099331721 epoch: 18566 Epoch 18566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18566With loss 0.1267430099331721 epoch: 18567 Epoch 18567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18567With loss 0.1267430099331721 epoch: 18568 Epoch 18568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18568With loss 0.1267430099331721 epoch: 18569 Epoch 18569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18569With loss 0.1267430099331721 epoch: 18570 Epoch 18570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18570With loss 0.1267430099331721 epoch: 18571 Epoch 18571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18571With loss 0.1267430099331721 epoch: 18572 Epoch 18572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18572With loss 0.1267430099331721 epoch: 18573 Epoch 18573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18573With loss 0.1267430099331721 epoch: 18574 Epoch 18574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18574With loss 0.1267430099331721 epoch: 18575 Epoch 18575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18575With loss 0.1267430099331721 epoch: 18576 Epoch 18576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18576With loss 0.1267430099331721 epoch: 18577 Epoch 18577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18577With loss 0.1267430099331721 epoch: 18578 Epoch 18578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18578With loss 0.1267430099331721 epoch: 18579 Epoch 18579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18579With loss 0.1267430099331721 epoch: 18580 Epoch 18580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18580With loss 0.1267430099331721 epoch: 18581 Epoch 18581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18581With loss 0.1267430099331721 epoch: 18582 Epoch 18582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18582With loss 0.1267430099331721 epoch: 18583 Epoch 18583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18583With loss 0.1267430099331721 epoch: 18584 Epoch 18584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18584With loss 0.1267430099331721 epoch: 18585 Epoch 18585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18585With loss 0.1267430099331721 epoch: 18586 Epoch 18586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18586With loss 0.1267430099331721 epoch: 18587 Epoch 18587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18587With loss 0.1267430099331721 epoch: 18588 Epoch 18588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18588With loss 0.1267430099331721 epoch: 18589 Epoch 18589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18589With loss 0.1267430099331721 epoch: 18590 Epoch 18590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18590With loss 0.1267430099331721 epoch: 18591 Epoch 18591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18591With loss 0.1267430099331721 epoch: 18592 Epoch 18592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18592With loss 0.1267430099331721 epoch: 18593 Epoch 18593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18593With loss 0.1267430099331721 epoch: 18594 Epoch 18594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18594With loss 0.1267430099331721 epoch: 18595 Epoch 18595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18595With loss 0.1267430099331721 epoch: 18596 Epoch 18596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18596With loss 0.1267430099331721 epoch: 18597 Epoch 18597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18597With loss 0.1267430099331721 epoch: 18598 Epoch 18598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18598With loss 0.1267430099331721 epoch: 18599 Epoch 18599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18599With loss 0.1267430099331721 epoch: 18600 Epoch 18600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18600With loss 0.1267430099331721 epoch: 18601 Epoch 18601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18601With loss 0.1267430099331721 epoch: 18602 Epoch 18602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18602With loss 0.1267430099331721 epoch: 18603 Epoch 18603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18603With loss 0.1267430099331721 epoch: 18604 Epoch 18604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18604With loss 0.1267430099331721 epoch: 18605 Epoch 18605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18605With loss 0.1267430099331721 epoch: 18606 Epoch 18606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18606With loss 0.1267430099331721 epoch: 18607 Epoch 18607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18607With loss 0.1267430099331721 epoch: 18608 Epoch 18608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18608With loss 0.1267430099331721 epoch: 18609 Epoch 18609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18609With loss 0.1267430099331721 epoch: 18610 Epoch 18610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18610With loss 0.1267430099331721 epoch: 18611 Epoch 18611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18611With loss 0.1267430099331721 epoch: 18612 Epoch 18612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18612With loss 0.1267430099331721 epoch: 18613 Epoch 18613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18613With loss 0.1267430099331721 epoch: 18614 Epoch 18614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18614With loss 0.1267430099331721 epoch: 18615 Epoch 18615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18615With loss 0.1267430099331721 epoch: 18616 Epoch 18616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18616With loss 0.1267430099331721 epoch: 18617 Epoch 18617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18617With loss 0.1267430099331721 epoch: 18618 Epoch 18618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18618With loss 0.1267430099331721 epoch: 18619 Epoch 18619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18619With loss 0.1267430099331721 epoch: 18620 Epoch 18620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18620With loss 0.1267430099331721 epoch: 18621 Epoch 18621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18621With loss 0.1267430099331721 epoch: 18622 Epoch 18622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18622With loss 0.1267430099331721 epoch: 18623 Epoch 18623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18623With loss 0.1267430099331721 epoch: 18624 Epoch 18624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18624With loss 0.1267430099331721 epoch: 18625 Epoch 18625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18625With loss 0.1267430099331721 epoch: 18626 Epoch 18626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18626With loss 0.1267430099331721 epoch: 18627 Epoch 18627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18627With loss 0.1267430099331721 epoch: 18628 Epoch 18628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18628With loss 0.1267430099331721 epoch: 18629 Epoch 18629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18629With loss 0.1267430099331721 epoch: 18630 Epoch 18630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18630With loss 0.1267430099331721 epoch: 18631 Epoch 18631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18631With loss 0.1267430099331721 epoch: 18632 Epoch 18632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18632With loss 0.1267430099331721 epoch: 18633 Epoch 18633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18633With loss 0.1267430099331721 epoch: 18634 Epoch 18634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18634With loss 0.1267430099331721 epoch: 18635 Epoch 18635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18635With loss 0.1267430099331721 epoch: 18636 Epoch 18636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18636With loss 0.1267430099331721 epoch: 18637 Epoch 18637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18637With loss 0.1267430099331721 epoch: 18638 Epoch 18638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18638With loss 0.1267430099331721 epoch: 18639 Epoch 18639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18639With loss 0.1267430099331721 epoch: 18640 Epoch 18640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18640With loss 0.1267430099331721 epoch: 18641 Epoch 18641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18641With loss 0.1267430099331721 epoch: 18642 Epoch 18642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18642With loss 0.1267430099331721 epoch: 18643 Epoch 18643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18643With loss 0.1267430099331721 epoch: 18644 Epoch 18644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18644With loss 0.1267430099331721 epoch: 18645 Epoch 18645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18645With loss 0.1267430099331721 epoch: 18646 Epoch 18646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18646With loss 0.1267430099331721 epoch: 18647 Epoch 18647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18647With loss 0.1267430099331721 epoch: 18648 Epoch 18648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18648With loss 0.1267430099331721 epoch: 18649 Epoch 18649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18649With loss 0.1267430099331721 epoch: 18650 Epoch 18650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18650With loss 0.1267430099331721 epoch: 18651 Epoch 18651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18651With loss 0.1267430099331721 epoch: 18652 Epoch 18652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18652With loss 0.1267430099331721 epoch: 18653 Epoch 18653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18653With loss 0.1267430099331721 epoch: 18654 Epoch 18654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18654With loss 0.1267430099331721 epoch: 18655 Epoch 18655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18655With loss 0.1267430099331721 epoch: 18656 Epoch 18656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18656With loss 0.1267430099331721 epoch: 18657 Epoch 18657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18657With loss 0.1267430099331721 epoch: 18658 Epoch 18658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18658With loss 0.1267430099331721 epoch: 18659 Epoch 18659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18659With loss 0.1267430099331721 epoch: 18660 Epoch 18660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18660With loss 0.1267430099331721 epoch: 18661 Epoch 18661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18661With loss 0.1267430099331721 epoch: 18662 Epoch 18662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18662With loss 0.1267430099331721 epoch: 18663 Epoch 18663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18663With loss 0.1267430099331721 epoch: 18664 Epoch 18664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18664With loss 0.1267430099331721 epoch: 18665 Epoch 18665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18665With loss 0.1267430099331721 epoch: 18666 Epoch 18666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18666With loss 0.1267430099331721 epoch: 18667 Epoch 18667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18667With loss 0.1267430099331721 epoch: 18668 Epoch 18668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18668With loss 0.1267430099331721 epoch: 18669 Epoch 18669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18669With loss 0.1267430099331721 epoch: 18670 Epoch 18670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18670With loss 0.1267430099331721 epoch: 18671 Epoch 18671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18671With loss 0.1267430099331721 epoch: 18672 Epoch 18672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18672With loss 0.1267430099331721 epoch: 18673 Epoch 18673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18673With loss 0.1267430099331721 epoch: 18674 Epoch 18674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18674With loss 0.1267430099331721 epoch: 18675 Epoch 18675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18675With loss 0.1267430099331721 epoch: 18676 Epoch 18676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18676With loss 0.1267430099331721 epoch: 18677 Epoch 18677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18677With loss 0.1267430099331721 epoch: 18678 Epoch 18678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18678With loss 0.1267430099331721 epoch: 18679 Epoch 18679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18679With loss 0.1267430099331721 epoch: 18680 Epoch 18680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18680With loss 0.1267430099331721 epoch: 18681 Epoch 18681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18681With loss 0.1267430099331721 epoch: 18682 Epoch 18682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18682With loss 0.1267430099331721 epoch: 18683 Epoch 18683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18683With loss 0.1267430099331721 epoch: 18684 Epoch 18684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18684With loss 0.1267430099331721 epoch: 18685 Epoch 18685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18685With loss 0.1267430099331721 epoch: 18686 Epoch 18686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18686With loss 0.1267430099331721 epoch: 18687 Epoch 18687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18687With loss 0.1267430099331721 epoch: 18688 Epoch 18688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18688With loss 0.1267430099331721 epoch: 18689 Epoch 18689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18689With loss 0.1267430099331721 epoch: 18690 Epoch 18690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18690With loss 0.1267430099331721 epoch: 18691 Epoch 18691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18691With loss 0.1267430099331721 epoch: 18692 Epoch 18692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18692With loss 0.1267430099331721 epoch: 18693 Epoch 18693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18693With loss 0.1267430099331721 epoch: 18694 Epoch 18694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18694With loss 0.1267430099331721 epoch: 18695 Epoch 18695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18695With loss 0.1267430099331721 epoch: 18696 Epoch 18696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18696With loss 0.1267430099331721 epoch: 18697 Epoch 18697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18697With loss 0.1267430099331721 epoch: 18698 Epoch 18698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18698With loss 0.1267430099331721 epoch: 18699 Epoch 18699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18699With loss 0.1267430099331721 epoch: 18700 Epoch 18700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18700With loss 0.1267430099331721 epoch: 18701 Epoch 18701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18701With loss 0.1267430099331721 epoch: 18702 Epoch 18702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18702With loss 0.1267430099331721 epoch: 18703 Epoch 18703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18703With loss 0.1267430099331721 epoch: 18704 Epoch 18704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18704With loss 0.1267430099331721 epoch: 18705 Epoch 18705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18705With loss 0.1267430099331721 epoch: 18706 Epoch 18706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18706With loss 0.1267430099331721 epoch: 18707 Epoch 18707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18707With loss 0.1267430099331721 epoch: 18708 Epoch 18708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18708With loss 0.1267430099331721 epoch: 18709 Epoch 18709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18709With loss 0.1267430099331721 epoch: 18710 Epoch 18710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18710With loss 0.1267430099331721 epoch: 18711 Epoch 18711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18711With loss 0.1267430099331721 epoch: 18712 Epoch 18712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18712With loss 0.1267430099331721 epoch: 18713 Epoch 18713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18713With loss 0.1267430099331721 epoch: 18714 Epoch 18714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18714With loss 0.1267430099331721 epoch: 18715 Epoch 18715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18715With loss 0.1267430099331721 epoch: 18716 Epoch 18716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18716With loss 0.1267430099331721 epoch: 18717 Epoch 18717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18717With loss 0.1267430099331721 epoch: 18718 Epoch 18718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18718With loss 0.1267430099331721 epoch: 18719 Epoch 18719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18719With loss 0.1267430099331721 epoch: 18720 Epoch 18720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18720With loss 0.1267430099331721 epoch: 18721 Epoch 18721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18721With loss 0.1267430099331721 epoch: 18722 Epoch 18722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18722With loss 0.1267430099331721 epoch: 18723 Epoch 18723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18723With loss 0.1267430099331721 epoch: 18724 Epoch 18724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18724With loss 0.1267430099331721 epoch: 18725 Epoch 18725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18725With loss 0.1267430099331721 epoch: 18726 Epoch 18726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18726With loss 0.1267430099331721 epoch: 18727 Epoch 18727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18727With loss 0.1267430099331721 epoch: 18728 Epoch 18728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18728With loss 0.1267430099331721 epoch: 18729 Epoch 18729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18729With loss 0.1267430099331721 epoch: 18730 Epoch 18730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18730With loss 0.1267430099331721 epoch: 18731 Epoch 18731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18731With loss 0.1267430099331721 epoch: 18732 Epoch 18732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18732With loss 0.1267430099331721 epoch: 18733 Epoch 18733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18733With loss 0.1267430099331721 epoch: 18734 Epoch 18734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18734With loss 0.1267430099331721 epoch: 18735 Epoch 18735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18735With loss 0.1267430099331721 epoch: 18736 Epoch 18736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18736With loss 0.1267430099331721 epoch: 18737 Epoch 18737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18737With loss 0.1267430099331721 epoch: 18738 Epoch 18738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18738With loss 0.1267430099331721 epoch: 18739 Epoch 18739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18739With loss 0.1267430099331721 epoch: 18740 Epoch 18740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18740With loss 0.1267430099331721 epoch: 18741 Epoch 18741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18741With loss 0.1267430099331721 epoch: 18742 Epoch 18742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18742With loss 0.1267430099331721 epoch: 18743 Epoch 18743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18743With loss 0.1267430099331721 epoch: 18744 Epoch 18744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18744With loss 0.1267430099331721 epoch: 18745 Epoch 18745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18745With loss 0.1267430099331721 epoch: 18746 Epoch 18746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18746With loss 0.1267430099331721 epoch: 18747 Epoch 18747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18747With loss 0.1267430099331721 epoch: 18748 Epoch 18748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18748With loss 0.1267430099331721 epoch: 18749 Epoch 18749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18749With loss 0.1267430099331721 epoch: 18750 Epoch 18750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18750With loss 0.1267430099331721 epoch: 18751 Epoch 18751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18751With loss 0.1267430099331721 epoch: 18752 Epoch 18752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18752With loss 0.1267430099331721 epoch: 18753 Epoch 18753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18753With loss 0.1267430099331721 epoch: 18754 Epoch 18754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18754With loss 0.1267430099331721 epoch: 18755 Epoch 18755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18755With loss 0.1267430099331721 epoch: 18756 Epoch 18756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18756With loss 0.1267430099331721 epoch: 18757 Epoch 18757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18757With loss 0.1267430099331721 epoch: 18758 Epoch 18758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18758With loss 0.1267430099331721 epoch: 18759 Epoch 18759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18759With loss 0.1267430099331721 epoch: 18760 Epoch 18760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18760With loss 0.1267430099331721 epoch: 18761 Epoch 18761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18761With loss 0.1267430099331721 epoch: 18762 Epoch 18762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18762With loss 0.1267430099331721 epoch: 18763 Epoch 18763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18763With loss 0.1267430099331721 epoch: 18764 Epoch 18764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18764With loss 0.1267430099331721 epoch: 18765 Epoch 18765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18765With loss 0.1267430099331721 epoch: 18766 Epoch 18766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18766With loss 0.1267430099331721 epoch: 18767 Epoch 18767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18767With loss 0.1267430099331721 epoch: 18768 Epoch 18768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18768With loss 0.1267430099331721 epoch: 18769 Epoch 18769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18769With loss 0.1267430099331721 epoch: 18770 Epoch 18770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18770With loss 0.1267430099331721 epoch: 18771 Epoch 18771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18771With loss 0.1267430099331721 epoch: 18772 Epoch 18772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18772With loss 0.1267430099331721 epoch: 18773 Epoch 18773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18773With loss 0.1267430099331721 epoch: 18774 Epoch 18774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18774With loss 0.1267430099331721 epoch: 18775 Epoch 18775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18775With loss 0.1267430099331721 epoch: 18776 Epoch 18776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18776With loss 0.1267430099331721 epoch: 18777 Epoch 18777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18777With loss 0.1267430099331721 epoch: 18778 Epoch 18778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18778With loss 0.1267430099331721 epoch: 18779 Epoch 18779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18779With loss 0.1267430099331721 epoch: 18780 Epoch 18780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18780With loss 0.1267430099331721 epoch: 18781 Epoch 18781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18781With loss 0.1267430099331721 epoch: 18782 Epoch 18782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18782With loss 0.1267430099331721 epoch: 18783 Epoch 18783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18783With loss 0.1267430099331721 epoch: 18784 Epoch 18784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18784With loss 0.1267430099331721 epoch: 18785 Epoch 18785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18785With loss 0.1267430099331721 epoch: 18786 Epoch 18786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18786With loss 0.1267430099331721 epoch: 18787 Epoch 18787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18787With loss 0.1267430099331721 epoch: 18788 Epoch 18788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18788With loss 0.1267430099331721 epoch: 18789 Epoch 18789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18789With loss 0.1267430099331721 epoch: 18790 Epoch 18790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18790With loss 0.1267430099331721 epoch: 18791 Epoch 18791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18791With loss 0.1267430099331721 epoch: 18792 Epoch 18792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18792With loss 0.1267430099331721 epoch: 18793 Epoch 18793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18793With loss 0.1267430099331721 epoch: 18794 Epoch 18794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18794With loss 0.1267430099331721 epoch: 18795 Epoch 18795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18795With loss 0.1267430099331721 epoch: 18796 Epoch 18796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18796With loss 0.1267430099331721 epoch: 18797 Epoch 18797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18797With loss 0.1267430099331721 epoch: 18798 Epoch 18798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18798With loss 0.1267430099331721 epoch: 18799 Epoch 18799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18799With loss 0.1267430099331721 epoch: 18800 Epoch 18800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18800With loss 0.1267430099331721 epoch: 18801 Epoch 18801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18801With loss 0.1267430099331721 epoch: 18802 Epoch 18802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18802With loss 0.1267430099331721 epoch: 18803 Epoch 18803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18803With loss 0.1267430099331721 epoch: 18804 Epoch 18804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18804With loss 0.1267430099331721 epoch: 18805 Epoch 18805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18805With loss 0.1267430099331721 epoch: 18806 Epoch 18806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18806With loss 0.1267430099331721 epoch: 18807 Epoch 18807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18807With loss 0.1267430099331721 epoch: 18808 Epoch 18808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18808With loss 0.1267430099331721 epoch: 18809 Epoch 18809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18809With loss 0.1267430099331721 epoch: 18810 Epoch 18810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18810With loss 0.1267430099331721 epoch: 18811 Epoch 18811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18811With loss 0.1267430099331721 epoch: 18812 Epoch 18812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18812With loss 0.1267430099331721 epoch: 18813 Epoch 18813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18813With loss 0.1267430099331721 epoch: 18814 Epoch 18814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18814With loss 0.1267430099331721 epoch: 18815 Epoch 18815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18815With loss 0.1267430099331721 epoch: 18816 Epoch 18816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18816With loss 0.1267430099331721 epoch: 18817 Epoch 18817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18817With loss 0.1267430099331721 epoch: 18818 Epoch 18818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18818With loss 0.1267430099331721 epoch: 18819 Epoch 18819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18819With loss 0.1267430099331721 epoch: 18820 Epoch 18820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18820With loss 0.1267430099331721 epoch: 18821 Epoch 18821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18821With loss 0.1267430099331721 epoch: 18822 Epoch 18822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18822With loss 0.1267430099331721 epoch: 18823 Epoch 18823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18823With loss 0.1267430099331721 epoch: 18824 Epoch 18824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18824With loss 0.1267430099331721 epoch: 18825 Epoch 18825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18825With loss 0.1267430099331721 epoch: 18826 Epoch 18826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18826With loss 0.1267430099331721 epoch: 18827 Epoch 18827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18827With loss 0.1267430099331721 epoch: 18828 Epoch 18828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18828With loss 0.1267430099331721 epoch: 18829 Epoch 18829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18829With loss 0.1267430099331721 epoch: 18830 Epoch 18830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18830With loss 0.1267430099331721 epoch: 18831 Epoch 18831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18831With loss 0.1267430099331721 epoch: 18832 Epoch 18832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18832With loss 0.1267430099331721 epoch: 18833 Epoch 18833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18833With loss 0.1267430099331721 epoch: 18834 Epoch 18834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18834With loss 0.1267430099331721 epoch: 18835 Epoch 18835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18835With loss 0.1267430099331721 epoch: 18836 Epoch 18836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18836With loss 0.1267430099331721 epoch: 18837 Epoch 18837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18837With loss 0.1267430099331721 epoch: 18838 Epoch 18838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18838With loss 0.1267430099331721 epoch: 18839 Epoch 18839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18839With loss 0.1267430099331721 epoch: 18840 Epoch 18840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18840With loss 0.1267430099331721 epoch: 18841 Epoch 18841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18841With loss 0.1267430099331721 epoch: 18842 Epoch 18842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18842With loss 0.1267430099331721 epoch: 18843 Epoch 18843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18843With loss 0.1267430099331721 epoch: 18844 Epoch 18844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18844With loss 0.1267430099331721 epoch: 18845 Epoch 18845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18845With loss 0.1267430099331721 epoch: 18846 Epoch 18846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18846With loss 0.1267430099331721 epoch: 18847 Epoch 18847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18847With loss 0.1267430099331721 epoch: 18848 Epoch 18848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18848With loss 0.1267430099331721 epoch: 18849 Epoch 18849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18849With loss 0.1267430099331721 epoch: 18850 Epoch 18850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18850With loss 0.1267430099331721 epoch: 18851 Epoch 18851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18851With loss 0.1267430099331721 epoch: 18852 Epoch 18852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18852With loss 0.1267430099331721 epoch: 18853 Epoch 18853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18853With loss 0.1267430099331721 epoch: 18854 Epoch 18854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18854With loss 0.1267430099331721 epoch: 18855 Epoch 18855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18855With loss 0.1267430099331721 epoch: 18856 Epoch 18856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18856With loss 0.1267430099331721 epoch: 18857 Epoch 18857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18857With loss 0.1267430099331721 epoch: 18858 Epoch 18858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18858With loss 0.1267430099331721 epoch: 18859 Epoch 18859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18859With loss 0.1267430099331721 epoch: 18860 Epoch 18860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18860With loss 0.1267430099331721 epoch: 18861 Epoch 18861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18861With loss 0.1267430099331721 epoch: 18862 Epoch 18862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18862With loss 0.1267430099331721 epoch: 18863 Epoch 18863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18863With loss 0.1267430099331721 epoch: 18864 Epoch 18864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18864With loss 0.1267430099331721 epoch: 18865 Epoch 18865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18865With loss 0.1267430099331721 epoch: 18866 Epoch 18866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18866With loss 0.1267430099331721 epoch: 18867 Epoch 18867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18867With loss 0.1267430099331721 epoch: 18868 Epoch 18868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18868With loss 0.1267430099331721 epoch: 18869 Epoch 18869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18869With loss 0.1267430099331721 epoch: 18870 Epoch 18870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18870With loss 0.1267430099331721 epoch: 18871 Epoch 18871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18871With loss 0.1267430099331721 epoch: 18872 Epoch 18872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18872With loss 0.1267430099331721 epoch: 18873 Epoch 18873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18873With loss 0.1267430099331721 epoch: 18874 Epoch 18874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18874With loss 0.1267430099331721 epoch: 18875 Epoch 18875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18875With loss 0.1267430099331721 epoch: 18876 Epoch 18876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18876With loss 0.1267430099331721 epoch: 18877 Epoch 18877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18877With loss 0.1267430099331721 epoch: 18878 Epoch 18878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18878With loss 0.1267430099331721 epoch: 18879 Epoch 18879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18879With loss 0.1267430099331721 epoch: 18880 Epoch 18880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18880With loss 0.1267430099331721 epoch: 18881 Epoch 18881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18881With loss 0.1267430099331721 epoch: 18882 Epoch 18882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18882With loss 0.1267430099331721 epoch: 18883 Epoch 18883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18883With loss 0.1267430099331721 epoch: 18884 Epoch 18884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18884With loss 0.1267430099331721 epoch: 18885 Epoch 18885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18885With loss 0.1267430099331721 epoch: 18886 Epoch 18886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18886With loss 0.1267430099331721 epoch: 18887 Epoch 18887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18887With loss 0.1267430099331721 epoch: 18888 Epoch 18888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18888With loss 0.1267430099331721 epoch: 18889 Epoch 18889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18889With loss 0.1267430099331721 epoch: 18890 Epoch 18890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18890With loss 0.1267430099331721 epoch: 18891 Epoch 18891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18891With loss 0.1267430099331721 epoch: 18892 Epoch 18892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18892With loss 0.1267430099331721 epoch: 18893 Epoch 18893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18893With loss 0.1267430099331721 epoch: 18894 Epoch 18894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18894With loss 0.1267430099331721 epoch: 18895 Epoch 18895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18895With loss 0.1267430099331721 epoch: 18896 Epoch 18896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18896With loss 0.1267430099331721 epoch: 18897 Epoch 18897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18897With loss 0.1267430099331721 epoch: 18898 Epoch 18898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18898With loss 0.1267430099331721 epoch: 18899 Epoch 18899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18899With loss 0.1267430099331721 epoch: 18900 Epoch 18900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18900With loss 0.1267430099331721 epoch: 18901 Epoch 18901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18901With loss 0.1267430099331721 epoch: 18902 Epoch 18902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18902With loss 0.1267430099331721 epoch: 18903 Epoch 18903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18903With loss 0.1267430099331721 epoch: 18904 Epoch 18904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18904With loss 0.1267430099331721 epoch: 18905 Epoch 18905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18905With loss 0.1267430099331721 epoch: 18906 Epoch 18906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18906With loss 0.1267430099331721 epoch: 18907 Epoch 18907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18907With loss 0.1267430099331721 epoch: 18908 Epoch 18908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18908With loss 0.1267430099331721 epoch: 18909 Epoch 18909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18909With loss 0.1267430099331721 epoch: 18910 Epoch 18910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18910With loss 0.1267430099331721 epoch: 18911 Epoch 18911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18911With loss 0.1267430099331721 epoch: 18912 Epoch 18912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18912With loss 0.1267430099331721 epoch: 18913 Epoch 18913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18913With loss 0.1267430099331721 epoch: 18914 Epoch 18914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18914With loss 0.1267430099331721 epoch: 18915 Epoch 18915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18915With loss 0.1267430099331721 epoch: 18916 Epoch 18916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18916With loss 0.1267430099331721 epoch: 18917 Epoch 18917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18917With loss 0.1267430099331721 epoch: 18918 Epoch 18918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18918With loss 0.1267430099331721 epoch: 18919 Epoch 18919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18919With loss 0.1267430099331721 epoch: 18920 Epoch 18920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18920With loss 0.1267430099331721 epoch: 18921 Epoch 18921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18921With loss 0.1267430099331721 epoch: 18922 Epoch 18922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18922With loss 0.1267430099331721 epoch: 18923 Epoch 18923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18923With loss 0.1267430099331721 epoch: 18924 Epoch 18924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18924With loss 0.1267430099331721 epoch: 18925 Epoch 18925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18925With loss 0.1267430099331721 epoch: 18926 Epoch 18926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18926With loss 0.1267430099331721 epoch: 18927 Epoch 18927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18927With loss 0.1267430099331721 epoch: 18928 Epoch 18928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18928With loss 0.1267430099331721 epoch: 18929 Epoch 18929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18929With loss 0.1267430099331721 epoch: 18930 Epoch 18930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18930With loss 0.1267430099331721 epoch: 18931 Epoch 18931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18931With loss 0.1267430099331721 epoch: 18932 Epoch 18932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18932With loss 0.1267430099331721 epoch: 18933 Epoch 18933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18933With loss 0.1267430099331721 epoch: 18934 Epoch 18934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18934With loss 0.1267430099331721 epoch: 18935 Epoch 18935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18935With loss 0.1267430099331721 epoch: 18936 Epoch 18936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18936With loss 0.1267430099331721 epoch: 18937 Epoch 18937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18937With loss 0.1267430099331721 epoch: 18938 Epoch 18938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18938With loss 0.1267430099331721 epoch: 18939 Epoch 18939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18939With loss 0.1267430099331721 epoch: 18940 Epoch 18940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18940With loss 0.1267430099331721 epoch: 18941 Epoch 18941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18941With loss 0.1267430099331721 epoch: 18942 Epoch 18942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18942With loss 0.1267430099331721 epoch: 18943 Epoch 18943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18943With loss 0.1267430099331721 epoch: 18944 Epoch 18944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18944With loss 0.1267430099331721 epoch: 18945 Epoch 18945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18945With loss 0.1267430099331721 epoch: 18946 Epoch 18946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18946With loss 0.1267430099331721 epoch: 18947 Epoch 18947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18947With loss 0.1267430099331721 epoch: 18948 Epoch 18948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18948With loss 0.1267430099331721 epoch: 18949 Epoch 18949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18949With loss 0.1267430099331721 epoch: 18950 Epoch 18950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18950With loss 0.1267430099331721 epoch: 18951 Epoch 18951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18951With loss 0.1267430099331721 epoch: 18952 Epoch 18952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18952With loss 0.1267430099331721 epoch: 18953 Epoch 18953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18953With loss 0.1267430099331721 epoch: 18954 Epoch 18954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18954With loss 0.1267430099331721 epoch: 18955 Epoch 18955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18955With loss 0.1267430099331721 epoch: 18956 Epoch 18956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18956With loss 0.1267430099331721 epoch: 18957 Epoch 18957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18957With loss 0.1267430099331721 epoch: 18958 Epoch 18958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18958With loss 0.1267430099331721 epoch: 18959 Epoch 18959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18959With loss 0.1267430099331721 epoch: 18960 Epoch 18960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18960With loss 0.1267430099331721 epoch: 18961 Epoch 18961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18961With loss 0.1267430099331721 epoch: 18962 Epoch 18962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18962With loss 0.1267430099331721 epoch: 18963 Epoch 18963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18963With loss 0.1267430099331721 epoch: 18964 Epoch 18964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18964With loss 0.1267430099331721 epoch: 18965 Epoch 18965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18965With loss 0.1267430099331721 epoch: 18966 Epoch 18966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18966With loss 0.1267430099331721 epoch: 18967 Epoch 18967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18967With loss 0.1267430099331721 epoch: 18968 Epoch 18968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18968With loss 0.1267430099331721 epoch: 18969 Epoch 18969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18969With loss 0.1267430099331721 epoch: 18970 Epoch 18970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18970With loss 0.1267430099331721 epoch: 18971 Epoch 18971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18971With loss 0.1267430099331721 epoch: 18972 Epoch 18972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18972With loss 0.1267430099331721 epoch: 18973 Epoch 18973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18973With loss 0.1267430099331721 epoch: 18974 Epoch 18974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18974With loss 0.1267430099331721 epoch: 18975 Epoch 18975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18975With loss 0.1267430099331721 epoch: 18976 Epoch 18976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18976With loss 0.1267430099331721 epoch: 18977 Epoch 18977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18977With loss 0.1267430099331721 epoch: 18978 Epoch 18978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18978With loss 0.1267430099331721 epoch: 18979 Epoch 18979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18979With loss 0.1267430099331721 epoch: 18980 Epoch 18980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18980With loss 0.1267430099331721 epoch: 18981 Epoch 18981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18981With loss 0.1267430099331721 epoch: 18982 Epoch 18982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18982With loss 0.1267430099331721 epoch: 18983 Epoch 18983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18983With loss 0.1267430099331721 epoch: 18984 Epoch 18984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18984With loss 0.1267430099331721 epoch: 18985 Epoch 18985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18985With loss 0.1267430099331721 epoch: 18986 Epoch 18986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18986With loss 0.1267430099331721 epoch: 18987 Epoch 18987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18987With loss 0.1267430099331721 epoch: 18988 Epoch 18988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18988With loss 0.1267430099331721 epoch: 18989 Epoch 18989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18989With loss 0.1267430099331721 epoch: 18990 Epoch 18990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18990With loss 0.1267430099331721 epoch: 18991 Epoch 18991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18991With loss 0.1267430099331721 epoch: 18992 Epoch 18992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18992With loss 0.1267430099331721 epoch: 18993 Epoch 18993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18993With loss 0.1267430099331721 epoch: 18994 Epoch 18994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18994With loss 0.1267430099331721 epoch: 18995 Epoch 18995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18995With loss 0.1267430099331721 epoch: 18996 Epoch 18996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18996With loss 0.1267430099331721 epoch: 18997 Epoch 18997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18997With loss 0.1267430099331721 epoch: 18998 Epoch 18998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18998With loss 0.1267430099331721 epoch: 18999 Epoch 18999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 18999With loss 0.1267430099331721 epoch: 19000 Epoch 19000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19000With loss 0.1267430099331721 epoch: 19001 Epoch 19001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19001With loss 0.1267430099331721 epoch: 19002 Epoch 19002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19002With loss 0.1267430099331721 epoch: 19003 Epoch 19003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19003With loss 0.1267430099331721 epoch: 19004 Epoch 19004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19004With loss 0.1267430099331721 epoch: 19005 Epoch 19005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19005With loss 0.1267430099331721 epoch: 19006 Epoch 19006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19006With loss 0.1267430099331721 epoch: 19007 Epoch 19007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19007With loss 0.1267430099331721 epoch: 19008 Epoch 19008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19008With loss 0.1267430099331721 epoch: 19009 Epoch 19009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19009With loss 0.1267430099331721 epoch: 19010 Epoch 19010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19010With loss 0.1267430099331721 epoch: 19011 Epoch 19011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19011With loss 0.1267430099331721 epoch: 19012 Epoch 19012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19012With loss 0.1267430099331721 epoch: 19013 Epoch 19013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19013With loss 0.1267430099331721 epoch: 19014 Epoch 19014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19014With loss 0.1267430099331721 epoch: 19015 Epoch 19015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19015With loss 0.1267430099331721 epoch: 19016 Epoch 19016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19016With loss 0.1267430099331721 epoch: 19017 Epoch 19017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19017With loss 0.1267430099331721 epoch: 19018 Epoch 19018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19018With loss 0.1267430099331721 epoch: 19019 Epoch 19019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19019With loss 0.1267430099331721 epoch: 19020 Epoch 19020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19020With loss 0.1267430099331721 epoch: 19021 Epoch 19021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19021With loss 0.1267430099331721 epoch: 19022 Epoch 19022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19022With loss 0.1267430099331721 epoch: 19023 Epoch 19023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19023With loss 0.1267430099331721 epoch: 19024 Epoch 19024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19024With loss 0.1267430099331721 epoch: 19025 Epoch 19025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19025With loss 0.1267430099331721 epoch: 19026 Epoch 19026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19026With loss 0.1267430099331721 epoch: 19027 Epoch 19027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19027With loss 0.1267430099331721 epoch: 19028 Epoch 19028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19028With loss 0.1267430099331721 epoch: 19029 Epoch 19029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19029With loss 0.1267430099331721 epoch: 19030 Epoch 19030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19030With loss 0.1267430099331721 epoch: 19031 Epoch 19031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19031With loss 0.1267430099331721 epoch: 19032 Epoch 19032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19032With loss 0.1267430099331721 epoch: 19033 Epoch 19033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19033With loss 0.1267430099331721 epoch: 19034 Epoch 19034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19034With loss 0.1267430099331721 epoch: 19035 Epoch 19035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19035With loss 0.1267430099331721 epoch: 19036 Epoch 19036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19036With loss 0.1267430099331721 epoch: 19037 Epoch 19037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19037With loss 0.1267430099331721 epoch: 19038 Epoch 19038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19038With loss 0.1267430099331721 epoch: 19039 Epoch 19039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19039With loss 0.1267430099331721 epoch: 19040 Epoch 19040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19040With loss 0.1267430099331721 epoch: 19041 Epoch 19041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19041With loss 0.1267430099331721 epoch: 19042 Epoch 19042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19042With loss 0.1267430099331721 epoch: 19043 Epoch 19043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19043With loss 0.1267430099331721 epoch: 19044 Epoch 19044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19044With loss 0.1267430099331721 epoch: 19045 Epoch 19045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19045With loss 0.1267430099331721 epoch: 19046 Epoch 19046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19046With loss 0.1267430099331721 epoch: 19047 Epoch 19047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19047With loss 0.1267430099331721 epoch: 19048 Epoch 19048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19048With loss 0.1267430099331721 epoch: 19049 Epoch 19049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19049With loss 0.1267430099331721 epoch: 19050 Epoch 19050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19050With loss 0.1267430099331721 epoch: 19051 Epoch 19051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19051With loss 0.1267430099331721 epoch: 19052 Epoch 19052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19052With loss 0.1267430099331721 epoch: 19053 Epoch 19053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19053With loss 0.1267430099331721 epoch: 19054 Epoch 19054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19054With loss 0.1267430099331721 epoch: 19055 Epoch 19055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19055With loss 0.1267430099331721 epoch: 19056 Epoch 19056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19056With loss 0.1267430099331721 epoch: 19057 Epoch 19057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19057With loss 0.1267430099331721 epoch: 19058 Epoch 19058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19058With loss 0.1267430099331721 epoch: 19059 Epoch 19059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19059With loss 0.1267430099331721 epoch: 19060 Epoch 19060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19060With loss 0.1267430099331721 epoch: 19061 Epoch 19061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19061With loss 0.1267430099331721 epoch: 19062 Epoch 19062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19062With loss 0.1267430099331721 epoch: 19063 Epoch 19063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19063With loss 0.1267430099331721 epoch: 19064 Epoch 19064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19064With loss 0.1267430099331721 epoch: 19065 Epoch 19065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19065With loss 0.1267430099331721 epoch: 19066 Epoch 19066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19066With loss 0.1267430099331721 epoch: 19067 Epoch 19067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19067With loss 0.1267430099331721 epoch: 19068 Epoch 19068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19068With loss 0.1267430099331721 epoch: 19069 Epoch 19069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19069With loss 0.1267430099331721 epoch: 19070 Epoch 19070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19070With loss 0.1267430099331721 epoch: 19071 Epoch 19071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19071With loss 0.1267430099331721 epoch: 19072 Epoch 19072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19072With loss 0.1267430099331721 epoch: 19073 Epoch 19073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19073With loss 0.1267430099331721 epoch: 19074 Epoch 19074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19074With loss 0.1267430099331721 epoch: 19075 Epoch 19075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19075With loss 0.1267430099331721 epoch: 19076 Epoch 19076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19076With loss 0.1267430099331721 epoch: 19077 Epoch 19077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19077With loss 0.1267430099331721 epoch: 19078 Epoch 19078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19078With loss 0.1267430099331721 epoch: 19079 Epoch 19079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19079With loss 0.1267430099331721 epoch: 19080 Epoch 19080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19080With loss 0.1267430099331721 epoch: 19081 Epoch 19081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19081With loss 0.1267430099331721 epoch: 19082 Epoch 19082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19082With loss 0.1267430099331721 epoch: 19083 Epoch 19083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19083With loss 0.1267430099331721 epoch: 19084 Epoch 19084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19084With loss 0.1267430099331721 epoch: 19085 Epoch 19085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19085With loss 0.1267430099331721 epoch: 19086 Epoch 19086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19086With loss 0.1267430099331721 epoch: 19087 Epoch 19087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19087With loss 0.1267430099331721 epoch: 19088 Epoch 19088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19088With loss 0.1267430099331721 epoch: 19089 Epoch 19089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19089With loss 0.1267430099331721 epoch: 19090 Epoch 19090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19090With loss 0.1267430099331721 epoch: 19091 Epoch 19091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19091With loss 0.1267430099331721 epoch: 19092 Epoch 19092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19092With loss 0.1267430099331721 epoch: 19093 Epoch 19093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19093With loss 0.1267430099331721 epoch: 19094 Epoch 19094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19094With loss 0.1267430099331721 epoch: 19095 Epoch 19095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19095With loss 0.1267430099331721 epoch: 19096 Epoch 19096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19096With loss 0.1267430099331721 epoch: 19097 Epoch 19097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19097With loss 0.1267430099331721 epoch: 19098 Epoch 19098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19098With loss 0.1267430099331721 epoch: 19099 Epoch 19099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19099With loss 0.1267430099331721 epoch: 19100 Epoch 19100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19100With loss 0.1267430099331721 epoch: 19101 Epoch 19101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19101With loss 0.1267430099331721 epoch: 19102 Epoch 19102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19102With loss 0.1267430099331721 epoch: 19103 Epoch 19103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19103With loss 0.1267430099331721 epoch: 19104 Epoch 19104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19104With loss 0.1267430099331721 epoch: 19105 Epoch 19105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19105With loss 0.1267430099331721 epoch: 19106 Epoch 19106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19106With loss 0.1267430099331721 epoch: 19107 Epoch 19107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19107With loss 0.1267430099331721 epoch: 19108 Epoch 19108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19108With loss 0.1267430099331721 epoch: 19109 Epoch 19109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19109With loss 0.1267430099331721 epoch: 19110 Epoch 19110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19110With loss 0.1267430099331721 epoch: 19111 Epoch 19111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19111With loss 0.1267430099331721 epoch: 19112 Epoch 19112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19112With loss 0.1267430099331721 epoch: 19113 Epoch 19113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19113With loss 0.1267430099331721 epoch: 19114 Epoch 19114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19114With loss 0.1267430099331721 epoch: 19115 Epoch 19115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19115With loss 0.1267430099331721 epoch: 19116 Epoch 19116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19116With loss 0.1267430099331721 epoch: 19117 Epoch 19117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19117With loss 0.1267430099331721 epoch: 19118 Epoch 19118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19118With loss 0.1267430099331721 epoch: 19119 Epoch 19119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19119With loss 0.1267430099331721 epoch: 19120 Epoch 19120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19120With loss 0.1267430099331721 epoch: 19121 Epoch 19121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19121With loss 0.1267430099331721 epoch: 19122 Epoch 19122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19122With loss 0.1267430099331721 epoch: 19123 Epoch 19123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19123With loss 0.1267430099331721 epoch: 19124 Epoch 19124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19124With loss 0.1267430099331721 epoch: 19125 Epoch 19125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19125With loss 0.1267430099331721 epoch: 19126 Epoch 19126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19126With loss 0.1267430099331721 epoch: 19127 Epoch 19127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19127With loss 0.1267430099331721 epoch: 19128 Epoch 19128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19128With loss 0.1267430099331721 epoch: 19129 Epoch 19129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19129With loss 0.1267430099331721 epoch: 19130 Epoch 19130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19130With loss 0.1267430099331721 epoch: 19131 Epoch 19131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19131With loss 0.1267430099331721 epoch: 19132 Epoch 19132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19132With loss 0.1267430099331721 epoch: 19133 Epoch 19133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19133With loss 0.1267430099331721 epoch: 19134 Epoch 19134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19134With loss 0.1267430099331721 epoch: 19135 Epoch 19135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19135With loss 0.1267430099331721 epoch: 19136 Epoch 19136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19136With loss 0.1267430099331721 epoch: 19137 Epoch 19137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19137With loss 0.1267430099331721 epoch: 19138 Epoch 19138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19138With loss 0.1267430099331721 epoch: 19139 Epoch 19139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19139With loss 0.1267430099331721 epoch: 19140 Epoch 19140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19140With loss 0.1267430099331721 epoch: 19141 Epoch 19141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19141With loss 0.1267430099331721 epoch: 19142 Epoch 19142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19142With loss 0.1267430099331721 epoch: 19143 Epoch 19143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19143With loss 0.1267430099331721 epoch: 19144 Epoch 19144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19144With loss 0.1267430099331721 epoch: 19145 Epoch 19145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19145With loss 0.1267430099331721 epoch: 19146 Epoch 19146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19146With loss 0.1267430099331721 epoch: 19147 Epoch 19147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19147With loss 0.1267430099331721 epoch: 19148 Epoch 19148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19148With loss 0.1267430099331721 epoch: 19149 Epoch 19149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19149With loss 0.1267430099331721 epoch: 19150 Epoch 19150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19150With loss 0.1267430099331721 epoch: 19151 Epoch 19151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19151With loss 0.1267430099331721 epoch: 19152 Epoch 19152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19152With loss 0.1267430099331721 epoch: 19153 Epoch 19153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19153With loss 0.1267430099331721 epoch: 19154 Epoch 19154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19154With loss 0.1267430099331721 epoch: 19155 Epoch 19155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19155With loss 0.1267430099331721 epoch: 19156 Epoch 19156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19156With loss 0.1267430099331721 epoch: 19157 Epoch 19157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19157With loss 0.1267430099331721 epoch: 19158 Epoch 19158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19158With loss 0.1267430099331721 epoch: 19159 Epoch 19159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19159With loss 0.1267430099331721 epoch: 19160 Epoch 19160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19160With loss 0.1267430099331721 epoch: 19161 Epoch 19161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19161With loss 0.1267430099331721 epoch: 19162 Epoch 19162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19162With loss 0.1267430099331721 epoch: 19163 Epoch 19163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19163With loss 0.1267430099331721 epoch: 19164 Epoch 19164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19164With loss 0.1267430099331721 epoch: 19165 Epoch 19165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19165With loss 0.1267430099331721 epoch: 19166 Epoch 19166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19166With loss 0.1267430099331721 epoch: 19167 Epoch 19167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19167With loss 0.1267430099331721 epoch: 19168 Epoch 19168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19168With loss 0.1267430099331721 epoch: 19169 Epoch 19169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19169With loss 0.1267430099331721 epoch: 19170 Epoch 19170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19170With loss 0.1267430099331721 epoch: 19171 Epoch 19171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19171With loss 0.1267430099331721 epoch: 19172 Epoch 19172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19172With loss 0.1267430099331721 epoch: 19173 Epoch 19173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19173With loss 0.1267430099331721 epoch: 19174 Epoch 19174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19174With loss 0.1267430099331721 epoch: 19175 Epoch 19175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19175With loss 0.1267430099331721 epoch: 19176 Epoch 19176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19176With loss 0.1267430099331721 epoch: 19177 Epoch 19177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19177With loss 0.1267430099331721 epoch: 19178 Epoch 19178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19178With loss 0.1267430099331721 epoch: 19179 Epoch 19179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19179With loss 0.1267430099331721 epoch: 19180 Epoch 19180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19180With loss 0.1267430099331721 epoch: 19181 Epoch 19181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19181With loss 0.1267430099331721 epoch: 19182 Epoch 19182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19182With loss 0.1267430099331721 epoch: 19183 Epoch 19183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19183With loss 0.1267430099331721 epoch: 19184 Epoch 19184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19184With loss 0.1267430099331721 epoch: 19185 Epoch 19185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19185With loss 0.1267430099331721 epoch: 19186 Epoch 19186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19186With loss 0.1267430099331721 epoch: 19187 Epoch 19187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19187With loss 0.1267430099331721 epoch: 19188 Epoch 19188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19188With loss 0.1267430099331721 epoch: 19189 Epoch 19189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19189With loss 0.1267430099331721 epoch: 19190 Epoch 19190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19190With loss 0.1267430099331721 epoch: 19191 Epoch 19191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19191With loss 0.1267430099331721 epoch: 19192 Epoch 19192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19192With loss 0.1267430099331721 epoch: 19193 Epoch 19193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19193With loss 0.1267430099331721 epoch: 19194 Epoch 19194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19194With loss 0.1267430099331721 epoch: 19195 Epoch 19195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19195With loss 0.1267430099331721 epoch: 19196 Epoch 19196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19196With loss 0.1267430099331721 epoch: 19197 Epoch 19197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19197With loss 0.1267430099331721 epoch: 19198 Epoch 19198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19198With loss 0.1267430099331721 epoch: 19199 Epoch 19199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19199With loss 0.1267430099331721 epoch: 19200 Epoch 19200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19200With loss 0.1267430099331721 epoch: 19201 Epoch 19201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19201With loss 0.1267430099331721 epoch: 19202 Epoch 19202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19202With loss 0.1267430099331721 epoch: 19203 Epoch 19203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19203With loss 0.1267430099331721 epoch: 19204 Epoch 19204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19204With loss 0.1267430099331721 epoch: 19205 Epoch 19205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19205With loss 0.1267430099331721 epoch: 19206 Epoch 19206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19206With loss 0.1267430099331721 epoch: 19207 Epoch 19207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19207With loss 0.1267430099331721 epoch: 19208 Epoch 19208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19208With loss 0.1267430099331721 epoch: 19209 Epoch 19209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19209With loss 0.1267430099331721 epoch: 19210 Epoch 19210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19210With loss 0.1267430099331721 epoch: 19211 Epoch 19211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19211With loss 0.1267430099331721 epoch: 19212 Epoch 19212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19212With loss 0.1267430099331721 epoch: 19213 Epoch 19213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19213With loss 0.1267430099331721 epoch: 19214 Epoch 19214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19214With loss 0.1267430099331721 epoch: 19215 Epoch 19215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19215With loss 0.1267430099331721 epoch: 19216 Epoch 19216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19216With loss 0.1267430099331721 epoch: 19217 Epoch 19217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19217With loss 0.1267430099331721 epoch: 19218 Epoch 19218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19218With loss 0.1267430099331721 epoch: 19219 Epoch 19219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19219With loss 0.1267430099331721 epoch: 19220 Epoch 19220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19220With loss 0.1267430099331721 epoch: 19221 Epoch 19221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19221With loss 0.1267430099331721 epoch: 19222 Epoch 19222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19222With loss 0.1267430099331721 epoch: 19223 Epoch 19223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19223With loss 0.1267430099331721 epoch: 19224 Epoch 19224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19224With loss 0.1267430099331721 epoch: 19225 Epoch 19225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19225With loss 0.1267430099331721 epoch: 19226 Epoch 19226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19226With loss 0.1267430099331721 epoch: 19227 Epoch 19227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19227With loss 0.1267430099331721 epoch: 19228 Epoch 19228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19228With loss 0.1267430099331721 epoch: 19229 Epoch 19229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19229With loss 0.1267430099331721 epoch: 19230 Epoch 19230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19230With loss 0.1267430099331721 epoch: 19231 Epoch 19231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19231With loss 0.1267430099331721 epoch: 19232 Epoch 19232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19232With loss 0.1267430099331721 epoch: 19233 Epoch 19233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19233With loss 0.1267430099331721 epoch: 19234 Epoch 19234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19234With loss 0.1267430099331721 epoch: 19235 Epoch 19235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19235With loss 0.1267430099331721 epoch: 19236 Epoch 19236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19236With loss 0.1267430099331721 epoch: 19237 Epoch 19237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19237With loss 0.1267430099331721 epoch: 19238 Epoch 19238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19238With loss 0.1267430099331721 epoch: 19239 Epoch 19239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19239With loss 0.1267430099331721 epoch: 19240 Epoch 19240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19240With loss 0.1267430099331721 epoch: 19241 Epoch 19241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19241With loss 0.1267430099331721 epoch: 19242 Epoch 19242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19242With loss 0.1267430099331721 epoch: 19243 Epoch 19243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19243With loss 0.1267430099331721 epoch: 19244 Epoch 19244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19244With loss 0.1267430099331721 epoch: 19245 Epoch 19245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19245With loss 0.1267430099331721 epoch: 19246 Epoch 19246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19246With loss 0.1267430099331721 epoch: 19247 Epoch 19247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19247With loss 0.1267430099331721 epoch: 19248 Epoch 19248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19248With loss 0.1267430099331721 epoch: 19249 Epoch 19249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19249With loss 0.1267430099331721 epoch: 19250 Epoch 19250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19250With loss 0.1267430099331721 epoch: 19251 Epoch 19251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19251With loss 0.1267430099331721 epoch: 19252 Epoch 19252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19252With loss 0.1267430099331721 epoch: 19253 Epoch 19253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19253With loss 0.1267430099331721 epoch: 19254 Epoch 19254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19254With loss 0.1267430099331721 epoch: 19255 Epoch 19255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19255With loss 0.1267430099331721 epoch: 19256 Epoch 19256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19256With loss 0.1267430099331721 epoch: 19257 Epoch 19257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19257With loss 0.1267430099331721 epoch: 19258 Epoch 19258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19258With loss 0.1267430099331721 epoch: 19259 Epoch 19259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19259With loss 0.1267430099331721 epoch: 19260 Epoch 19260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19260With loss 0.1267430099331721 epoch: 19261 Epoch 19261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19261With loss 0.1267430099331721 epoch: 19262 Epoch 19262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19262With loss 0.1267430099331721 epoch: 19263 Epoch 19263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19263With loss 0.1267430099331721 epoch: 19264 Epoch 19264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19264With loss 0.1267430099331721 epoch: 19265 Epoch 19265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19265With loss 0.1267430099331721 epoch: 19266 Epoch 19266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19266With loss 0.1267430099331721 epoch: 19267 Epoch 19267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19267With loss 0.1267430099331721 epoch: 19268 Epoch 19268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19268With loss 0.1267430099331721 epoch: 19269 Epoch 19269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19269With loss 0.1267430099331721 epoch: 19270 Epoch 19270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19270With loss 0.1267430099331721 epoch: 19271 Epoch 19271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19271With loss 0.1267430099331721 epoch: 19272 Epoch 19272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19272With loss 0.1267430099331721 epoch: 19273 Epoch 19273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19273With loss 0.1267430099331721 epoch: 19274 Epoch 19274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19274With loss 0.1267430099331721 epoch: 19275 Epoch 19275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19275With loss 0.1267430099331721 epoch: 19276 Epoch 19276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19276With loss 0.1267430099331721 epoch: 19277 Epoch 19277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19277With loss 0.1267430099331721 epoch: 19278 Epoch 19278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19278With loss 0.1267430099331721 epoch: 19279 Epoch 19279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19279With loss 0.1267430099331721 epoch: 19280 Epoch 19280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19280With loss 0.1267430099331721 epoch: 19281 Epoch 19281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19281With loss 0.1267430099331721 epoch: 19282 Epoch 19282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19282With loss 0.1267430099331721 epoch: 19283 Epoch 19283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19283With loss 0.1267430099331721 epoch: 19284 Epoch 19284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19284With loss 0.1267430099331721 epoch: 19285 Epoch 19285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19285With loss 0.1267430099331721 epoch: 19286 Epoch 19286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19286With loss 0.1267430099331721 epoch: 19287 Epoch 19287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19287With loss 0.1267430099331721 epoch: 19288 Epoch 19288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19288With loss 0.1267430099331721 epoch: 19289 Epoch 19289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19289With loss 0.1267430099331721 epoch: 19290 Epoch 19290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19290With loss 0.1267430099331721 epoch: 19291 Epoch 19291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19291With loss 0.1267430099331721 epoch: 19292 Epoch 19292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19292With loss 0.1267430099331721 epoch: 19293 Epoch 19293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19293With loss 0.1267430099331721 epoch: 19294 Epoch 19294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19294With loss 0.1267430099331721 epoch: 19295 Epoch 19295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19295With loss 0.1267430099331721 epoch: 19296 Epoch 19296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19296With loss 0.1267430099331721 epoch: 19297 Epoch 19297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19297With loss 0.1267430099331721 epoch: 19298 Epoch 19298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19298With loss 0.1267430099331721 epoch: 19299 Epoch 19299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19299With loss 0.1267430099331721 epoch: 19300 Epoch 19300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19300With loss 0.1267430099331721 epoch: 19301 Epoch 19301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19301With loss 0.1267430099331721 epoch: 19302 Epoch 19302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19302With loss 0.1267430099331721 epoch: 19303 Epoch 19303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19303With loss 0.1267430099331721 epoch: 19304 Epoch 19304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19304With loss 0.1267430099331721 epoch: 19305 Epoch 19305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19305With loss 0.1267430099331721 epoch: 19306 Epoch 19306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19306With loss 0.1267430099331721 epoch: 19307 Epoch 19307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19307With loss 0.1267430099331721 epoch: 19308 Epoch 19308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19308With loss 0.1267430099331721 epoch: 19309 Epoch 19309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19309With loss 0.1267430099331721 epoch: 19310 Epoch 19310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19310With loss 0.1267430099331721 epoch: 19311 Epoch 19311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19311With loss 0.1267430099331721 epoch: 19312 Epoch 19312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19312With loss 0.1267430099331721 epoch: 19313 Epoch 19313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19313With loss 0.1267430099331721 epoch: 19314 Epoch 19314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19314With loss 0.1267430099331721 epoch: 19315 Epoch 19315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19315With loss 0.1267430099331721 epoch: 19316 Epoch 19316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19316With loss 0.1267430099331721 epoch: 19317 Epoch 19317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19317With loss 0.1267430099331721 epoch: 19318 Epoch 19318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19318With loss 0.1267430099331721 epoch: 19319 Epoch 19319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19319With loss 0.1267430099331721 epoch: 19320 Epoch 19320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19320With loss 0.1267430099331721 epoch: 19321 Epoch 19321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19321With loss 0.1267430099331721 epoch: 19322 Epoch 19322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19322With loss 0.1267430099331721 epoch: 19323 Epoch 19323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19323With loss 0.1267430099331721 epoch: 19324 Epoch 19324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19324With loss 0.1267430099331721 epoch: 19325 Epoch 19325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19325With loss 0.1267430099331721 epoch: 19326 Epoch 19326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19326With loss 0.1267430099331721 epoch: 19327 Epoch 19327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19327With loss 0.1267430099331721 epoch: 19328 Epoch 19328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19328With loss 0.1267430099331721 epoch: 19329 Epoch 19329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19329With loss 0.1267430099331721 epoch: 19330 Epoch 19330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19330With loss 0.1267430099331721 epoch: 19331 Epoch 19331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19331With loss 0.1267430099331721 epoch: 19332 Epoch 19332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19332With loss 0.1267430099331721 epoch: 19333 Epoch 19333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19333With loss 0.1267430099331721 epoch: 19334 Epoch 19334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19334With loss 0.1267430099331721 epoch: 19335 Epoch 19335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19335With loss 0.1267430099331721 epoch: 19336 Epoch 19336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19336With loss 0.1267430099331721 epoch: 19337 Epoch 19337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19337With loss 0.1267430099331721 epoch: 19338 Epoch 19338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19338With loss 0.1267430099331721 epoch: 19339 Epoch 19339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19339With loss 0.1267430099331721 epoch: 19340 Epoch 19340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19340With loss 0.1267430099331721 epoch: 19341 Epoch 19341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19341With loss 0.1267430099331721 epoch: 19342 Epoch 19342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19342With loss 0.1267430099331721 epoch: 19343 Epoch 19343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19343With loss 0.1267430099331721 epoch: 19344 Epoch 19344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19344With loss 0.1267430099331721 epoch: 19345 Epoch 19345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19345With loss 0.1267430099331721 epoch: 19346 Epoch 19346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19346With loss 0.1267430099331721 epoch: 19347 Epoch 19347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19347With loss 0.1267430099331721 epoch: 19348 Epoch 19348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19348With loss 0.1267430099331721 epoch: 19349 Epoch 19349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19349With loss 0.1267430099331721 epoch: 19350 Epoch 19350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19350With loss 0.1267430099331721 epoch: 19351 Epoch 19351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19351With loss 0.1267430099331721 epoch: 19352 Epoch 19352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19352With loss 0.1267430099331721 epoch: 19353 Epoch 19353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19353With loss 0.1267430099331721 epoch: 19354 Epoch 19354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19354With loss 0.1267430099331721 epoch: 19355 Epoch 19355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19355With loss 0.1267430099331721 epoch: 19356 Epoch 19356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19356With loss 0.1267430099331721 epoch: 19357 Epoch 19357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19357With loss 0.1267430099331721 epoch: 19358 Epoch 19358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19358With loss 0.1267430099331721 epoch: 19359 Epoch 19359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19359With loss 0.1267430099331721 epoch: 19360 Epoch 19360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19360With loss 0.1267430099331721 epoch: 19361 Epoch 19361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19361With loss 0.1267430099331721 epoch: 19362 Epoch 19362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19362With loss 0.1267430099331721 epoch: 19363 Epoch 19363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19363With loss 0.1267430099331721 epoch: 19364 Epoch 19364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19364With loss 0.1267430099331721 epoch: 19365 Epoch 19365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19365With loss 0.1267430099331721 epoch: 19366 Epoch 19366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19366With loss 0.1267430099331721 epoch: 19367 Epoch 19367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19367With loss 0.1267430099331721 epoch: 19368 Epoch 19368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19368With loss 0.1267430099331721 epoch: 19369 Epoch 19369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19369With loss 0.1267430099331721 epoch: 19370 Epoch 19370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19370With loss 0.1267430099331721 epoch: 19371 Epoch 19371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19371With loss 0.1267430099331721 epoch: 19372 Epoch 19372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19372With loss 0.1267430099331721 epoch: 19373 Epoch 19373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19373With loss 0.1267430099331721 epoch: 19374 Epoch 19374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19374With loss 0.1267430099331721 epoch: 19375 Epoch 19375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19375With loss 0.1267430099331721 epoch: 19376 Epoch 19376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19376With loss 0.1267430099331721 epoch: 19377 Epoch 19377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19377With loss 0.1267430099331721 epoch: 19378 Epoch 19378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19378With loss 0.1267430099331721 epoch: 19379 Epoch 19379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19379With loss 0.1267430099331721 epoch: 19380 Epoch 19380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19380With loss 0.1267430099331721 epoch: 19381 Epoch 19381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19381With loss 0.1267430099331721 epoch: 19382 Epoch 19382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19382With loss 0.1267430099331721 epoch: 19383 Epoch 19383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19383With loss 0.1267430099331721 epoch: 19384 Epoch 19384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19384With loss 0.1267430099331721 epoch: 19385 Epoch 19385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19385With loss 0.1267430099331721 epoch: 19386 Epoch 19386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19386With loss 0.1267430099331721 epoch: 19387 Epoch 19387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19387With loss 0.1267430099331721 epoch: 19388 Epoch 19388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19388With loss 0.1267430099331721 epoch: 19389 Epoch 19389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19389With loss 0.1267430099331721 epoch: 19390 Epoch 19390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19390With loss 0.1267430099331721 epoch: 19391 Epoch 19391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19391With loss 0.1267430099331721 epoch: 19392 Epoch 19392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19392With loss 0.1267430099331721 epoch: 19393 Epoch 19393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19393With loss 0.1267430099331721 epoch: 19394 Epoch 19394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19394With loss 0.1267430099331721 epoch: 19395 Epoch 19395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19395With loss 0.1267430099331721 epoch: 19396 Epoch 19396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19396With loss 0.1267430099331721 epoch: 19397 Epoch 19397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19397With loss 0.1267430099331721 epoch: 19398 Epoch 19398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19398With loss 0.1267430099331721 epoch: 19399 Epoch 19399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19399With loss 0.1267430099331721 epoch: 19400 Epoch 19400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19400With loss 0.1267430099331721 epoch: 19401 Epoch 19401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19401With loss 0.1267430099331721 epoch: 19402 Epoch 19402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19402With loss 0.1267430099331721 epoch: 19403 Epoch 19403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19403With loss 0.1267430099331721 epoch: 19404 Epoch 19404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19404With loss 0.1267430099331721 epoch: 19405 Epoch 19405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19405With loss 0.1267430099331721 epoch: 19406 Epoch 19406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19406With loss 0.1267430099331721 epoch: 19407 Epoch 19407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19407With loss 0.1267430099331721 epoch: 19408 Epoch 19408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19408With loss 0.1267430099331721 epoch: 19409 Epoch 19409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19409With loss 0.1267430099331721 epoch: 19410 Epoch 19410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19410With loss 0.1267430099331721 epoch: 19411 Epoch 19411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19411With loss 0.1267430099331721 epoch: 19412 Epoch 19412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19412With loss 0.1267430099331721 epoch: 19413 Epoch 19413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19413With loss 0.1267430099331721 epoch: 19414 Epoch 19414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19414With loss 0.1267430099331721 epoch: 19415 Epoch 19415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19415With loss 0.1267430099331721 epoch: 19416 Epoch 19416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19416With loss 0.1267430099331721 epoch: 19417 Epoch 19417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19417With loss 0.1267430099331721 epoch: 19418 Epoch 19418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19418With loss 0.1267430099331721 epoch: 19419 Epoch 19419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19419With loss 0.1267430099331721 epoch: 19420 Epoch 19420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19420With loss 0.1267430099331721 epoch: 19421 Epoch 19421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19421With loss 0.1267430099331721 epoch: 19422 Epoch 19422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19422With loss 0.1267430099331721 epoch: 19423 Epoch 19423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19423With loss 0.1267430099331721 epoch: 19424 Epoch 19424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19424With loss 0.1267430099331721 epoch: 19425 Epoch 19425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19425With loss 0.1267430099331721 epoch: 19426 Epoch 19426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19426With loss 0.1267430099331721 epoch: 19427 Epoch 19427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19427With loss 0.1267430099331721 epoch: 19428 Epoch 19428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19428With loss 0.1267430099331721 epoch: 19429 Epoch 19429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19429With loss 0.1267430099331721 epoch: 19430 Epoch 19430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19430With loss 0.1267430099331721 epoch: 19431 Epoch 19431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19431With loss 0.1267430099331721 epoch: 19432 Epoch 19432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19432With loss 0.1267430099331721 epoch: 19433 Epoch 19433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19433With loss 0.1267430099331721 epoch: 19434 Epoch 19434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19434With loss 0.1267430099331721 epoch: 19435 Epoch 19435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19435With loss 0.1267430099331721 epoch: 19436 Epoch 19436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19436With loss 0.1267430099331721 epoch: 19437 Epoch 19437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19437With loss 0.1267430099331721 epoch: 19438 Epoch 19438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19438With loss 0.1267430099331721 epoch: 19439 Epoch 19439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19439With loss 0.1267430099331721 epoch: 19440 Epoch 19440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19440With loss 0.1267430099331721 epoch: 19441 Epoch 19441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19441With loss 0.1267430099331721 epoch: 19442 Epoch 19442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19442With loss 0.1267430099331721 epoch: 19443 Epoch 19443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19443With loss 0.1267430099331721 epoch: 19444 Epoch 19444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19444With loss 0.1267430099331721 epoch: 19445 Epoch 19445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19445With loss 0.1267430099331721 epoch: 19446 Epoch 19446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19446With loss 0.1267430099331721 epoch: 19447 Epoch 19447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19447With loss 0.1267430099331721 epoch: 19448 Epoch 19448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19448With loss 0.1267430099331721 epoch: 19449 Epoch 19449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19449With loss 0.1267430099331721 epoch: 19450 Epoch 19450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19450With loss 0.1267430099331721 epoch: 19451 Epoch 19451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19451With loss 0.1267430099331721 epoch: 19452 Epoch 19452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19452With loss 0.1267430099331721 epoch: 19453 Epoch 19453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19453With loss 0.1267430099331721 epoch: 19454 Epoch 19454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19454With loss 0.1267430099331721 epoch: 19455 Epoch 19455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19455With loss 0.1267430099331721 epoch: 19456 Epoch 19456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19456With loss 0.1267430099331721 epoch: 19457 Epoch 19457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19457With loss 0.1267430099331721 epoch: 19458 Epoch 19458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19458With loss 0.1267430099331721 epoch: 19459 Epoch 19459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19459With loss 0.1267430099331721 epoch: 19460 Epoch 19460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19460With loss 0.1267430099331721 epoch: 19461 Epoch 19461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19461With loss 0.1267430099331721 epoch: 19462 Epoch 19462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19462With loss 0.1267430099331721 epoch: 19463 Epoch 19463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19463With loss 0.1267430099331721 epoch: 19464 Epoch 19464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19464With loss 0.1267430099331721 epoch: 19465 Epoch 19465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19465With loss 0.1267430099331721 epoch: 19466 Epoch 19466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19466With loss 0.1267430099331721 epoch: 19467 Epoch 19467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19467With loss 0.1267430099331721 epoch: 19468 Epoch 19468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19468With loss 0.1267430099331721 epoch: 19469 Epoch 19469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19469With loss 0.1267430099331721 epoch: 19470 Epoch 19470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19470With loss 0.1267430099331721 epoch: 19471 Epoch 19471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19471With loss 0.1267430099331721 epoch: 19472 Epoch 19472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19472With loss 0.1267430099331721 epoch: 19473 Epoch 19473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19473With loss 0.1267430099331721 epoch: 19474 Epoch 19474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19474With loss 0.1267430099331721 epoch: 19475 Epoch 19475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19475With loss 0.1267430099331721 epoch: 19476 Epoch 19476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19476With loss 0.1267430099331721 epoch: 19477 Epoch 19477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19477With loss 0.1267430099331721 epoch: 19478 Epoch 19478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19478With loss 0.1267430099331721 epoch: 19479 Epoch 19479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19479With loss 0.1267430099331721 epoch: 19480 Epoch 19480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19480With loss 0.1267430099331721 epoch: 19481 Epoch 19481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19481With loss 0.1267430099331721 epoch: 19482 Epoch 19482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19482With loss 0.1267430099331721 epoch: 19483 Epoch 19483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19483With loss 0.1267430099331721 epoch: 19484 Epoch 19484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19484With loss 0.1267430099331721 epoch: 19485 Epoch 19485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19485With loss 0.1267430099331721 epoch: 19486 Epoch 19486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19486With loss 0.1267430099331721 epoch: 19487 Epoch 19487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19487With loss 0.1267430099331721 epoch: 19488 Epoch 19488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19488With loss 0.1267430099331721 epoch: 19489 Epoch 19489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19489With loss 0.1267430099331721 epoch: 19490 Epoch 19490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19490With loss 0.1267430099331721 epoch: 19491 Epoch 19491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19491With loss 0.1267430099331721 epoch: 19492 Epoch 19492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19492With loss 0.1267430099331721 epoch: 19493 Epoch 19493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19493With loss 0.1267430099331721 epoch: 19494 Epoch 19494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19494With loss 0.1267430099331721 epoch: 19495 Epoch 19495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19495With loss 0.1267430099331721 epoch: 19496 Epoch 19496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19496With loss 0.1267430099331721 epoch: 19497 Epoch 19497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19497With loss 0.1267430099331721 epoch: 19498 Epoch 19498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19498With loss 0.1267430099331721 epoch: 19499 Epoch 19499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19499With loss 0.1267430099331721 epoch: 19500 Epoch 19500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19500With loss 0.1267430099331721 epoch: 19501 Epoch 19501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19501With loss 0.1267430099331721 epoch: 19502 Epoch 19502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19502With loss 0.1267430099331721 epoch: 19503 Epoch 19503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19503With loss 0.1267430099331721 epoch: 19504 Epoch 19504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19504With loss 0.1267430099331721 epoch: 19505 Epoch 19505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19505With loss 0.1267430099331721 epoch: 19506 Epoch 19506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19506With loss 0.1267430099331721 epoch: 19507 Epoch 19507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19507With loss 0.1267430099331721 epoch: 19508 Epoch 19508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19508With loss 0.1267430099331721 epoch: 19509 Epoch 19509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19509With loss 0.1267430099331721 epoch: 19510 Epoch 19510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19510With loss 0.1267430099331721 epoch: 19511 Epoch 19511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19511With loss 0.1267430099331721 epoch: 19512 Epoch 19512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19512With loss 0.1267430099331721 epoch: 19513 Epoch 19513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19513With loss 0.1267430099331721 epoch: 19514 Epoch 19514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19514With loss 0.1267430099331721 epoch: 19515 Epoch 19515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19515With loss 0.1267430099331721 epoch: 19516 Epoch 19516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19516With loss 0.1267430099331721 epoch: 19517 Epoch 19517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19517With loss 0.1267430099331721 epoch: 19518 Epoch 19518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19518With loss 0.1267430099331721 epoch: 19519 Epoch 19519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19519With loss 0.1267430099331721 epoch: 19520 Epoch 19520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19520With loss 0.1267430099331721 epoch: 19521 Epoch 19521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19521With loss 0.1267430099331721 epoch: 19522 Epoch 19522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19522With loss 0.1267430099331721 epoch: 19523 Epoch 19523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19523With loss 0.1267430099331721 epoch: 19524 Epoch 19524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19524With loss 0.1267430099331721 epoch: 19525 Epoch 19525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19525With loss 0.1267430099331721 epoch: 19526 Epoch 19526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19526With loss 0.1267430099331721 epoch: 19527 Epoch 19527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19527With loss 0.1267430099331721 epoch: 19528 Epoch 19528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19528With loss 0.1267430099331721 epoch: 19529 Epoch 19529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19529With loss 0.1267430099331721 epoch: 19530 Epoch 19530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19530With loss 0.1267430099331721 epoch: 19531 Epoch 19531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19531With loss 0.1267430099331721 epoch: 19532 Epoch 19532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19532With loss 0.1267430099331721 epoch: 19533 Epoch 19533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19533With loss 0.1267430099331721 epoch: 19534 Epoch 19534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19534With loss 0.1267430099331721 epoch: 19535 Epoch 19535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19535With loss 0.1267430099331721 epoch: 19536 Epoch 19536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19536With loss 0.1267430099331721 epoch: 19537 Epoch 19537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19537With loss 0.1267430099331721 epoch: 19538 Epoch 19538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19538With loss 0.1267430099331721 epoch: 19539 Epoch 19539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19539With loss 0.1267430099331721 epoch: 19540 Epoch 19540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19540With loss 0.1267430099331721 epoch: 19541 Epoch 19541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19541With loss 0.1267430099331721 epoch: 19542 Epoch 19542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19542With loss 0.1267430099331721 epoch: 19543 Epoch 19543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19543With loss 0.1267430099331721 epoch: 19544 Epoch 19544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19544With loss 0.1267430099331721 epoch: 19545 Epoch 19545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19545With loss 0.1267430099331721 epoch: 19546 Epoch 19546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19546With loss 0.1267430099331721 epoch: 19547 Epoch 19547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19547With loss 0.1267430099331721 epoch: 19548 Epoch 19548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19548With loss 0.1267430099331721 epoch: 19549 Epoch 19549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19549With loss 0.1267430099331721 epoch: 19550 Epoch 19550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19550With loss 0.1267430099331721 epoch: 19551 Epoch 19551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19551With loss 0.1267430099331721 epoch: 19552 Epoch 19552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19552With loss 0.1267430099331721 epoch: 19553 Epoch 19553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19553With loss 0.1267430099331721 epoch: 19554 Epoch 19554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19554With loss 0.1267430099331721 epoch: 19555 Epoch 19555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19555With loss 0.1267430099331721 epoch: 19556 Epoch 19556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19556With loss 0.1267430099331721 epoch: 19557 Epoch 19557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19557With loss 0.1267430099331721 epoch: 19558 Epoch 19558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19558With loss 0.1267430099331721 epoch: 19559 Epoch 19559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19559With loss 0.1267430099331721 epoch: 19560 Epoch 19560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19560With loss 0.1267430099331721 epoch: 19561 Epoch 19561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19561With loss 0.1267430099331721 epoch: 19562 Epoch 19562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19562With loss 0.1267430099331721 epoch: 19563 Epoch 19563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19563With loss 0.1267430099331721 epoch: 19564 Epoch 19564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19564With loss 0.1267430099331721 epoch: 19565 Epoch 19565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19565With loss 0.1267430099331721 epoch: 19566 Epoch 19566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19566With loss 0.1267430099331721 epoch: 19567 Epoch 19567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19567With loss 0.1267430099331721 epoch: 19568 Epoch 19568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19568With loss 0.1267430099331721 epoch: 19569 Epoch 19569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19569With loss 0.1267430099331721 epoch: 19570 Epoch 19570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19570With loss 0.1267430099331721 epoch: 19571 Epoch 19571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19571With loss 0.1267430099331721 epoch: 19572 Epoch 19572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19572With loss 0.1267430099331721 epoch: 19573 Epoch 19573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19573With loss 0.1267430099331721 epoch: 19574 Epoch 19574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19574With loss 0.1267430099331721 epoch: 19575 Epoch 19575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19575With loss 0.1267430099331721 epoch: 19576 Epoch 19576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19576With loss 0.1267430099331721 epoch: 19577 Epoch 19577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19577With loss 0.1267430099331721 epoch: 19578 Epoch 19578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19578With loss 0.1267430099331721 epoch: 19579 Epoch 19579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19579With loss 0.1267430099331721 epoch: 19580 Epoch 19580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19580With loss 0.1267430099331721 epoch: 19581 Epoch 19581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19581With loss 0.1267430099331721 epoch: 19582 Epoch 19582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19582With loss 0.1267430099331721 epoch: 19583 Epoch 19583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19583With loss 0.1267430099331721 epoch: 19584 Epoch 19584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19584With loss 0.1267430099331721 epoch: 19585 Epoch 19585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19585With loss 0.1267430099331721 epoch: 19586 Epoch 19586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19586With loss 0.1267430099331721 epoch: 19587 Epoch 19587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19587With loss 0.1267430099331721 epoch: 19588 Epoch 19588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19588With loss 0.1267430099331721 epoch: 19589 Epoch 19589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19589With loss 0.1267430099331721 epoch: 19590 Epoch 19590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19590With loss 0.1267430099331721 epoch: 19591 Epoch 19591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19591With loss 0.1267430099331721 epoch: 19592 Epoch 19592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19592With loss 0.1267430099331721 epoch: 19593 Epoch 19593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19593With loss 0.1267430099331721 epoch: 19594 Epoch 19594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19594With loss 0.1267430099331721 epoch: 19595 Epoch 19595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19595With loss 0.1267430099331721 epoch: 19596 Epoch 19596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19596With loss 0.1267430099331721 epoch: 19597 Epoch 19597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19597With loss 0.1267430099331721 epoch: 19598 Epoch 19598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19598With loss 0.1267430099331721 epoch: 19599 Epoch 19599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19599With loss 0.1267430099331721 epoch: 19600 Epoch 19600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19600With loss 0.1267430099331721 epoch: 19601 Epoch 19601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19601With loss 0.1267430099331721 epoch: 19602 Epoch 19602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19602With loss 0.1267430099331721 epoch: 19603 Epoch 19603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19603With loss 0.1267430099331721 epoch: 19604 Epoch 19604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19604With loss 0.1267430099331721 epoch: 19605 Epoch 19605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19605With loss 0.1267430099331721 epoch: 19606 Epoch 19606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19606With loss 0.1267430099331721 epoch: 19607 Epoch 19607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19607With loss 0.1267430099331721 epoch: 19608 Epoch 19608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19608With loss 0.1267430099331721 epoch: 19609 Epoch 19609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19609With loss 0.1267430099331721 epoch: 19610 Epoch 19610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19610With loss 0.1267430099331721 epoch: 19611 Epoch 19611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19611With loss 0.1267430099331721 epoch: 19612 Epoch 19612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19612With loss 0.1267430099331721 epoch: 19613 Epoch 19613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19613With loss 0.1267430099331721 epoch: 19614 Epoch 19614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19614With loss 0.1267430099331721 epoch: 19615 Epoch 19615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19615With loss 0.1267430099331721 epoch: 19616 Epoch 19616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19616With loss 0.1267430099331721 epoch: 19617 Epoch 19617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19617With loss 0.1267430099331721 epoch: 19618 Epoch 19618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19618With loss 0.1267430099331721 epoch: 19619 Epoch 19619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19619With loss 0.1267430099331721 epoch: 19620 Epoch 19620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19620With loss 0.1267430099331721 epoch: 19621 Epoch 19621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19621With loss 0.1267430099331721 epoch: 19622 Epoch 19622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19622With loss 0.1267430099331721 epoch: 19623 Epoch 19623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19623With loss 0.1267430099331721 epoch: 19624 Epoch 19624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19624With loss 0.1267430099331721 epoch: 19625 Epoch 19625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19625With loss 0.1267430099331721 epoch: 19626 Epoch 19626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19626With loss 0.1267430099331721 epoch: 19627 Epoch 19627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19627With loss 0.1267430099331721 epoch: 19628 Epoch 19628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19628With loss 0.1267430099331721 epoch: 19629 Epoch 19629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19629With loss 0.1267430099331721 epoch: 19630 Epoch 19630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19630With loss 0.1267430099331721 epoch: 19631 Epoch 19631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19631With loss 0.1267430099331721 epoch: 19632 Epoch 19632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19632With loss 0.1267430099331721 epoch: 19633 Epoch 19633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19633With loss 0.1267430099331721 epoch: 19634 Epoch 19634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19634With loss 0.1267430099331721 epoch: 19635 Epoch 19635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19635With loss 0.1267430099331721 epoch: 19636 Epoch 19636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19636With loss 0.1267430099331721 epoch: 19637 Epoch 19637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19637With loss 0.1267430099331721 epoch: 19638 Epoch 19638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19638With loss 0.1267430099331721 epoch: 19639 Epoch 19639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19639With loss 0.1267430099331721 epoch: 19640 Epoch 19640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19640With loss 0.1267430099331721 epoch: 19641 Epoch 19641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19641With loss 0.1267430099331721 epoch: 19642 Epoch 19642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19642With loss 0.1267430099331721 epoch: 19643 Epoch 19643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19643With loss 0.1267430099331721 epoch: 19644 Epoch 19644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19644With loss 0.1267430099331721 epoch: 19645 Epoch 19645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19645With loss 0.1267430099331721 epoch: 19646 Epoch 19646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19646With loss 0.1267430099331721 epoch: 19647 Epoch 19647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19647With loss 0.1267430099331721 epoch: 19648 Epoch 19648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19648With loss 0.1267430099331721 epoch: 19649 Epoch 19649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19649With loss 0.1267430099331721 epoch: 19650 Epoch 19650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19650With loss 0.1267430099331721 epoch: 19651 Epoch 19651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19651With loss 0.1267430099331721 epoch: 19652 Epoch 19652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19652With loss 0.1267430099331721 epoch: 19653 Epoch 19653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19653With loss 0.1267430099331721 epoch: 19654 Epoch 19654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19654With loss 0.1267430099331721 epoch: 19655 Epoch 19655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19655With loss 0.1267430099331721 epoch: 19656 Epoch 19656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19656With loss 0.1267430099331721 epoch: 19657 Epoch 19657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19657With loss 0.1267430099331721 epoch: 19658 Epoch 19658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19658With loss 0.1267430099331721 epoch: 19659 Epoch 19659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19659With loss 0.1267430099331721 epoch: 19660 Epoch 19660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19660With loss 0.1267430099331721 epoch: 19661 Epoch 19661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19661With loss 0.1267430099331721 epoch: 19662 Epoch 19662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19662With loss 0.1267430099331721 epoch: 19663 Epoch 19663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19663With loss 0.1267430099331721 epoch: 19664 Epoch 19664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19664With loss 0.1267430099331721 epoch: 19665 Epoch 19665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19665With loss 0.1267430099331721 epoch: 19666 Epoch 19666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19666With loss 0.1267430099331721 epoch: 19667 Epoch 19667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19667With loss 0.1267430099331721 epoch: 19668 Epoch 19668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19668With loss 0.1267430099331721 epoch: 19669 Epoch 19669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19669With loss 0.1267430099331721 epoch: 19670 Epoch 19670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19670With loss 0.1267430099331721 epoch: 19671 Epoch 19671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19671With loss 0.1267430099331721 epoch: 19672 Epoch 19672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19672With loss 0.1267430099331721 epoch: 19673 Epoch 19673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19673With loss 0.1267430099331721 epoch: 19674 Epoch 19674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19674With loss 0.1267430099331721 epoch: 19675 Epoch 19675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19675With loss 0.1267430099331721 epoch: 19676 Epoch 19676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19676With loss 0.1267430099331721 epoch: 19677 Epoch 19677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19677With loss 0.1267430099331721 epoch: 19678 Epoch 19678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19678With loss 0.1267430099331721 epoch: 19679 Epoch 19679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19679With loss 0.1267430099331721 epoch: 19680 Epoch 19680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19680With loss 0.1267430099331721 epoch: 19681 Epoch 19681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19681With loss 0.1267430099331721 epoch: 19682 Epoch 19682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19682With loss 0.1267430099331721 epoch: 19683 Epoch 19683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19683With loss 0.1267430099331721 epoch: 19684 Epoch 19684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19684With loss 0.1267430099331721 epoch: 19685 Epoch 19685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19685With loss 0.1267430099331721 epoch: 19686 Epoch 19686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19686With loss 0.1267430099331721 epoch: 19687 Epoch 19687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19687With loss 0.1267430099331721 epoch: 19688 Epoch 19688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19688With loss 0.1267430099331721 epoch: 19689 Epoch 19689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19689With loss 0.1267430099331721 epoch: 19690 Epoch 19690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19690With loss 0.1267430099331721 epoch: 19691 Epoch 19691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19691With loss 0.1267430099331721 epoch: 19692 Epoch 19692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19692With loss 0.1267430099331721 epoch: 19693 Epoch 19693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19693With loss 0.1267430099331721 epoch: 19694 Epoch 19694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19694With loss 0.1267430099331721 epoch: 19695 Epoch 19695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19695With loss 0.1267430099331721 epoch: 19696 Epoch 19696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19696With loss 0.1267430099331721 epoch: 19697 Epoch 19697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19697With loss 0.1267430099331721 epoch: 19698 Epoch 19698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19698With loss 0.1267430099331721 epoch: 19699 Epoch 19699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19699With loss 0.1267430099331721 epoch: 19700 Epoch 19700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19700With loss 0.1267430099331721 epoch: 19701 Epoch 19701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19701With loss 0.1267430099331721 epoch: 19702 Epoch 19702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19702With loss 0.1267430099331721 epoch: 19703 Epoch 19703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19703With loss 0.1267430099331721 epoch: 19704 Epoch 19704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19704With loss 0.1267430099331721 epoch: 19705 Epoch 19705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19705With loss 0.1267430099331721 epoch: 19706 Epoch 19706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19706With loss 0.1267430099331721 epoch: 19707 Epoch 19707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19707With loss 0.1267430099331721 epoch: 19708 Epoch 19708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19708With loss 0.1267430099331721 epoch: 19709 Epoch 19709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19709With loss 0.1267430099331721 epoch: 19710 Epoch 19710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19710With loss 0.1267430099331721 epoch: 19711 Epoch 19711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19711With loss 0.1267430099331721 epoch: 19712 Epoch 19712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19712With loss 0.1267430099331721 epoch: 19713 Epoch 19713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19713With loss 0.1267430099331721 epoch: 19714 Epoch 19714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19714With loss 0.1267430099331721 epoch: 19715 Epoch 19715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19715With loss 0.1267430099331721 epoch: 19716 Epoch 19716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19716With loss 0.1267430099331721 epoch: 19717 Epoch 19717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19717With loss 0.1267430099331721 epoch: 19718 Epoch 19718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19718With loss 0.1267430099331721 epoch: 19719 Epoch 19719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19719With loss 0.1267430099331721 epoch: 19720 Epoch 19720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19720With loss 0.1267430099331721 epoch: 19721 Epoch 19721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19721With loss 0.1267430099331721 epoch: 19722 Epoch 19722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19722With loss 0.1267430099331721 epoch: 19723 Epoch 19723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19723With loss 0.1267430099331721 epoch: 19724 Epoch 19724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19724With loss 0.1267430099331721 epoch: 19725 Epoch 19725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19725With loss 0.1267430099331721 epoch: 19726 Epoch 19726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19726With loss 0.1267430099331721 epoch: 19727 Epoch 19727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19727With loss 0.1267430099331721 epoch: 19728 Epoch 19728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19728With loss 0.1267430099331721 epoch: 19729 Epoch 19729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19729With loss 0.1267430099331721 epoch: 19730 Epoch 19730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19730With loss 0.1267430099331721 epoch: 19731 Epoch 19731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19731With loss 0.1267430099331721 epoch: 19732 Epoch 19732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19732With loss 0.1267430099331721 epoch: 19733 Epoch 19733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19733With loss 0.1267430099331721 epoch: 19734 Epoch 19734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19734With loss 0.1267430099331721 epoch: 19735 Epoch 19735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19735With loss 0.1267430099331721 epoch: 19736 Epoch 19736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19736With loss 0.1267430099331721 epoch: 19737 Epoch 19737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19737With loss 0.1267430099331721 epoch: 19738 Epoch 19738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19738With loss 0.1267430099331721 epoch: 19739 Epoch 19739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19739With loss 0.1267430099331721 epoch: 19740 Epoch 19740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19740With loss 0.1267430099331721 epoch: 19741 Epoch 19741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19741With loss 0.1267430099331721 epoch: 19742 Epoch 19742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19742With loss 0.1267430099331721 epoch: 19743 Epoch 19743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19743With loss 0.1267430099331721 epoch: 19744 Epoch 19744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19744With loss 0.1267430099331721 epoch: 19745 Epoch 19745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19745With loss 0.1267430099331721 epoch: 19746 Epoch 19746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19746With loss 0.1267430099331721 epoch: 19747 Epoch 19747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19747With loss 0.1267430099331721 epoch: 19748 Epoch 19748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19748With loss 0.1267430099331721 epoch: 19749 Epoch 19749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19749With loss 0.1267430099331721 epoch: 19750 Epoch 19750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19750With loss 0.1267430099331721 epoch: 19751 Epoch 19751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19751With loss 0.1267430099331721 epoch: 19752 Epoch 19752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19752With loss 0.1267430099331721 epoch: 19753 Epoch 19753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19753With loss 0.1267430099331721 epoch: 19754 Epoch 19754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19754With loss 0.1267430099331721 epoch: 19755 Epoch 19755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19755With loss 0.1267430099331721 epoch: 19756 Epoch 19756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19756With loss 0.1267430099331721 epoch: 19757 Epoch 19757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19757With loss 0.1267430099331721 epoch: 19758 Epoch 19758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19758With loss 0.1267430099331721 epoch: 19759 Epoch 19759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19759With loss 0.1267430099331721 epoch: 19760 Epoch 19760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19760With loss 0.1267430099331721 epoch: 19761 Epoch 19761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19761With loss 0.1267430099331721 epoch: 19762 Epoch 19762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19762With loss 0.1267430099331721 epoch: 19763 Epoch 19763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19763With loss 0.1267430099331721 epoch: 19764 Epoch 19764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19764With loss 0.1267430099331721 epoch: 19765 Epoch 19765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19765With loss 0.1267430099331721 epoch: 19766 Epoch 19766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19766With loss 0.1267430099331721 epoch: 19767 Epoch 19767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19767With loss 0.1267430099331721 epoch: 19768 Epoch 19768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19768With loss 0.1267430099331721 epoch: 19769 Epoch 19769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19769With loss 0.1267430099331721 epoch: 19770 Epoch 19770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19770With loss 0.1267430099331721 epoch: 19771 Epoch 19771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19771With loss 0.1267430099331721 epoch: 19772 Epoch 19772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19772With loss 0.1267430099331721 epoch: 19773 Epoch 19773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19773With loss 0.1267430099331721 epoch: 19774 Epoch 19774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19774With loss 0.1267430099331721 epoch: 19775 Epoch 19775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19775With loss 0.1267430099331721 epoch: 19776 Epoch 19776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19776With loss 0.1267430099331721 epoch: 19777 Epoch 19777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19777With loss 0.1267430099331721 epoch: 19778 Epoch 19778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19778With loss 0.1267430099331721 epoch: 19779 Epoch 19779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19779With loss 0.1267430099331721 epoch: 19780 Epoch 19780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19780With loss 0.1267430099331721 epoch: 19781 Epoch 19781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19781With loss 0.1267430099331721 epoch: 19782 Epoch 19782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19782With loss 0.1267430099331721 epoch: 19783 Epoch 19783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19783With loss 0.1267430099331721 epoch: 19784 Epoch 19784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19784With loss 0.1267430099331721 epoch: 19785 Epoch 19785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19785With loss 0.1267430099331721 epoch: 19786 Epoch 19786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19786With loss 0.1267430099331721 epoch: 19787 Epoch 19787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19787With loss 0.1267430099331721 epoch: 19788 Epoch 19788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19788With loss 0.1267430099331721 epoch: 19789 Epoch 19789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19789With loss 0.1267430099331721 epoch: 19790 Epoch 19790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19790With loss 0.1267430099331721 epoch: 19791 Epoch 19791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19791With loss 0.1267430099331721 epoch: 19792 Epoch 19792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19792With loss 0.1267430099331721 epoch: 19793 Epoch 19793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19793With loss 0.1267430099331721 epoch: 19794 Epoch 19794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19794With loss 0.1267430099331721 epoch: 19795 Epoch 19795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19795With loss 0.1267430099331721 epoch: 19796 Epoch 19796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19796With loss 0.1267430099331721 epoch: 19797 Epoch 19797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19797With loss 0.1267430099331721 epoch: 19798 Epoch 19798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19798With loss 0.1267430099331721 epoch: 19799 Epoch 19799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19799With loss 0.1267430099331721 epoch: 19800 Epoch 19800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19800With loss 0.1267430099331721 epoch: 19801 Epoch 19801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19801With loss 0.1267430099331721 epoch: 19802 Epoch 19802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19802With loss 0.1267430099331721 epoch: 19803 Epoch 19803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19803With loss 0.1267430099331721 epoch: 19804 Epoch 19804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19804With loss 0.1267430099331721 epoch: 19805 Epoch 19805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19805With loss 0.1267430099331721 epoch: 19806 Epoch 19806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19806With loss 0.1267430099331721 epoch: 19807 Epoch 19807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19807With loss 0.1267430099331721 epoch: 19808 Epoch 19808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19808With loss 0.1267430099331721 epoch: 19809 Epoch 19809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19809With loss 0.1267430099331721 epoch: 19810 Epoch 19810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19810With loss 0.1267430099331721 epoch: 19811 Epoch 19811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19811With loss 0.1267430099331721 epoch: 19812 Epoch 19812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19812With loss 0.1267430099331721 epoch: 19813 Epoch 19813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19813With loss 0.1267430099331721 epoch: 19814 Epoch 19814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19814With loss 0.1267430099331721 epoch: 19815 Epoch 19815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19815With loss 0.1267430099331721 epoch: 19816 Epoch 19816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19816With loss 0.1267430099331721 epoch: 19817 Epoch 19817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19817With loss 0.1267430099331721 epoch: 19818 Epoch 19818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19818With loss 0.1267430099331721 epoch: 19819 Epoch 19819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19819With loss 0.1267430099331721 epoch: 19820 Epoch 19820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19820With loss 0.1267430099331721 epoch: 19821 Epoch 19821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19821With loss 0.1267430099331721 epoch: 19822 Epoch 19822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19822With loss 0.1267430099331721 epoch: 19823 Epoch 19823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19823With loss 0.1267430099331721 epoch: 19824 Epoch 19824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19824With loss 0.1267430099331721 epoch: 19825 Epoch 19825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19825With loss 0.1267430099331721 epoch: 19826 Epoch 19826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19826With loss 0.1267430099331721 epoch: 19827 Epoch 19827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19827With loss 0.1267430099331721 epoch: 19828 Epoch 19828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19828With loss 0.1267430099331721 epoch: 19829 Epoch 19829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19829With loss 0.1267430099331721 epoch: 19830 Epoch 19830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19830With loss 0.1267430099331721 epoch: 19831 Epoch 19831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19831With loss 0.1267430099331721 epoch: 19832 Epoch 19832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19832With loss 0.1267430099331721 epoch: 19833 Epoch 19833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19833With loss 0.1267430099331721 epoch: 19834 Epoch 19834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19834With loss 0.1267430099331721 epoch: 19835 Epoch 19835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19835With loss 0.1267430099331721 epoch: 19836 Epoch 19836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19836With loss 0.1267430099331721 epoch: 19837 Epoch 19837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19837With loss 0.1267430099331721 epoch: 19838 Epoch 19838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19838With loss 0.1267430099331721 epoch: 19839 Epoch 19839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19839With loss 0.1267430099331721 epoch: 19840 Epoch 19840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19840With loss 0.1267430099331721 epoch: 19841 Epoch 19841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19841With loss 0.1267430099331721 epoch: 19842 Epoch 19842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19842With loss 0.1267430099331721 epoch: 19843 Epoch 19843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19843With loss 0.1267430099331721 epoch: 19844 Epoch 19844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19844With loss 0.1267430099331721 epoch: 19845 Epoch 19845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19845With loss 0.1267430099331721 epoch: 19846 Epoch 19846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19846With loss 0.1267430099331721 epoch: 19847 Epoch 19847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19847With loss 0.1267430099331721 epoch: 19848 Epoch 19848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19848With loss 0.1267430099331721 epoch: 19849 Epoch 19849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19849With loss 0.1267430099331721 epoch: 19850 Epoch 19850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19850With loss 0.1267430099331721 epoch: 19851 Epoch 19851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19851With loss 0.1267430099331721 epoch: 19852 Epoch 19852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19852With loss 0.1267430099331721 epoch: 19853 Epoch 19853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19853With loss 0.1267430099331721 epoch: 19854 Epoch 19854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19854With loss 0.1267430099331721 epoch: 19855 Epoch 19855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19855With loss 0.1267430099331721 epoch: 19856 Epoch 19856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19856With loss 0.1267430099331721 epoch: 19857 Epoch 19857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19857With loss 0.1267430099331721 epoch: 19858 Epoch 19858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19858With loss 0.1267430099331721 epoch: 19859 Epoch 19859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19859With loss 0.1267430099331721 epoch: 19860 Epoch 19860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19860With loss 0.1267430099331721 epoch: 19861 Epoch 19861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19861With loss 0.1267430099331721 epoch: 19862 Epoch 19862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19862With loss 0.1267430099331721 epoch: 19863 Epoch 19863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19863With loss 0.1267430099331721 epoch: 19864 Epoch 19864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19864With loss 0.1267430099331721 epoch: 19865 Epoch 19865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19865With loss 0.1267430099331721 epoch: 19866 Epoch 19866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19866With loss 0.1267430099331721 epoch: 19867 Epoch 19867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19867With loss 0.1267430099331721 epoch: 19868 Epoch 19868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19868With loss 0.1267430099331721 epoch: 19869 Epoch 19869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19869With loss 0.1267430099331721 epoch: 19870 Epoch 19870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19870With loss 0.1267430099331721 epoch: 19871 Epoch 19871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19871With loss 0.1267430099331721 epoch: 19872 Epoch 19872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19872With loss 0.1267430099331721 epoch: 19873 Epoch 19873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19873With loss 0.1267430099331721 epoch: 19874 Epoch 19874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19874With loss 0.1267430099331721 epoch: 19875 Epoch 19875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19875With loss 0.1267430099331721 epoch: 19876 Epoch 19876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19876With loss 0.1267430099331721 epoch: 19877 Epoch 19877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19877With loss 0.1267430099331721 epoch: 19878 Epoch 19878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19878With loss 0.1267430099331721 epoch: 19879 Epoch 19879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19879With loss 0.1267430099331721 epoch: 19880 Epoch 19880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19880With loss 0.1267430099331721 epoch: 19881 Epoch 19881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19881With loss 0.1267430099331721 epoch: 19882 Epoch 19882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19882With loss 0.1267430099331721 epoch: 19883 Epoch 19883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19883With loss 0.1267430099331721 epoch: 19884 Epoch 19884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19884With loss 0.1267430099331721 epoch: 19885 Epoch 19885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19885With loss 0.1267430099331721 epoch: 19886 Epoch 19886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19886With loss 0.1267430099331721 epoch: 19887 Epoch 19887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19887With loss 0.1267430099331721 epoch: 19888 Epoch 19888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19888With loss 0.1267430099331721 epoch: 19889 Epoch 19889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19889With loss 0.1267430099331721 epoch: 19890 Epoch 19890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19890With loss 0.1267430099331721 epoch: 19891 Epoch 19891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19891With loss 0.1267430099331721 epoch: 19892 Epoch 19892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19892With loss 0.1267430099331721 epoch: 19893 Epoch 19893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19893With loss 0.1267430099331721 epoch: 19894 Epoch 19894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19894With loss 0.1267430099331721 epoch: 19895 Epoch 19895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19895With loss 0.1267430099331721 epoch: 19896 Epoch 19896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19896With loss 0.1267430099331721 epoch: 19897 Epoch 19897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19897With loss 0.1267430099331721 epoch: 19898 Epoch 19898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19898With loss 0.1267430099331721 epoch: 19899 Epoch 19899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19899With loss 0.1267430099331721 epoch: 19900 Epoch 19900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19900With loss 0.1267430099331721 epoch: 19901 Epoch 19901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19901With loss 0.1267430099331721 epoch: 19902 Epoch 19902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19902With loss 0.1267430099331721 epoch: 19903 Epoch 19903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19903With loss 0.1267430099331721 epoch: 19904 Epoch 19904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19904With loss 0.1267430099331721 epoch: 19905 Epoch 19905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19905With loss 0.1267430099331721 epoch: 19906 Epoch 19906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19906With loss 0.1267430099331721 epoch: 19907 Epoch 19907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19907With loss 0.1267430099331721 epoch: 19908 Epoch 19908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19908With loss 0.1267430099331721 epoch: 19909 Epoch 19909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19909With loss 0.1267430099331721 epoch: 19910 Epoch 19910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19910With loss 0.1267430099331721 epoch: 19911 Epoch 19911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19911With loss 0.1267430099331721 epoch: 19912 Epoch 19912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19912With loss 0.1267430099331721 epoch: 19913 Epoch 19913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19913With loss 0.1267430099331721 epoch: 19914 Epoch 19914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19914With loss 0.1267430099331721 epoch: 19915 Epoch 19915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19915With loss 0.1267430099331721 epoch: 19916 Epoch 19916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19916With loss 0.1267430099331721 epoch: 19917 Epoch 19917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19917With loss 0.1267430099331721 epoch: 19918 Epoch 19918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19918With loss 0.1267430099331721 epoch: 19919 Epoch 19919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19919With loss 0.1267430099331721 epoch: 19920 Epoch 19920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19920With loss 0.1267430099331721 epoch: 19921 Epoch 19921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19921With loss 0.1267430099331721 epoch: 19922 Epoch 19922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19922With loss 0.1267430099331721 epoch: 19923 Epoch 19923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19923With loss 0.1267430099331721 epoch: 19924 Epoch 19924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19924With loss 0.1267430099331721 epoch: 19925 Epoch 19925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19925With loss 0.1267430099331721 epoch: 19926 Epoch 19926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19926With loss 0.1267430099331721 epoch: 19927 Epoch 19927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19927With loss 0.1267430099331721 epoch: 19928 Epoch 19928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19928With loss 0.1267430099331721 epoch: 19929 Epoch 19929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19929With loss 0.1267430099331721 epoch: 19930 Epoch 19930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19930With loss 0.1267430099331721 epoch: 19931 Epoch 19931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19931With loss 0.1267430099331721 epoch: 19932 Epoch 19932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19932With loss 0.1267430099331721 epoch: 19933 Epoch 19933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19933With loss 0.1267430099331721 epoch: 19934 Epoch 19934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19934With loss 0.1267430099331721 epoch: 19935 Epoch 19935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19935With loss 0.1267430099331721 epoch: 19936 Epoch 19936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19936With loss 0.1267430099331721 epoch: 19937 Epoch 19937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19937With loss 0.1267430099331721 epoch: 19938 Epoch 19938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19938With loss 0.1267430099331721 epoch: 19939 Epoch 19939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19939With loss 0.1267430099331721 epoch: 19940 Epoch 19940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19940With loss 0.1267430099331721 epoch: 19941 Epoch 19941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19941With loss 0.1267430099331721 epoch: 19942 Epoch 19942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19942With loss 0.1267430099331721 epoch: 19943 Epoch 19943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19943With loss 0.1267430099331721 epoch: 19944 Epoch 19944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19944With loss 0.1267430099331721 epoch: 19945 Epoch 19945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19945With loss 0.1267430099331721 epoch: 19946 Epoch 19946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19946With loss 0.1267430099331721 epoch: 19947 Epoch 19947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19947With loss 0.1267430099331721 epoch: 19948 Epoch 19948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19948With loss 0.1267430099331721 epoch: 19949 Epoch 19949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19949With loss 0.1267430099331721 epoch: 19950 Epoch 19950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19950With loss 0.1267430099331721 epoch: 19951 Epoch 19951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19951With loss 0.1267430099331721 epoch: 19952 Epoch 19952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19952With loss 0.1267430099331721 epoch: 19953 Epoch 19953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19953With loss 0.1267430099331721 epoch: 19954 Epoch 19954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19954With loss 0.1267430099331721 epoch: 19955 Epoch 19955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19955With loss 0.1267430099331721 epoch: 19956 Epoch 19956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19956With loss 0.1267430099331721 epoch: 19957 Epoch 19957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19957With loss 0.1267430099331721 epoch: 19958 Epoch 19958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19958With loss 0.1267430099331721 epoch: 19959 Epoch 19959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19959With loss 0.1267430099331721 epoch: 19960 Epoch 19960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19960With loss 0.1267430099331721 epoch: 19961 Epoch 19961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19961With loss 0.1267430099331721 epoch: 19962 Epoch 19962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19962With loss 0.1267430099331721 epoch: 19963 Epoch 19963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19963With loss 0.1267430099331721 epoch: 19964 Epoch 19964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19964With loss 0.1267430099331721 epoch: 19965 Epoch 19965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19965With loss 0.1267430099331721 epoch: 19966 Epoch 19966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19966With loss 0.1267430099331721 epoch: 19967 Epoch 19967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19967With loss 0.1267430099331721 epoch: 19968 Epoch 19968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19968With loss 0.1267430099331721 epoch: 19969 Epoch 19969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19969With loss 0.1267430099331721 epoch: 19970 Epoch 19970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19970With loss 0.1267430099331721 epoch: 19971 Epoch 19971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19971With loss 0.1267430099331721 epoch: 19972 Epoch 19972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19972With loss 0.1267430099331721 epoch: 19973 Epoch 19973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19973With loss 0.1267430099331721 epoch: 19974 Epoch 19974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19974With loss 0.1267430099331721 epoch: 19975 Epoch 19975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19975With loss 0.1267430099331721 epoch: 19976 Epoch 19976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19976With loss 0.1267430099331721 epoch: 19977 Epoch 19977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19977With loss 0.1267430099331721 epoch: 19978 Epoch 19978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19978With loss 0.1267430099331721 epoch: 19979 Epoch 19979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19979With loss 0.1267430099331721 epoch: 19980 Epoch 19980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19980With loss 0.1267430099331721 epoch: 19981 Epoch 19981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19981With loss 0.1267430099331721 epoch: 19982 Epoch 19982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19982With loss 0.1267430099331721 epoch: 19983 Epoch 19983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19983With loss 0.1267430099331721 epoch: 19984 Epoch 19984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19984With loss 0.1267430099331721 epoch: 19985 Epoch 19985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19985With loss 0.1267430099331721 epoch: 19986 Epoch 19986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19986With loss 0.1267430099331721 epoch: 19987 Epoch 19987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19987With loss 0.1267430099331721 epoch: 19988 Epoch 19988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19988With loss 0.1267430099331721 epoch: 19989 Epoch 19989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19989With loss 0.1267430099331721 epoch: 19990 Epoch 19990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19990With loss 0.1267430099331721 epoch: 19991 Epoch 19991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19991With loss 0.1267430099331721 epoch: 19992 Epoch 19992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19992With loss 0.1267430099331721 epoch: 19993 Epoch 19993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19993With loss 0.1267430099331721 epoch: 19994 Epoch 19994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19994With loss 0.1267430099331721 epoch: 19995 Epoch 19995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19995With loss 0.1267430099331721 epoch: 19996 Epoch 19996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19996With loss 0.1267430099331721 epoch: 19997 Epoch 19997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19997With loss 0.1267430099331721 epoch: 19998 Epoch 19998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19998With loss 0.1267430099331721 epoch: 19999 Epoch 19999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 19999With loss 0.1267430099331721 epoch: 20000 Epoch 20000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267 New best model saved.Epoch 20000With loss 0.1267430099331721 Final Test Loss: 0.10735390810582557
linear_reg_model_results
{'Test MSE': 0.10735390810582557,
'Test Variance': 0.00462803670415804,
'Training SSE': 6.519777153031311,
'Weights': array([0.11354108, 0.59706048]),
'Test Predictions': array([0.17614558, 0.55449468, 0.53486729, 0.1445206 , 0.1435579 ,
0.49789844, 0.30975106, 0.38699935, 0.42571516, 0.1282072 ,
0.19399106, 0.11939938, 0.17361914, 0.1509515 , 0.22850899,
0.12507402, 0.58918957, 0.1545058 , 0.44563971, 0.12854019,
0.35934569, 0.42307477, 0.13649604, 0.14887161]),
'Test Y': array([[0.05128089],
[0.50621368],
[0.36238072],
[0.02461088],
[0.04186107],
[0.31594137],
[0.55279644],
[0.20356262],
[0.62744653],
[0.02838701],
[0.38199484],
[0.06194675],
[0. ],
[0.03599609],
[0.51953776],
[0.07701797],
[0.94539646],
[0.09505313],
[0.39451291],
[0.06045871],
[0.34274477],
[1. ],
[0.07778869],
[0.00334834]]),
'Test X': array([[1. , 0.10485454],
[1. , 0.73854093],
[1. , 0.70566755],
[1. , 0.05188673],
[1. , 0.05027434],
[1. , 0.64374946],
[1. , 0.32862664],
[1. , 0.45800764],
[1. , 0.52285168],
[1. , 0.02456387],
[1. , 0.13474344],
[1. , 0.0098119 ],
[1. , 0.10062307],
[1. , 0.06265766],
[1. , 0.19255654],
[1. , 0.01931619],
[1. , 0.79665043],
[1. , 0.06861067],
[1. , 0.55622275],
[1. , 0.02512158],
[1. , 0.4116913 ],
[1. , 0.51842937],
[1. , 0.03844662],
[1. , 0.05917411]]),
'Train X': array([[1. , 0.4200342 ],
[1. , 0.99003552],
[1. , 0.05861999],
[1. , 0.06287809],
[1. , 0.16061716],
[1. , 0.01758102],
[1. , 0.26834883],
[1. , 0.04747488],
[1. , 0.08441668],
[1. , 0.06000593],
[1. , 0.10231302],
[1. , 0.83270938],
[1. , 0.14477639],
[1. , 0.07557376],
[1. , 0.05897609],
[1. , 0.61965782],
[1. , 0.35197438],
[1. , 0.39957923],
[1. , 0.47092934],
[1. , 0.5249551 ],
[1. , 0.07063242],
[1. , 0.02667966],
[1. , 0.73586119],
[1. , 0.0543546 ],
[1. , 1. ],
[1. , 0.14115758],
[1. , 0.04990376],
[1. , 0.59222961],
[1. , 0.03852851],
[1. , 0.02871397],
[1. , 0.14231285],
[1. , 0.63923501],
[1. , 0.0192567 ],
[1. , 0.16200099],
[1. , 0.90243559],
[1. , 0.33592332],
[1. , 0.13173687],
[1. , 0.05633408],
[1. , 0.38135607],
[1. , 0.92622988],
[1. , 0.31260042],
[1. , 0.22370553],
[1. , 0.06231636],
[1. , 0.00513842],
[1. , 0.00641446],
[1. , 0.30881952],
[1. , 0.00793101],
[1. , 0.97278207],
[1. , 0.00104294],
[1. , 0.03577998],
[1. , 0.31322956],
[1. , 0.54872572],
[1. , 0.79207628],
[1. , 0.10428193],
[1. , 0.67437369],
[1. , 0.01525062],
[1. , 0.05995648],
[1. , 0.05055985],
[1. , 0.01976644],
[1. , 0. ]]),
'Train Y': array([[2.37808128e-01],
[6.77523461e-01],
[2.01888395e-02],
[1.91033017e-02],
[2.01535550e-01],
[1.33984130e-02],
[7.34992242e-01],
[1.02372670e-02],
[4.46816029e-03],
[2.29578003e-02],
[5.46154775e-02],
[4.34926892e-01],
[7.97186056e-01],
[9.47119118e-02],
[8.48581226e-01],
[3.93732683e-01],
[8.01826139e-01],
[6.20151563e-01],
[4.19046628e-01],
[2.69683236e-01],
[2.36421524e-02],
[6.24027501e-02],
[4.52383784e-01],
[7.52036825e-02],
[7.32441420e-01],
[1.83732082e-01],
[2.17559621e-02],
[3.68493776e-01],
[4.69345945e-02],
[2.06431190e-02],
[3.21026829e-01],
[1.19590388e-01],
[7.85534374e-02],
[2.02731826e-01],
[8.54771745e-01],
[4.56070406e-01],
[4.46764351e-01],
[7.85887320e-04],
[5.93301340e-01],
[5.67179157e-01],
[3.36761364e-01],
[3.58935097e-01],
[9.70106145e-02],
[5.34610696e-02],
[5.50947363e-02],
[8.96603381e-01],
[1.16583568e-02],
[7.58538927e-01],
[5.63595790e-02],
[3.02510491e-02],
[3.86064947e-01],
[3.09473750e-01],
[5.05386832e-01],
[7.63668887e-02],
[2.96466308e-01],
[6.11718873e-02],
[7.87006838e-02],
[5.40972834e-02],
[1.35926853e-02],
[4.29471088e-02]]),
'Train Predictions': array([0.36432691, 0.70465217, 0.14854076, 0.1510831 , 0.20943924,
0.12403801, 0.27376156, 0.14188646, 0.16394295, 0.14936825,
0.17462814, 0.61071895, 0.19998134, 0.15866319, 0.14875337,
0.48351428, 0.32369107, 0.35211405, 0.39471438, 0.42697103,
0.15571291, 0.12947045, 0.55289472, 0.14599407, 0.71060156,
0.1978207 , 0.14333665, 0.46713798, 0.13654493, 0.13068506,
0.19851046, 0.49520304, 0.1250385 , 0.21026547, 0.65234971,
0.31410762, 0.19219596, 0.14717593, 0.34123372, 0.66655634,
0.30018244, 0.24710681, 0.15074772, 0.11660903, 0.1173709 ,
0.29792501, 0.11827637, 0.69435081, 0.11416378, 0.1349039 ,
0.30055808, 0.44116353, 0.58645853, 0.1758037 , 0.51618296,
0.12264663, 0.14933872, 0.14372837, 0.12534284, 0.11354108])}
from sklearn.metrics import r2_score
r2_score(linear_reg_model_results['Test Y'], linear_reg_model_results['Test Predictions'])
0.5364606974290856
polynomial_reg_model_results = learning_model(df, 3, polynomial_regression, 10000, 0.5, mean_sqaured_error)
epoch: 1 Epoch 1/10000 - Train Loss: 1.0021 - Val Loss: 0.0670 New best model saved.Epoch 1With loss 0.06703549462494307 epoch: 2 Epoch 2/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 3 Epoch 3/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 4 Epoch 4/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 5 Epoch 5/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 6 Epoch 6/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 7 Epoch 7/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 8 Epoch 8/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9 Epoch 9/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 10 Epoch 10/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 11 Epoch 11/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 12 Epoch 12/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 13 Epoch 13/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 14 Epoch 14/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 15 Epoch 15/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 16 Epoch 16/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 17 Epoch 17/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 18 Epoch 18/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 19 Epoch 19/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 20 Epoch 20/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 21 Epoch 21/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 22 Epoch 22/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 23 Epoch 23/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 24 Epoch 24/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 25 Epoch 25/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 26 Epoch 26/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 27 Epoch 27/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 28 Epoch 28/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 29 Epoch 29/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 30 Epoch 30/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 31 Epoch 31/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 32 Epoch 32/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 33 Epoch 33/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 34 Epoch 34/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 35 Epoch 35/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 36 Epoch 36/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 37 Epoch 37/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 38 Epoch 38/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 39 Epoch 39/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 40 Epoch 40/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 41 Epoch 41/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 42 Epoch 42/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 43 Epoch 43/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 44 Epoch 44/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 45 Epoch 45/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 46 Epoch 46/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 47 Epoch 47/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 48 Epoch 48/10000 - 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Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1882 Epoch 1882/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1883 Epoch 1883/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1884 Epoch 1884/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1885 Epoch 1885/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1886 Epoch 1886/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1887 Epoch 1887/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1888 Epoch 1888/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1889 Epoch 1889/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1890 Epoch 1890/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1891 Epoch 1891/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1892 Epoch 1892/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1893 Epoch 1893/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1894 Epoch 1894/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1895 Epoch 1895/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1896 Epoch 1896/10000 - 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Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1912 Epoch 1912/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1913 Epoch 1913/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1914 Epoch 1914/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1915 Epoch 1915/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1916 Epoch 1916/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1917 Epoch 1917/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1918 Epoch 1918/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1919 Epoch 1919/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1920 Epoch 1920/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1921 Epoch 1921/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1922 Epoch 1922/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1923 Epoch 1923/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1924 Epoch 1924/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1925 Epoch 1925/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1926 Epoch 1926/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1927 Epoch 1927/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1928 Epoch 1928/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1929 Epoch 1929/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1930 Epoch 1930/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1931 Epoch 1931/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1932 Epoch 1932/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1933 Epoch 1933/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1934 Epoch 1934/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1935 Epoch 1935/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1936 Epoch 1936/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1937 Epoch 1937/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1938 Epoch 1938/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1939 Epoch 1939/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1940 Epoch 1940/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1941 Epoch 1941/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1942 Epoch 1942/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1943 Epoch 1943/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1944 Epoch 1944/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1945 Epoch 1945/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1946 Epoch 1946/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1947 Epoch 1947/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1948 Epoch 1948/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1949 Epoch 1949/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1950 Epoch 1950/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1951 Epoch 1951/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1952 Epoch 1952/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1953 Epoch 1953/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1954 Epoch 1954/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1955 Epoch 1955/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1956 Epoch 1956/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1957 Epoch 1957/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1958 Epoch 1958/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1959 Epoch 1959/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1960 Epoch 1960/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1961 Epoch 1961/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1962 Epoch 1962/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1963 Epoch 1963/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1964 Epoch 1964/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1965 Epoch 1965/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1966 Epoch 1966/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1967 Epoch 1967/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1968 Epoch 1968/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1969 Epoch 1969/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1970 Epoch 1970/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1971 Epoch 1971/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1972 Epoch 1972/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1973 Epoch 1973/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1974 Epoch 1974/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1975 Epoch 1975/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1976 Epoch 1976/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1977 Epoch 1977/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1978 Epoch 1978/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1979 Epoch 1979/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1980 Epoch 1980/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1981 Epoch 1981/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1982 Epoch 1982/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1983 Epoch 1983/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1984 Epoch 1984/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1985 Epoch 1985/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1986 Epoch 1986/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1987 Epoch 1987/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1988 Epoch 1988/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1989 Epoch 1989/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1990 Epoch 1990/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1991 Epoch 1991/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1992 Epoch 1992/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1993 Epoch 1993/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1994 Epoch 1994/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1995 Epoch 1995/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1996 Epoch 1996/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1997 Epoch 1997/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1998 Epoch 1998/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 1999 Epoch 1999/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 2000 Epoch 2000/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 2001 Epoch 2001/10000 - 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Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9877 Epoch 9877/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9878 Epoch 9878/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9879 Epoch 9879/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9880 Epoch 9880/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9881 Epoch 9881/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9882 Epoch 9882/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9883 Epoch 9883/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9884 Epoch 9884/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9885 Epoch 9885/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9886 Epoch 9886/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9887 Epoch 9887/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9888 Epoch 9888/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9889 Epoch 9889/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9890 Epoch 9890/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9891 Epoch 9891/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9892 Epoch 9892/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9893 Epoch 9893/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9894 Epoch 9894/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9895 Epoch 9895/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9896 Epoch 9896/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9897 Epoch 9897/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9898 Epoch 9898/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9899 Epoch 9899/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9900 Epoch 9900/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9901 Epoch 9901/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9902 Epoch 9902/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9903 Epoch 9903/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9904 Epoch 9904/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9905 Epoch 9905/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9906 Epoch 9906/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9907 Epoch 9907/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9908 Epoch 9908/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9909 Epoch 9909/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9910 Epoch 9910/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9911 Epoch 9911/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9912 Epoch 9912/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9913 Epoch 9913/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9914 Epoch 9914/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9915 Epoch 9915/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9916 Epoch 9916/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9917 Epoch 9917/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9918 Epoch 9918/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9919 Epoch 9919/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9920 Epoch 9920/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9921 Epoch 9921/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9922 Epoch 9922/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9923 Epoch 9923/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9924 Epoch 9924/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9925 Epoch 9925/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9926 Epoch 9926/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9927 Epoch 9927/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9928 Epoch 9928/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9929 Epoch 9929/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9930 Epoch 9930/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9931 Epoch 9931/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9932 Epoch 9932/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9933 Epoch 9933/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9934 Epoch 9934/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9935 Epoch 9935/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9936 Epoch 9936/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9937 Epoch 9937/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9938 Epoch 9938/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9939 Epoch 9939/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9940 Epoch 9940/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9941 Epoch 9941/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9942 Epoch 9942/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9943 Epoch 9943/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9944 Epoch 9944/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9945 Epoch 9945/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9946 Epoch 9946/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9947 Epoch 9947/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9948 Epoch 9948/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9949 Epoch 9949/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9950 Epoch 9950/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9951 Epoch 9951/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9952 Epoch 9952/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9953 Epoch 9953/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9954 Epoch 9954/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9955 Epoch 9955/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9956 Epoch 9956/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9957 Epoch 9957/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9958 Epoch 9958/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9959 Epoch 9959/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9960 Epoch 9960/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9961 Epoch 9961/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9962 Epoch 9962/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9963 Epoch 9963/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9964 Epoch 9964/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9965 Epoch 9965/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9966 Epoch 9966/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9967 Epoch 9967/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9968 Epoch 9968/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9969 Epoch 9969/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9970 Epoch 9970/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9971 Epoch 9971/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9972 Epoch 9972/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9973 Epoch 9973/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9974 Epoch 9974/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9975 Epoch 9975/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9976 Epoch 9976/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9977 Epoch 9977/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9978 Epoch 9978/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9979 Epoch 9979/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9980 Epoch 9980/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9981 Epoch 9981/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9982 Epoch 9982/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9983 Epoch 9983/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9984 Epoch 9984/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9985 Epoch 9985/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9986 Epoch 9986/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9987 Epoch 9987/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9988 Epoch 9988/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9989 Epoch 9989/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9990 Epoch 9990/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9991 Epoch 9991/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9992 Epoch 9992/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9993 Epoch 9993/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9994 Epoch 9994/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9995 Epoch 9995/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9996 Epoch 9996/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9997 Epoch 9997/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9998 Epoch 9998/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 9999 Epoch 9999/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 epoch: 10000 Epoch 10000/10000 - Train Loss: 0.1419 - Val Loss: 0.0933 Final Test Loss: 0.11031876244860889
polynomial_reg_model_results
{'Test MSE': 0.11031876244860889,
'Test Variance': 0.003733228714103682,
'Training SSE': 8.513092560649522,
'Weights': array([ 0.0859916 , -0.11545697, 0.86592295]),
'Test Predictions': array([0.7931043 , 0.082182 , 0.19026941, 0.08218143, 0.13451684,
0.08528663, 0.08223546, 0.17811373, 0.34756428, 0.08367801,
0.6869981 , 0.14492153, 0.0822117 , 0.08314143, 0.0821686 ,
0.08694788, 0.08215544, 0.08318486, 0.08305041, 0.0821594 ,
0.08236767, 0.28336672, 0.08498647, 0.08231548]),
'Test Y': array([[7.58538927e-01],
[7.87006838e-02],
[2.37808128e-01],
[2.29578003e-02],
[3.36761364e-01],
[5.50947363e-02],
[7.85887320e-04],
[6.20151563e-01],
[8.35468912e-01],
[2.83870065e-02],
[8.54771745e-01],
[4.56070406e-01],
[9.47119118e-02],
[0.00000000e+00],
[7.52341228e-02],
[1.83732082e-01],
[1.91033017e-02],
[8.95471626e-02],
[3.61132972e-02],
[9.70106145e-02],
[5.40972834e-02],
[3.09473750e-01],
[2.44623230e-02],
[7.82947449e-02]]),
'Test X': array([[1.00000000e+00, 9.72782071e-01, 9.46304958e-01],
[1.00000000e+00, 5.99564754e-02, 3.59477894e-03],
[1.00000000e+00, 4.20034205e-01, 1.76428733e-01],
[1.00000000e+00, 6.00059280e-02, 3.60071139e-03],
[1.00000000e+00, 3.12600417e-01, 9.77190210e-02],
[1.00000000e+00, 6.41446213e-03, 4.11453244e-05],
[1.00000000e+00, 5.63340753e-02, 3.17352804e-03],
[1.00000000e+00, 3.99579231e-01, 1.59663561e-01],
[1.00000000e+00, 6.20307990e-01, 3.84782003e-01],
[1.00000000e+00, 2.45638691e-02, 6.03383665e-04],
[1.00000000e+00, 9.02435591e-01, 8.14389997e-01],
[1.00000000e+00, 3.35923323e-01, 1.12844479e-01],
[1.00000000e+00, 7.55737633e-02, 5.71139370e-03],
[1.00000000e+00, 1.00623071e-01, 1.01250023e-02],
[1.00000000e+00, 7.21028909e-02, 5.19882688e-03],
[1.00000000e+00, 1.41157581e-01, 1.99254626e-02],
[1.00000000e+00, 6.28780862e-02, 3.95365373e-03],
[1.00000000e+00, 1.01353658e-01, 1.02725640e-02],
[1.00000000e+00, 3.42956682e-02, 1.17619286e-03],
[1.00000000e+00, 6.23163559e-02, 3.88332821e-03],
[1.00000000e+00, 5.05598548e-02, 2.55629891e-03],
[1.00000000e+00, 5.48725725e-01, 3.01099921e-01],
[1.00000000e+00, 9.36312392e-03, 8.76680896e-05],
[1.00000000e+00, 8.07800191e-02, 6.52541148e-03]]),
'Train X': array([[1.00000000e+00, 8.61463088e-01, 7.42118652e-01],
[1.00000000e+00, 2.68348829e-01, 7.20110938e-02],
[1.00000000e+00, 9.64383061e-02, 9.30034688e-03],
[1.00000000e+00, 2.66796568e-02, 7.11804085e-04],
[1.00000000e+00, 1.92556544e-01, 3.70780227e-02],
[1.00000000e+00, 3.85285116e-02, 1.48444620e-03],
[1.00000000e+00, 7.93100734e-03, 6.29008774e-05],
[1.00000000e+00, 7.38540928e-01, 5.45442702e-01],
[1.00000000e+00, 1.04281926e-01, 1.08747201e-02],
[1.00000000e+00, 6.74373693e-01, 4.54779878e-01],
[1.00000000e+00, 3.51974378e-01, 1.23885963e-01],
[1.00000000e+00, 5.92229608e-01, 3.50735908e-01],
[1.00000000e+00, 5.43545992e-02, 2.95442245e-03],
[1.00000000e+00, 6.29183034e-01, 3.95871290e-01],
[1.00000000e+00, 1.97664423e-02, 3.90712242e-04],
[1.00000000e+00, 4.52564374e-01, 2.04814513e-01],
[1.00000000e+00, 3.08819516e-01, 9.53694932e-02],
[1.00000000e+00, 4.58007643e-01, 2.09771001e-01],
[1.00000000e+00, 5.91741105e-02, 3.50157536e-03],
[1.00000000e+00, 1.93161915e-02, 3.73115256e-04],
[1.00000000e+00, 9.26229881e-01, 8.57901793e-01],
[1.00000000e+00, 5.89760889e-02, 3.47817907e-03],
[1.00000000e+00, 6.19657816e-01, 3.83975809e-01],
[1.00000000e+00, 3.84466190e-02, 1.47814251e-03],
[1.00000000e+00, 7.37533173e-02, 5.43955181e-03],
[1.00000000e+00, 7.35861190e-01, 5.41491692e-01],
[1.00000000e+00, 9.90035520e-01, 9.80170331e-01],
[1.00000000e+00, 2.23705529e-01, 5.00441637e-02],
[1.00000000e+00, 7.96650434e-01, 6.34651915e-01],
[1.00000000e+00, 1.31736868e-01, 1.73546024e-02],
[1.00000000e+00, 1.75810195e-02, 3.09092247e-04],
[1.00000000e+00, 1.44776388e-01, 2.09602026e-02],
[1.00000000e+00, 1.52506204e-02, 2.32581423e-04],
[1.00000000e+00, 1.92567005e-02, 3.70820515e-04],
[1.00000000e+00, 4.11691304e-01, 1.69489730e-01],
[1.00000000e+00, 9.81189535e-03, 9.62732903e-05],
[1.00000000e+00, 8.44166843e-02, 7.12617659e-03],
[1.00000000e+00, 7.06324169e-02, 4.98893832e-03],
[1.00000000e+00, 6.39235007e-01, 4.08621394e-01],
[1.00000000e+00, 5.18429374e-01, 2.68769016e-01],
[1.00000000e+00, 5.19186696e-01, 2.69554825e-01],
[1.00000000e+00, 6.43749455e-01, 4.14413361e-01],
[1.00000000e+00, 1.02404314e-01, 1.04866435e-02],
[1.00000000e+00, 5.22851680e-01, 2.73373879e-01],
[1.00000000e+00, 7.87863834e-02, 6.20729421e-03],
[1.00000000e+00, 5.86199882e-02, 3.43630302e-03],
[1.00000000e+00, 1.02313017e-01, 1.04679534e-02],
[1.00000000e+00, 4.20633341e-01, 1.76932408e-01],
[1.00000000e+00, 4.99037630e-02, 2.49038556e-03],
[1.00000000e+00, 1.60617164e-01, 2.57978733e-02],
[1.00000000e+00, 1.42312848e-01, 2.02529466e-02],
[1.00000000e+00, 5.56222754e-01, 3.09383752e-01],
[1.00000000e+00, 1.34743436e-01, 1.81557935e-02],
[1.00000000e+00, 2.87139745e-02, 8.24492333e-04],
[1.00000000e+00, 3.13229564e-01, 9.81127597e-02],
[1.00000000e+00, 6.86106736e-02, 4.70742453e-03],
[1.00000000e+00, 1.62000990e-01, 2.62443208e-02],
[1.00000000e+00, 3.81356067e-01, 1.45432450e-01],
[1.00000000e+00, 1.00000000e+00, 1.00000000e+00],
[1.00000000e+00, 5.02743402e-02, 2.52750928e-03]]),
'Train Y': array([[0.68203824],
[0.73499224],
[0.08589017],
[0.06240275],
[0.51953776],
[0.04693459],
[0.01165836],
[0.50621368],
[0.07636689],
[0.29646631],
[0.80182614],
[0.36849378],
[0.07520368],
[0.78460822],
[0.01359269],
[0.75030091],
[0.89660338],
[0.20356262],
[0.00334834],
[0.07701797],
[0.56717916],
[0.84858123],
[0.39373268],
[0.07778869],
[0.05223698],
[0.45238378],
[0.67752346],
[0.3589351 ],
[0.94539646],
[0.44676435],
[0.01339841],
[0.79718606],
[0.06117189],
[0.07855344],
[0.34274477],
[0.06194675],
[0.00446816],
[0.02364215],
[0.11959039],
[1. ],
[0.68130575],
[0.31594137],
[0.07255021],
[0.62744653],
[0.0296656 ],
[0.02018884],
[0.05461548],
[0.16407974],
[0.02175596],
[0.20153555],
[0.32102683],
[0.39451291],
[0.38199484],
[0.02064312],
[0.38606495],
[0.09505313],
[0.20273183],
[0.59330134],
[0.73244142],
[0.04186107]]),
'Train Predictions': array([0.62914725, 0.11736491, 0.0829105 , 0.08352761, 0.09586631,
0.08282863, 0.08513037, 0.47303325, 0.08336819, 0.40193478,
0.1526294 , 0.32132483, 0.08227428, 0.35614206, 0.08404775,
0.21109347, 0.13291886, 0.21475694, 0.08219163, 0.0840845 ,
0.72192875, 0.08219423, 0.34694124, 0.08283262, 0.08218649,
0.46992137, 0.82043708, 0.10349762, 0.54357241, 0.0858094 ,
0.08422939, 0.08742607, 0.0844322 , 0.08408938, 0.18522401,
0.08494211, 0.08241582, 0.08215663, 0.3660221 , 0.25886857,
0.25946158, 0.37051627, 0.08324893, 0.26234544, 0.0822702 ,
0.08219908, 0.08324329, 0.19063638, 0.08238634, 0.08978619,
0.08709808, 0.28967429, 0.08615604, 0.08339031, 0.13478515,
0.08214628, 0.09001301, 0.16789467, 0.83645757, 0.0823757 ])}
from sklearn.metrics import r2_score
r2_score(polynomial_reg_model_results['Test Y'], polynomial_reg_model_results['Test Predictions'])
0.633258739582736
def plot_results(features, actual_values, predicted_values):
plt.scatter(features[:, 1], actual_values, label='Actual Values')
plt.scatter(features[:, 1], predicted_values, color='red', label='Predicted Values')
plt.xlabel('Feature Values')
plt.ylabel('Target Values')
plt.title('Actual vs Predicted Values')
plt.legend()
plt.show()
plot_results(polynomial_reg_model_results['Test X'],
polynomial_reg_model_results['Test Y'],
polynomial_reg_model_results['Test Predictions'])
plot_results(polynomial_reg_model_results['Train X'],
polynomial_reg_model_results['Train Y'],
polynomial_reg_model_results['Train Predictions'])
plot_results(linear_reg_model_results['Test X'],
linear_reg_model_results['Test Y'],
linear_reg_model_results['Test Predictions'])
plot_results(linear_reg_model_results['Train X'],
linear_reg_model_results['Train Y'],
linear_reg_model_results['Train Predictions'])
def data_loader_1(df):
column_names = ["x", "y"]
df = pd.read_csv(r"C:\Users\fatma\OneDrive\Masaüstü\regression_data.dat", sep=' ', names=column_names)
scaler = MinMaxScaler()
X = scaler.fit_transform(df["x"].values.reshape(-1,1))
Y = scaler.fit_transform(df["y"].values.reshape(-1,1))
# Assuming you have your features X and labels Y
X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2)
return [X_train, Y_train, X_test, Y_test]
def data_loader_2(df):
column_names = ["x", "y"]
df = pd.read_csv(r"C:\Users\fatma\OneDrive\Masaüstü\regression_data.dat", sep=' ', names=column_names)
df["x2"] = df['x'] ** 2
y = df["y"]
x = df.drop("y", axis=1)
scaler = MinMaxScaler()
X = scaler.fit_transform(x)
Y = scaler.fit_transform(y.values.reshape(-1,1))
# Assuming you have your features X and labels Y
X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2)
return [X_train, Y_train, X_test, Y_test]
def sigmoid(x):
return 1 / (1 + np.exp(-x))
def parameter_init(input_size, J_initial):
#Initiallize The Parameters
W1 = np.random.rand(J_initial, input_size)
b1 = np.zeros((J_initial, 1))
W2 = np.random.rand(1, J_initial)
b2 = np.zeros((1, 1))
return W1, b1, W2, b2
def forwardprop(W1, X, W2, Y, b1, b2, criterion):
#Forward Propagation
Z1 = np.dot(W1, X.reshape(-1, 1)) + b1
A1 = sigmoid(Z1)
Z2 = np.dot(W2, A1) + b2
A2 = Z2 # Linear activation for regression
#Compute The Loss with Mean Squared Error:
loss = criterion(Y, A2)
return Z1, A1, Z2, A2, loss
def backprop(Z1, A1, Z2, A2, X, Y, W1, b1, W2, b2, learning_rate):
#Backpropagation:
# Compute gradients for the output layer
dZ2 = A2 - Y.reshape(-1, 1)
dW2 = np.dot(dZ2, A1.T)
db2 = np.sum(dZ2, axis=1, keepdims=True)
# Compute gradients for the hidden layer
dZ1 = np.dot(W2.T, dZ2) * (A1 * (1 - A1))
dW1 = np.dot(dZ1, X.reshape(-1, 1).T)
db1 = np.sum(dZ1, axis=1, keepdims=True)
#Update The Weights:
W1 -= learning_rate * dW1
b1 -= learning_rate * db1
W2 -= learning_rate * dW2
b2 -= learning_rate * db2
return W1, b1, W2, b2
from statistics import mean
def training_mlp(data_loader, df, input_size, hidden_size, num_epochs, learning_rate, criterion, lr_multip):
#Load the data.
data = data_loader(df)
hidden_size_counter = 1
X_train = data[0]
Y_train = data[1]
X_test = data[2]
Y_test = data[3]
best_train_loss = float('inf')
test_loss_previous = float('inf')
test_loss = 100
#initial_learning_rate = learning_rate
while test_loss < test_loss_previous:
W1, b1, W2, b2 = parameter_init(input_size, hidden_size)
learning_rate = initial_learning_rate
for epoch in range(num_epochs):
total_loss = 0
for X,Y in zip(X_train,Y_train):
# Forward propagation & Loss
Z1, A1, Z2, A2, loss = forwardprop(W1, X, W2, Y, b1, b2, criterion)
total_loss += loss
# Backward propagation & Updating The Weights
W1, b1, W2, b2 = backprop(Z1, A1, Z2, A2, X, Y, W1, b1, W2, b2, learning_rate)
#Update the learning rate.
learning_rate = learning_rate * lr_multip
if epoch % 100 == 0:
print(f"Epoch {epoch}/{num_epochs} - Loss: {loss}")
avg_loss = (total_loss)
if avg_loss < best_train_loss + 0.001:
best_train_loss = loss
# Save the model weights
# Update the best weights
best_weights = np.concatenate([W1.flatten(), b1.flatten(), W2.flatten(), b2.flatten()])
np.save('best_weights.npy', best_weights)
print("New best model saved." + f"Epoch {epoch + 1}" +f"With loss {best_train_loss}")
train_predictions = [forwardprop(W1, X, W2, Y, b1, b2, criterion)[2] for X, Y in zip(X_train, Y_train)]
test_loss_previous = test_loss
test_predictions = [forwardprop(W1, X, W2, Y, b1, b2, criterion)[2] for X, Y in zip(X_test, Y_test)]
test_loss = mean([forwardprop(W1, X, W2, Y, b1, b2, criterion)[4] for X, Y in zip(X_test, Y_test)])
test_variance = np.var([forwardprop(W1, X, W2, Y, b1, b2, criterion)[4] for X, Y in zip(X_test, Y_test)])
print("Final Test Error:", test_loss)
print("Final Test Variance:", test_variance)
print("Hidden Layer Size:", hidden_size)
hidden_size += 1
hidden_size_counter += 1
return dict([('Test MSE', test_loss),
('Test Variance', test_variance),
('Training SSE', avg_loss),
('Weights', best_weights),
('Test Predictions', test_predictions),
('Test Y', data[3]),
('Test X', data[2]),
('Train X', data[0]),
('Train Y' , data[1]),
('Train Predictions',train_predictions),
('Hidden Layer Size', hidden_size)])
mlp_model_results = training_mlp(data_loader_1, df, 1, 3, 5000, 0.5, mean_sqaured_error, 0.9)
Epoch 0/5000 - Loss: 0.0037868632675621934 New best model saved.Epoch 1With loss 0.0037868632675621934 Epoch 100/5000 - Loss: 0.0017577716135764759 Epoch 200/5000 - Loss: 0.0019821771927129943 Epoch 300/5000 - Loss: 0.0023266099972085764 Epoch 400/5000 - Loss: 0.002485535526055076 Epoch 500/5000 - Loss: 0.002584423383535972 Epoch 600/5000 - Loss: 0.0026626099016677186 Epoch 700/5000 - Loss: 0.002732659786093844 Epoch 800/5000 - Loss: 0.0027985491419221555 Epoch 900/5000 - Loss: 0.0028613904227460132 Epoch 1000/5000 - Loss: 0.0029213258067322984 Epoch 1100/5000 - Loss: 0.002978187444246942 Epoch 1200/5000 - Loss: 0.003031740373256954 Epoch 1300/5000 - Loss: 0.0030817758342781775 Epoch 1400/5000 - Loss: 0.0031281467624036073 Epoch 1500/5000 - Loss: 0.0031707784905783036 Epoch 1600/5000 - Loss: 0.0032096675044312037 Epoch 1700/5000 - Loss: 0.003244873969611369 Epoch 1800/5000 - Loss: 0.003276511108737396 Epoch 1900/5000 - Loss: 0.0033047333699290564 Epoch 2000/5000 - Loss: 0.0033297246931812408 Epoch 2100/5000 - Loss: 0.0033516877257277825 Epoch 2200/5000 - Loss: 0.0033708344786377944 Epoch 2300/5000 - Loss: 0.003387378638611363 Epoch 2400/5000 - Loss: 0.003401529547646655 Epoch 2500/5000 - Loss: 0.0034134877316238828 Epoch 2600/5000 - Loss: 0.0034234417847172666 Epoch 2700/5000 - Loss: 0.0034315663855990536 Epoch 2800/5000 - Loss: 0.003438021219891602 Epoch 2900/5000 - Loss: 0.00344295059972153 Epoch 3000/5000 - Loss: 0.0034464835967985457 Epoch 3100/5000 - Loss: 0.0034487345341643323 Epoch 3200/5000 - Loss: 0.003449803709895358 Epoch 3300/5000 - Loss: 0.0034497782515565674 Epoch 3400/5000 - Loss: 0.0034487330222442865 Epoch 3500/5000 - Loss: 0.0034467315175149855 Epoch 3600/5000 - Loss: 0.0034438267076754123 Epoch 3700/5000 - Loss: 0.0034400617922985843 Epoch 3800/5000 - Loss: 0.0034354708439649677 Epoch 3900/5000 - Loss: 0.00343007932661831 Epoch 4000/5000 - Loss: 0.0034239044810298303 Epoch 4100/5000 - Loss: 0.0034169555761052657 Epoch 4200/5000 - Loss: 0.0034092340305691797 Epoch 4300/5000 - Loss: 0.0034007334153980467 Epoch 4400/5000 - Loss: 0.0033914393538409713 Epoch 4500/5000 - Loss: 0.0033813293437328362 Epoch 4600/5000 - Loss: 0.003370372537103625 Epoch 4700/5000 - Loss: 0.0033585295261351934 Epoch 4800/5000 - Loss: 0.00334575220398636 Epoch 4900/5000 - Loss: 0.00333198379585357 Final Test Error: 0.05758651483223049 Final Test Variance: 0.02323155962637371 Hidden Layer Size: 3 Epoch 0/5000 - Loss: 0.0017952897517376045 Epoch 100/5000 - Loss: 0.00935991911155352 Epoch 200/5000 - Loss: 0.015775720883914615 Epoch 300/5000 - Loss: 0.017168346368646187 Epoch 400/5000 - Loss: 0.017555854390188353 Epoch 500/5000 - Loss: 0.017633873781149664 Epoch 600/5000 - Loss: 0.01759562672229757 Epoch 700/5000 - Loss: 0.01750780420893938 Epoch 800/5000 - Loss: 0.017398347340244567 Epoch 900/5000 - Loss: 0.017275852931952104 Epoch 1000/5000 - Loss: 0.017137983426256272 Epoch 1100/5000 - Loss: 0.016979400811064815 Epoch 1200/5000 - Loss: 0.01679602285204293 Epoch 1300/5000 - Loss: 0.016586555230690306 Epoch 1400/5000 - Loss: 0.01635346193479936 Epoch 1500/5000 - Loss: 0.016103137989905876 Epoch 1600/5000 - Loss: 0.01584400647140351 Epoch 1700/5000 - Loss: 0.015583124028473125 Epoch 1800/5000 - Loss: 0.015324032102049492 Epoch 1900/5000 - Loss: 0.01506724076482882 Epoch 2000/5000 - Loss: 0.014811950793659032 Epoch 2100/5000 - Loss: 0.014557339257563048 Epoch 2200/5000 - Loss: 0.014303025126137243 Epoch 2300/5000 - Loss: 0.014049057149619409 Epoch 2400/5000 - Loss: 0.013795765443009417 Epoch 2500/5000 - Loss: 0.013543630949908457 Epoch 2600/5000 - Loss: 0.0132932038698189 Epoch 2700/5000 - Loss: 0.013045058452284505 Epoch 2800/5000 - Loss: 0.01279976728539921 Epoch 2900/5000 - Loss: 0.012557884573374077 Epoch 3000/5000 - Loss: 0.012319933620710133 Epoch 3100/5000 - Loss: 0.012086396840492002 Epoch 3200/5000 - Loss: 0.011857707889802154 Epoch 3300/5000 - Loss: 0.011634245932201222 Epoch 3400/5000 - Loss: 0.011416332058985061 Epoch 3500/5000 - Loss: 0.011204227805844751 Epoch 3600/5000 - Loss: 0.010998135583265702 Epoch 3700/5000 - Loss: 0.01079820074269704 Epoch 3800/5000 - Loss: 0.010604514943117411 Epoch 3900/5000 - Loss: 0.010417120465416789 Epoch 4000/5000 - Loss: 0.01023601513794639 Epoch 4100/5000 - Loss: 0.010061157575226057 Epoch 4200/5000 - Loss: 0.009892472482709814 Epoch 4300/5000 - Loss: 0.009729855835096536 Epoch 4400/5000 - Loss: 0.009573179787848945 Epoch 4500/5000 - Loss: 0.009422297227708026 Epoch 4600/5000 - Loss: 0.009277045906373602 Epoch 4700/5000 - Loss: 0.009137252131866636 Epoch 4800/5000 - Loss: 0.009002734014949465 Epoch 4900/5000 - Loss: 0.00887330428434252 Final Test Error: 0.05864729063623083 Final Test Variance: 0.026595870677969657 Hidden Layer Size: 4
mlp_model_results
{'Test MSE': 0.05864729063623083,
'Test Variance': 0.026595870677969657,
'Training SSE': 3.200119851974068,
'Weights': array([ 0.98615377, 0.94907831, 0.60077753, -0.25148248, -0.29301353,
-0.27523531, 0.43465059, 0.67218129, 0.56717331, -0.69322984]),
'Test Predictions': [array([[0.59132119]]),
array([[0.53728938]]),
array([[0.02135268]]),
array([[-0.10233612]]),
array([[0.52443095]]),
array([[0.53826283]]),
array([[-0.02615479]]),
array([[0.64045184]]),
array([[-0.13014551]]),
array([[0.1942877]]),
array([[0.49412192]]),
array([[0.55583055]]),
array([[-0.03637553]]),
array([[-0.10507344]]),
array([[-0.07664909]]),
array([[-0.11942372]]),
array([[0.48179823]]),
array([[-0.12154715]]),
array([[0.00110623]]),
array([[0.58049511]])],
'Test Y': array([[0.43492689],
[0.30947375],
[0.0296656 ],
[0.07701797],
[0.75030091],
[0.39451291],
[0.84858123],
[0.75853893],
[0.04294711],
[0.18373208],
[0.45607041],
[0.29646631],
[0.07520368],
[0.01339841],
[0.0361133 ],
[0.01165836],
[0.33676136],
[0.05509474],
[0.02364215],
[0.50538683]]),
'Test X': array([[0.83270938],
[0.54872572],
[0.07878638],
[0.01931619],
[0.45256437],
[0.55622275],
[0.05897609],
[0.97278207],
[0. ],
[0.14115758],
[0.33592332],
[0.67437369],
[0.0543546 ],
[0.01758102],
[0.03429567],
[0.00793101],
[0.31260042],
[0.00641446],
[0.07063242],
[0.79207628]]),
'Train X': array([[0.08078002],
[0.47092934],
[0.05633408],
[0.10428193],
[0.73854093],
[0.64374946],
[0.39957923],
[0.73586119],
[0.08441668],
[0.31322956],
[0.32862664],
[0.04990376],
[0.22370553],
[0.5249551 ],
[0.45800764],
[0.0098119 ],
[0.06265766],
[0.10240431],
[0.00936312],
[0.16200099],
[0.01525062],
[0.03844662],
[0.13474344],
[0.02871397],
[0.90243559],
[0.16061716],
[0.92622988],
[0.05995648],
[0.04120265],
[0.52285168],
[0.59222961],
[0.00104294],
[0.10062307],
[0.61965782],
[0.05917411],
[0.06231636],
[0.05188673],
[0.51842937],
[0.70566755],
[0.86146309],
[0.4116913 ],
[0.00513842],
[0.35197438],
[0.07210289],
[0.14231285],
[0.26834883],
[0.05861999],
[0.14477639],
[0.4200342 ],
[0.62030799],
[0.05055985],
[0.02456387],
[0.01976644],
[0.06861067],
[0.07375332],
[0.06000593],
[1. ],
[0.09643831],
[0.42063334],
[0.63923501],
[0.05027434],
[0.5191867 ],
[0.02667966],
[0.62918303],
[0.03577998],
[0.03852851],
[0.30881952],
[0.10485454],
[0.19255654],
[0.04747488],
[0.0192567 ],
[0.07557376],
[0.06287809],
[0.02512158],
[0.13173687],
[0.38135607],
[0.79665043],
[0.99003552],
[0.10135366],
[0.10231302]]),
'Train Y': array([[7.82947449e-02],
[4.19046628e-01],
[7.85887320e-04],
[7.63668887e-02],
[5.06213678e-01],
[3.15941367e-01],
[6.20151563e-01],
[4.52383784e-01],
[4.46816029e-03],
[3.86064947e-01],
[5.52796438e-01],
[2.17559621e-02],
[3.58935097e-01],
[2.69683236e-01],
[2.03562615e-01],
[6.19467514e-02],
[3.59960866e-02],
[7.25502130e-02],
[2.44623230e-02],
[2.02731826e-01],
[6.11718873e-02],
[7.77886864e-02],
[3.81994837e-01],
[2.06431190e-02],
[8.54771745e-01],
[2.01535550e-01],
[5.67179157e-01],
[7.87006838e-02],
[2.72891307e-02],
[6.27446531e-01],
[3.68493776e-01],
[5.63595790e-02],
[0.00000000e+00],
[3.93732683e-01],
[3.34833912e-03],
[9.70106145e-02],
[2.46108841e-02],
[1.00000000e+00],
[3.62380724e-01],
[6.82038242e-01],
[3.42744766e-01],
[5.34610696e-02],
[8.01826139e-01],
[7.52341228e-02],
[3.21026829e-01],
[7.34992242e-01],
[2.01888395e-02],
[7.97186056e-01],
[2.37808128e-01],
[8.35468912e-01],
[5.40972834e-02],
[2.83870065e-02],
[1.35926853e-02],
[9.50531270e-02],
[5.22369826e-02],
[2.29578003e-02],
[7.32441420e-01],
[8.58901724e-02],
[1.64079741e-01],
[1.19590388e-01],
[4.18610653e-02],
[6.81305752e-01],
[6.24027501e-02],
[7.84608218e-01],
[3.02510491e-02],
[4.69345945e-02],
[8.96603381e-01],
[5.12808922e-02],
[5.19537760e-01],
[1.02372670e-02],
[7.85534374e-02],
[9.47119118e-02],
[1.91033017e-02],
[6.04587131e-02],
[4.46764351e-01],
[5.93301340e-01],
[9.45396456e-01],
[6.77523461e-01],
[8.95471626e-02],
[5.46154775e-02]]),
'Train Predictions': [array([[0.02643817]]),
array([[0.52711518]]),
array([[-0.03203989]]),
array([[0.08965072]]),
array([[0.56815627]]),
array([[0.55074231]]),
array([[0.51470564]]),
array([[0.56759101]]),
array([[0.03584242]]),
array([[0.48217923]]),
array([[0.4906383]]),
array([[-0.04589049]]),
array([[0.38588441]]),
array([[0.53423999]]),
array([[0.52525026]]),
array([[-0.11674109]]),
array([[-0.01776952]]),
array([[0.08442066]]),
array([[-0.11738611]]),
array([[0.25117733]]),
array([[-0.10867364]]),
array([[-0.06886825]]),
array([[0.17617127]]),
array([[-0.08665592]]),
array([[0.61329092]]),
array([[0.24752716]]),
array([[0.62187857]]),
array([[-0.02394267]]),
array([[-0.063542]]),
array([[0.53397114]]),
array([[0.54309956]]),
array([[-0.12878907]]),
array([[0.07948188]]),
array([[0.54704082]]),
array([[-0.02570921]]),
array([[-0.01855581]]),
array([[-0.04169152]]),
array([[0.53340552]]),
array([[0.56153726]]),
array([[0.59983184]]),
array([[0.51729812]]),
array([[-0.12330674]]),
array([[0.50078601]]),
array([[0.00468916]]),
array([[0.19752878]]),
array([[0.44608328]]),
array([[-0.02695451]]),
array([[0.20441319]]),
array([[0.518932]]),
array([[0.54713757]]),
array([[-0.04450838]]),
array([[-0.09375963]]),
array([[-0.10161787]]),
array([[-0.00376886]]),
array([[0.00874708]]),
array([[-0.02383068]]),
array([[0.65246661]]),
array([[0.06797606]]),
array([[0.51904512]]),
array([[0.55002976]]),
array([[-0.04511072]]),
array([[0.53350244]]),
array([[-0.09017373]]),
array([[0.54847516]]),
array([[-0.07390007]]),
array([[-0.06871183]]),
array([[0.47944515]]),
array([[0.09125034]]),
array([[0.3253351]]),
array([[-0.05094501]]),
array([[-0.10243077]]),
array([[0.01326698]]),
array([[-0.01726075]]),
array([[-0.09282158]]),
array([[0.16762436]]),
array([[0.51019369]]),
array([[0.58164744]]),
array([[0.64796534]]),
array([[0.08150475]]),
array([[0.08416697]])],
'Hidden Layer Size': 5}
def plot_results(features, actual_values, predicted_values):
features = features.flatten()
actual_values = actual_values.flatten()
plt.scatter(features, actual_values, label='Actual Values')
plt.scatter(features, predicted_values, color='red', label='Predicted Values')
plt.xlabel('Feature Values')
plt.ylabel('Target Values')
plt.title('Actual vs Predicted Values')
plt.legend()
plt.show()
plot_results(mlp_model_results['Train X'],
mlp_model_results['Train Y'],
mlp_model_results['Train Predictions'])
plot_results(mlp_model_results['Test X'],
mlp_model_results['Test Y'],
mlp_model_results['Test Predictions'])
mlp_model_results_2 = training_mlp(data_loader_2, df, 2, 3, 5000, 0.5, mean_sqaured_error, 0.9)
Epoch 0/5000 - Loss: 0.5450815600021557 New best model saved.Epoch 1With loss 0.5450815600021557 Epoch 100/5000 - Loss: 0.18713630232713924 Epoch 200/5000 - Loss: 0.18053772442084415 Epoch 300/5000 - Loss: 0.17795515962728367 Epoch 400/5000 - Loss: 0.17711674501785732 Epoch 500/5000 - Loss: 0.16730020932845707 Epoch 600/5000 - Loss: 0.15731727003887833 Epoch 700/5000 - Loss: 0.1506840110144563 Epoch 800/5000 - Loss: 0.14358152412546912 Epoch 900/5000 - Loss: 0.13680499294448473 Epoch 1000/5000 - Loss: 0.1310397072572069 Epoch 1100/5000 - Loss: 0.12632164911712312 Epoch 1200/5000 - Loss: 0.1225266270462016 Epoch 1300/5000 - Loss: 0.1194900986081265 Epoch 1400/5000 - Loss: 0.11705523095783989 Epoch 1500/5000 - Loss: 0.11508979649536408 Epoch 1600/5000 - Loss: 0.11348860020423605 Epoch 1700/5000 - Loss: 0.11217029119964181 Epoch 1800/5000 - Loss: 0.11107273977618108 Epoch 1900/5000 - Loss: 0.110148662931895 Epoch 2000/5000 - Loss: 0.10936201603176425 Epoch 2100/5000 - Loss: 0.10868519246840201 Epoch 2200/5000 - Loss: 0.10809691297197226 Epoch 2300/5000 - Loss: 0.10758065568213057 Epoch 2400/5000 - Loss: 0.1071234936066008 Epoch 2500/5000 - Loss: 0.10671523317844346 Epoch 2600/5000 - Loss: 0.10634777359804518 Epoch 2700/5000 - Loss: 0.1060146278266306 Epoch 2800/5000 - Loss: 0.10571056221027748 Epoch 2900/5000 - Loss: 0.10543132356050497 Epoch 3000/5000 - Loss: 0.10517343108497668 Epoch 3100/5000 - Loss: 0.10493401671472512 Epoch 3200/5000 - Loss: 0.10471070178791177 Epoch 3300/5000 - Loss: 0.10450150122398119 Epoch 3400/5000 - Loss: 0.10430474861493655 Epoch 3500/5000 - Loss: 0.10411903732689629 Epoch 3600/5000 - Loss: 0.10394317392421656 Epoch 3700/5000 - Loss: 0.10377614112656088 Epoch 3800/5000 - Loss: 0.10361706817552534 Epoch 3900/5000 - Loss: 0.10346520698506304 Epoch 4000/5000 - Loss: 0.10331991282424466 Epoch 4100/5000 - Loss: 0.10318062856436404 Epoch 4200/5000 - Loss: 0.1030468717385989 Epoch 4300/5000 - Loss: 0.10291822382850166 Epoch 4400/5000 - Loss: 0.10279432132005627 Epoch 4500/5000 - Loss: 0.10267484817207254 Epoch 4600/5000 - Loss: 0.102559529418055 Epoch 4700/5000 - Loss: 0.10244812568432447 Epoch 4800/5000 - Loss: 0.10234042845575733 Epoch 4900/5000 - Loss: 0.10223625595877625 Final Test Error: 0.0488531253964141 Final Test Variance: 0.003073457338854577 Hidden Layer Size: 3 Epoch 0/5000 - Loss: 0.6207398653735822 Epoch 100/5000 - Loss: 0.18877245600471115 Epoch 200/5000 - Loss: 0.18121416908268187 Epoch 300/5000 - Loss: 0.17891992515338906 Epoch 400/5000 - Loss: 0.18051374333682257 Epoch 500/5000 - Loss: 0.17388148118636934 Epoch 600/5000 - Loss: 0.1616556766732332 Epoch 700/5000 - Loss: 0.15285500048162554 Epoch 800/5000 - Loss: 0.146069660436672 Epoch 900/5000 - Loss: 0.13941721544503385 Epoch 1000/5000 - Loss: 0.13340753744405184 Epoch 1100/5000 - Loss: 0.12831573329484938 Epoch 1200/5000 - Loss: 0.12410808338487968 Epoch 1300/5000 - Loss: 0.12067718141686076 Epoch 1400/5000 - Loss: 0.11789563091316564 Epoch 1500/5000 - Loss: 0.11564036401805286 Epoch 1600/5000 - Loss: 0.11380379468286629 Epoch 1700/5000 - Loss: 0.11229707209742289 Epoch 1800/5000 - Loss: 0.11104921673788709 Epoch 1900/5000 - Loss: 0.1100045854151254 Epoch 2000/5000 - Loss: 0.10911998516424394 Epoch 2100/5000 - Loss: 0.10836202676745654 Epoch 2200/5000 - Loss: 0.1077049150054404 Epoch 2300/5000 - Loss: 0.10712868956444142 Epoch 2400/5000 - Loss: 0.10661785971013507 Epoch 2500/5000 - Loss: 0.1061603581782472 Epoch 2600/5000 - Loss: 0.10574674412879091 Epoch 2700/5000 - Loss: 0.10536959663758715 Epoch 2800/5000 - Loss: 0.10502305263838252 Epoch 2900/5000 - Loss: 0.10470245409102495 Epoch 3000/5000 - Loss: 0.10440407784026177 Epoch 3100/5000 - Loss: 0.10412492827430239 Epoch 3200/5000 - Loss: 0.10386257785615473 Epoch 3300/5000 - Loss: 0.10361504427325761 Epoch 3400/5000 - Loss: 0.10338069566770512 Epoch 3500/5000 - Loss: 0.10315817743192295 Epoch 3600/5000 - Loss: 0.10294635557517037 Epoch 3700/5000 - Loss: 0.10274427282124327 Epoch 3800/5000 - Loss: 0.10255111448277149 Epoch 3900/5000 - Loss: 0.1023661818396568 Epoch 4000/5000 - Loss: 0.10218887127643907 Epoch 4100/5000 - Loss: 0.10201865784097025 Epoch 4200/5000 - Loss: 0.10185508220129753 Epoch 4300/5000 - Loss: 0.1016977402196847 Epoch 4400/5000 - Loss: 0.10154627454826105 Epoch 4500/5000 - Loss: 0.101400367792615 Epoch 4600/5000 - Loss: 0.10125973689762416 Epoch 4700/5000 - Loss: 0.10112412849187162 Epoch 4800/5000 - Loss: 0.1009933149892021 Epoch 4900/5000 - Loss: 0.10086709129307067 Final Test Error: 0.04886576393303674 Final Test Variance: 0.0029858758962448303 Hidden Layer Size: 4
mlp_model_results_2
{'Test MSE': 0.04886576393303674,
'Test Variance': 0.0029858758962448303,
'Training SSE': 3.7902930656361473,
'Weights': array([ 0.27515433, 0.77416172, 0.47139188, 0.57313076, 0.123971 ,
0.6792633 , -0.22815325, -0.21574784, -0.19100724, 0.54263679,
0.44236537, 0.29514763, -0.44235161]),
'Test Predictions': [array([[0.47751004]]),
array([[0.63574465]]),
array([[0.51320778]]),
array([[0.257764]]),
array([[0.58467346]]),
array([[0.26798474]]),
array([[0.24827412]]),
array([[0.14743071]]),
array([[0.50528965]]),
array([[0.54992253]]),
array([[0.13862969]]),
array([[0.1454549]]),
array([[0.84007813]]),
array([[0.60933179]]),
array([[0.70124311]]),
array([[0.5506293]]),
array([[0.18528067]]),
array([[0.30887274]]),
array([[0.37792306]]),
array([[0.47217589]])],
'Test Y': array([[0.31594137],
[0.20356262],
[0.30947375],
[0.09471191],
[0.3589351 ],
[0.07829474],
[0.02364215],
[0.01165836],
[0.39451291],
[0.36238072],
[0.05635958],
[0.05509474],
[0.68203824],
[0.45238378],
[0.62015156],
[1. ],
[0.0361133 ],
[0. ],
[0.44676435],
[0.78460822]]),
'Test X': array([[6.43749455e-01, 4.57806260e-01],
[4.58007643e-01, 2.56740090e-01],
[5.48725725e-01, 3.47953433e-01],
[7.55737633e-02, 1.89301186e-02],
[2.23705529e-01, 8.29027945e-02],
[8.07800191e-02, 2.05751958e-02],
[7.06324169e-02, 1.74094028e-02],
[7.93100734e-03, 1.55163272e-03],
[5.56222754e-01, 3.56088393e-01],
[7.05667549e-01, 5.37265965e-01],
[1.04294184e-03, 1.98217926e-04],
[6.41446213e-03, 1.24704661e-03],
[8.61463088e-01, 7.64699925e-01],
[7.35861190e-01, 5.78268528e-01],
[3.99579231e-01, 2.05058232e-01],
[5.18429374e-01, 3.16007488e-01],
[3.42956682e-02, 7.44276004e-03],
[1.00623071e-01, 2.72482272e-02],
[1.31736868e-01, 3.89969788e-02],
[6.29183034e-01, 4.40016426e-01]]),
'Train X': array([[5.92229608e-01, 3.96429159e-01],
[1.04281926e-01, 2.85483857e-02],
[4.74748814e-02, 1.08101757e-02],
[1.44776388e-01, 4.43875799e-02],
[2.45638691e-02, 5.13696972e-03],
[7.38540928e-01, 5.81978999e-01],
[1.75810195e-02, 3.57712990e-03],
[1.02313017e-01, 2.78460445e-02],
[3.51974378e-01, 1.67042787e-01],
[4.12026482e-02, 9.17243466e-03],
[6.28780862e-02, 1.51028012e-02],
[7.21028909e-02, 1.78578080e-02],
[5.63340753e-02, 1.32320853e-02],
[5.02743402e-02, 1.15617322e-02],
[5.19186696e-01, 3.16787907e-01],
[0.00000000e+00, 0.00000000e+00],
[9.81189535e-03, 1.93457531e-03],
[4.99037630e-02, 1.14615154e-02],
[1.00000000e+00, 1.00000000e+00],
[5.22851680e-01, 3.20577809e-01],
[7.37533173e-02, 1.83652638e-02],
[9.02435591e-01, 8.31049187e-01],
[1.42312848e-01, 4.33480157e-02],
[3.12600417e-01, 1.38376933e-01],
[9.36312392e-03, 1.84268584e-03],
[4.52564374e-01, 2.51691498e-01],
[1.02404314e-01, 2.78784726e-02],
[5.05598548e-02, 1.16390970e-02],
[1.92567005e-02, 3.94423569e-03],
[6.39235007e-01, 4.52256013e-01],
[3.81356067e-01, 1.90071780e-01],
[3.08819516e-01, 1.35756573e-01],
[1.92556544e-01, 6.64962605e-02],
[4.70929344e-01, 2.68917280e-01],
[5.18867262e-02, 1.20003689e-02],
[6.23163559e-02, 1.49394965e-02],
[7.92076284e-01, 6.58546263e-01],
[6.19657816e-01, 4.28569424e-01],
[3.84466190e-02, 8.47298282e-03],
[1.01353658e-01, 2.75061038e-02],
[1.04854540e-01, 2.87538262e-02],
[9.90035520e-01, 9.82036933e-01],
[6.20307990e-01, 4.29346097e-01],
[5.24955104e-01, 3.22762765e-01],
[2.66796568e-02, 5.62520599e-03],
[7.87863834e-02, 1.99400522e-02],
[5.13841698e-03, 9.93652255e-04],
[4.20034205e-01, 2.22521554e-01],
[3.85285116e-02, 8.49358876e-03],
[6.26576631e-02, 1.50386594e-02],
[5.86199882e-02, 1.38776602e-02],
[1.41157581e-01, 4.28639061e-02],
[1.60617164e-01, 5.13071584e-02],
[5.99564754e-02, 1.42590287e-02],
[6.00059280e-02, 1.42731956e-02],
[3.35923323e-01, 1.55053438e-01],
[2.68348829e-01, 1.09160342e-01],
[1.34743436e-01, 4.02154513e-02],
[6.74373693e-01, 4.96329431e-01],
[8.44166843e-02, 2.17503865e-02],
[5.91741105e-02, 1.40354283e-02],
[9.72782071e-01, 9.51314717e-01],
[4.11691304e-01, 2.15316918e-01],
[5.43545992e-02, 1.26798984e-02],
[8.32709382e-01, 7.19762845e-01],
[3.13229564e-01, 1.38815213e-01],
[1.52506204e-02, 3.07415875e-03],
[7.96650434e-01, 6.65303807e-01],
[1.97664423e-02, 4.05681241e-03],
[1.93161915e-02, 3.95735259e-03],
[2.51215841e-02, 5.26496273e-03],
[9.64383061e-02, 2.57878024e-02],
[6.86106736e-02, 1.67986186e-02],
[1.62000990e-01, 5.19309683e-02],
[4.20633341e-01, 2.23043292e-01],
[3.28626640e-01, 1.49741301e-01],
[3.57799847e-02, 7.80794274e-03],
[9.26229881e-01, 8.70830215e-01],
[5.89760889e-02, 1.39789910e-02],
[2.87139745e-02, 6.10148757e-03]]),
'Train Y': array([[3.68493776e-01],
[7.63668887e-02],
[1.02372670e-02],
[7.97186056e-01],
[2.83870065e-02],
[5.06213678e-01],
[1.33984130e-02],
[5.46154775e-02],
[8.01826139e-01],
[2.72891307e-02],
[1.91033017e-02],
[7.52341228e-02],
[7.85887320e-04],
[4.18610653e-02],
[6.81305752e-01],
[4.29471088e-02],
[6.19467514e-02],
[2.17559621e-02],
[7.32441420e-01],
[6.27446531e-01],
[5.22369826e-02],
[8.54771745e-01],
[3.21026829e-01],
[3.36761364e-01],
[2.44623230e-02],
[7.50300915e-01],
[7.25502130e-02],
[5.40972834e-02],
[7.85534374e-02],
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[5.93301340e-01],
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[8.95471626e-02],
[5.12808922e-02],
[6.77523461e-01],
[8.35468912e-01],
[2.69683236e-01],
[6.24027501e-02],
[2.96656030e-02],
[5.34610696e-02],
[2.37808128e-01],
[4.69345945e-02],
[3.59960866e-02],
[2.01888395e-02],
[1.83732082e-01],
[2.01535550e-01],
[7.87006838e-02],
[2.29578003e-02],
[4.56070406e-01],
[7.34992242e-01],
[3.81994837e-01],
[2.96466308e-01],
[4.46816029e-03],
[3.34833912e-03],
[7.58538927e-01],
[3.42744766e-01],
[7.52036825e-02],
[4.34926892e-01],
[3.86064947e-01],
[6.11718873e-02],
[9.45396456e-01],
[1.35926853e-02],
[7.70179687e-02],
[6.04587131e-02],
[8.58901724e-02],
[9.50531270e-02],
[2.02731826e-01],
[1.64079741e-01],
[5.52796438e-01],
[3.02510491e-02],
[5.67179157e-01],
[8.48581226e-01],
[2.06431190e-02]]),
'Train Predictions': [array([[0.47769319]]),
array([[0.31671598]]),
array([[0.20670143]]),
array([[0.40801878]]),
array([[0.17053326]]),
array([[0.61505912]]),
array([[0.16051271]]),
array([[0.31248459]]),
array([[0.72168157]]),
array([[0.19629991]]),
array([[0.2338107]]),
array([[0.25107632]]),
array([[0.22202524]]),
array([[0.21146421]]),
array([[0.54961101]]),
array([[0.13733558]]),
array([[0.14991128]]),
array([[0.2108295]]),
array([[0.89073515]]),
array([[0.54473112]]),
array([[0.25424358]]),
array([[0.87295429]]),
array([[0.40230227]]),
array([[0.70902662]]),
array([[0.1493164]]),
array([[0.64307859]]),
array([[0.31268024]]),
array([[0.21195411]]),
array([[0.16287472]]),
array([[0.475377]]),
array([[0.71333069]]),
array([[0.70633478]]),
array([[0.51831597]]),
array([[0.61778122]]),
array([[0.21424085]]),
array([[0.23278377]]),
array([[0.7308751]]),
array([[0.47107041]]),
array([[0.19184814]]),
array([[0.31043189]]),
array([[0.3179512]]),
array([[0.89133013]]),
array([[0.47108752]]),
array([[0.54196872]]),
array([[0.17366193]]),
array([[0.26404446]]),
array([[0.14380913]]),
array([[0.68227634]]),
array([[0.19197938]]),
array([[0.2334074]]),
array([[0.22609759]]),
array([[0.39962558]]),
array([[0.44492923]]),
array([[0.22850074]]),
array([[0.22858998]]),
array([[0.71990998]]),
array([[0.66202095]]),
array([[0.38482205]]),
array([[0.50353317]]),
array([[0.27525504]]),
array([[0.22709198]]),
array([[0.89141096]]),
array([[0.69063978]]),
array([[0.21853777]]),
array([[0.80320334]]),
array([[0.70944961]]),
array([[0.15727244]]),
array([[0.74005181]]),
array([[0.16359857]]),
array([[0.16295907]]),
array([[0.17135379]]),
array([[0.30001123]]),
array([[0.24445204]]),
array([[0.4481553]]),
array([[0.68164497]]),
array([[0.71756724]]),
array([[0.18761009]]),
array([[0.88346634]]),
array([[0.22673631]]),
array([[0.17671076]])],
'Hidden Layer Size': 5}
plot_results(mlp_model_results_2['Train X'][:,0],
mlp_model_results_2['Train Y'],
mlp_model_results_2['Train Predictions'])
plot_results(mlp_model_results_2['Test X'][:,0],
mlp_model_results_2['Test Y'],
mlp_model_results_2['Test Predictions'])
training_sse = [linear_reg_model_results['Training SSE'], polynomial_reg_model_results['Training SSE'],
mlp_model_results['Training SSE'],mlp_model_results_2['Training SSE']]
test_mse = [linear_reg_model_results['Test MSE'], polynomial_reg_model_results['Test MSE'],
mlp_model_results['Test MSE'],mlp_model_results_2['Test MSE']]
test_variance = [linear_reg_model_results['Test Variance'], polynomial_reg_model_results['Test Variance'],
mlp_model_results['Test Variance'],mlp_model_results_2['Test Variance']]
data = {'Training SSE':training_sse, 'Test MSE': test_mse, 'Test Variance': test_variance }
df = pd.DataFrame(data)
df
| Training SSE | Test MSE | Test Variance | |
|---|---|---|---|
| 0 | 6.519777 | 0.107354 | 0.004628 |
| 1 | 8.513093 | 0.110319 | 0.003733 |
| 2 | 3.200120 | 0.058647 | 0.026596 |
| 3 | 3.790293 | 0.048866 | 0.002986 |